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In order to study the characteristics of the wake magnetic anomaly when multiple ships are sailing at the same time, based on the basic theoretical knowledge of ship wake, the waveform, velocity, and distribution of the induced magnetic field of the ship wake were studied, and the variation characteristics and distribution patterns of the induced magnetic field of the multi-ship wake were obtained. By taking the formation of three ships as an example, the distribution of the induced magnetic field and the distribution of the magnetic field in the directions of x and y during the movement of the ships were analyzed. The magnetic field distribution characteristics of the wake formed when the three ships sail at the same time were solved, and the abnormal induced magnetic field generated during various ship combination operations was analyzed. The experimental results obtained from the simulation were consistent with the existing measurement results. APP Design tools were used for magnetic anomaly simulation system software development of multi-ship wake. The system not only could accurately, intuitively, and quickly simulate and set the magnetic induction intensity and variation patterns of the wake of three ships in any direction but also had the advantages of simple operation and cost saving, which provided a theoretical reference and a more effective simulation platform for ship wake experiment.

【Objective】 Improving efficiency and water flow rate is a criterion in designing pumping stations. This paper presents a software we developed to optimize the combination of running pumps and blade angles for drainage pumping stations that are equipped with fully adjustable axial (mixed) flow pumps. 【Method】 The software was developed using Java in the integrated environment IntelliJ IDE, with a universal visualization interface. It calculated water flow rate and flow resistance parameters of each pump, based on measured operating parameters, which include head and motor input powers, and performance curve of each pump. The software generated curves illustrating how the device efficiency changes with the blade angle. A dynamic programming model was established to optimize the operation and scheduling of the station, with the optimization objective to maximize the average device efficiency or total flow rate. This enables us to obtain an optimal combination of running pumps and blade angle for each running pump. 【Result】 The software was applied to some drainage pumping stations to graphically analyze the variation in device efficiency with blade angle (or flow rate). It provides optimized operation plans under different required flow rates when Hsy=5.3 m. When the required flow rate was 32 m3/s, the optimal scheme provided by the software improves the efficiency of the device by 0.76%, compared to the simple decision scheme for each running pump with a blade angle of +1.0°. 【Conclusion】 The software we developed is accurate and user - friendly. Practical applications showed that its performance is stable and can improve the operation and management of drainage pumping stations.

Copyright of Bearing is the property of Bearing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The residual subsidence caused by mining has a long stabilization time and great potential harm. It is necessary to accurately predict the residual subsidence value of the ground of the mining area. In view of the large modeling error and weak applicability of the traditional residual subsidence Verhulst model, the first data of the data sequence was kept unchanged in the modeling process, which leads to the poor prediction effect. Based on the direct discrete Verhulst model, the PSO (particle swarm optimization) algorithm was introduced to find the optimal solution of the initial value of the model iteration, and the direct discrete Verhulst model of mining residual subsidence based on PSO was established. The surface residual subsidence monitoring data sets of two time scales in Yangquan, Shanxi and Yanzhou, Shandong were used for example verification. Finally, the visualization of the model algorithm was realized by using Matlab App Designer tool. The results show that the prediction accuracy and stability gain of residual subsidence in mining area based on direct discrete Verhulst model optimized by particle swarm optimization are obvious, and the developed calculation tool is correct and effective. [ABSTRACT FROM AUTHOR]

Copyright of China Petroleum Machinery is the property of China Petroleum Machinery Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Reasonable sensor placement is the premise of station structure health monitoring and the key to obtaining accurate response information. Aiming at the issues such as the fuzzy positioning of the existing sensor strain monitoring points and the lack of placement method, a Python-based optimal sensor placement program for railway station roofs is compiled and developed based on the regulations and model analysis results. The purpose of this program is to assist engineers in more efficiently screening and optimizing the placement of dynamic and static sensors through customized screening limits and intelligent optimization algorithms, thereby avoiding signal interference and cost wastage caused by redundant sensor arrangements and maximizing the coverage and sensitivity of structural response. The results indicate that this program can display the strain monitoring points visually, and clearly show the position of the measuring point along the member direction and its specific coordinates on the member cross section. The issue of fuzzy strain monitoring points in the traditional placement method is effectively solved. Secondly, the program improves the rationality and science of measuring placement and makes up for the shortage of acceleration sensor placement based on experience by using the particle swarm optimization algorithm and minimize modal assurance criterion. Thirdly, the program with a simple operation interface improves the efficiency of sensor screening optimization, meeting the requirements of engineers for the placement of monitoring points. [ABSTRACT FROM AUTHOR]

[Objective] China's backbone natural gas pipeline network comprises numerous large-diameter and long-distance pipelines.Periodic pigging operations play a crucial role in ensuring the safe, stable and efficient operation of these pipelines. However, since current pigging operations rely heavily on operator experience and the establishment of monitoring points, the inability to simulate pigging schemes in advance prevents accurate prediction of parameters such as the operating speed, position and arrival time of the pig, and pressure changes in the pipe. [Methods] To address this challenge, a mathematical model for dynamic prediction of the pigging process was constructed and put into practice according to the characteristics of actual pigging operations. Subsequently, the software for dynamic prediction of the pigging process was developed and applied to the actual pigging operations of several sections(A-B, B-C and D-E) of a designated pipeline for predicting the pigging time and pigging speed. [Results] The improved two-phase flow transient pigging model and the dynamic prediction software accurately forecast critical parameters, including the running speed, position and arrival time at each station of the pig during the pigging process; The accuracy of the dynamic pigging prediction technology and the reliability of the software were verified using the monitoring data of 52 actual pigging operations; And compared with actual measurements, the software's predictions had average relative errors of 5.94% for pigging time and 6.56% for pigging speed. [Conclusion] The utilization of the dynamic prediction technology and software enables efficient preparation of pigging operation schemes for natural gas pipelines, reduces manual workload, ensures pigging process safety, and enhances pipeline management intelligence.

Fast reactor plays an important role in the sustainable development of nuclear energy, and it is a key reactor type that be committed to develop all over the world. The reactor physics calculation is the basis of fast reactor core design, and the research of related methods and the development of corresponding computing codes are very important in the R&D of fast reactor theory and numerical simulation technology. In this paper, the developments of reactor physics analysis methods for the fast reactors, especially the developments in the past 20 years are reviewed. By reviewing the dedicated and general computing codes developed at home and abroad for the fast reactors, the progress of fast reactor physics analysis theory is introduced. Inside, the consistency among different methods and the trend of the developments in recent years are discussed. Furthermore, the suggestions for the development of fast reactor physics analysis methods and for the progress of independent software development in our country are provide.

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The research on construction risk of underground cavern group is still in infancy. In order to quickly assess the risk factors and prevent construction accidents of tunnels, the construction risk assessment software is created based on probabilistic neural network ( PNN) and analytic hierarchy process (AHP) to establish risk assessment model. Through statistical analysis of risk factors and references to relevant documents, a risk indicator system for cavern groups construction is established. There are four first-class factors which include engineering geology, nature, design and management and 23 risk control indexes. Firstly typical sample data are collected, then construction risk grade is evaluated based on PNN and the weights of risk factors are analyzed by AHP to quickly capture the risk points, take risk control measures and optimize the construction scheme. The developed software is used to evaluate the risk of Xietaizi station cavern group project of Chongqing rail transit line 18, and the risk level is set to be IV. The impact of groundwater, surrounding rock grade and support timeliness need to be monitored and controlled during the construction process. And the evaluation results are consistent with the field situation, which verifies the effectiveness and practicability of the evaluation software. The research shows that the index system and evaluation method established for the construction of underground caverns can effectively predict the risk level, guide the construction process in real time, and ensure the construction safety of underground caverns. [ABSTRACT FROM AUTHOR]

It is critical to develop the methods and technologies of studying the species and concentration in the processing of adsorption, and diffusion of some important radionuclides in spent fuel waste processing such as Beishan granites in domestic institutions and universities for the geological disposal of high-level radioactive wastes. Enrich the models used or constructed and the calculation procedures developed in the past two decades in this field. In order to evaluate the safety of the repository, chemical speciation analysis of nuclides is the premise of research to accurately predict the migration behavior of nuclides. In view of the rapid development of China's nuclear energy industry and the need to establish the identification of nuclides in the environment, it is of great significance to carry out the study of the chemical forms of nuclides around the repository in China. Aiming at the research requirements of element speciation distribution in the environment, a set of B/S architecture element speciation distribution simulation software is developed with JAVA as the development tool, MySQL as the database, and Tomcat as the container. In order to solve the convergence problem of chemical reaction equilibrium nonlinear equations encountered in simulation calculation, the method based on chemical reaction potential energy is introduced to solve the chemical reaction nonlinear equations quickly, and the multi-phase equilibrium calculation can be expanded. SSCS was used to study the species of U in groundwater and the effects of Eh, pH, different ions and concentrations. The calculation results indicate that neptunium mainly exists as NpO2CO-3(aq) in groundwater. Under strong acidic conditions, neptunium maily exists as NpO+2(aq), while in weak acidic, neutral or weak alkaline conditions, the main species are NpO+2(aq) and NpO2OH.When the solution is in strong alkaline conditions, the species are complicated most of neptunium exists as NpO2(CO3)-3(aq), with the possible generation of NpO2(CO3)3-2 or NpO2(CO3)5-3. Np(Ⅴ) is stable in the reduction condition, while Np(Ⅳ) and Np(Ⅵ) are the possible generation. Comparing the neptunium calculation results of the software in the environment with the PHREEQC calculation results, the relative error is within 10 %. For the distribution of trace elements in the environment, a theoretical calculation solution is provided.

For co-rotating twin-screw gear transmissions, due to the complexity of the design process, multiple parameters as well as model iterations, cumbersome process and manifold work are needed. It is essential to develop a design and analysis software to improve the designing effect and efficiency. In this work a design and optimization model for co-rotating twin-screw gear transmission is established to develop a professional design and analysis software. The software development is based on the C++ programing language and the Qt application framework. Combining engineering practice cases, the operability, effect of optimization, and reliability of the developed software have been verified. The results show that the mass of the gear transmission is reduced by 7.98% compared to engineering applications. Optimization results can achieve stable convergence with a convergence accuracy of 99.02%, and the gear safety factor can be controlled within 8%. The developed software is expected to promote the transformation and upgrading of industrial design methods.

In order to realize the reading, parsing and display of the train record data, and to facilitate the data analysis and the later maintenance of the train control system, a data parsing tool for the onboard automatic train operation (ATO) system record board is developed. Based on the in-depth analysis of the requirement specifications, the specific functions of the parsing tool are clarified, and the general design idea of the software and the detailed design process of each function are given. Finally, the usage of the software is introduced to provide guidance for subsequent users. Meanwhile, the software functions are tested and verified based on the measured data. The test results show that the developed parsing tool can fully realize the designed functions and is easy to operate. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pipeline transportation is the first choice for oil and gas transportation due to its smooth and continuous transportation, large transportation volume and low freight. Pipeline leakage detection is an important guarantee to maintain its safe operation. In order to improve the accuracy of leakage detection and positioning, a software and hardware solution for oil pipeline leakage detection is designed based on the principle of negative pressure wave, and a leakage monitoring software is developed. The system is installed at both ends of the oil pipeline, and can complete the functions of pipeline status information collection, data transmission, leakage alarm and positioning functions. The global positioning system is used to unify the system time of the head and end data acquisition system to eliminate the dynamic response time difference of the head and end pressure sensors. The practical application results show that the system can accurately judge the leakage of oil pipeline and determine the leakage point. [ABSTRACT FROM AUTHOR]

Copyright of Bearing is the property of Bearing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In recent years, new type of slab ballastless track developed from CRTS III type has been widely applied to track of metro and intercity. In order to accurately obtain the effect of the structure under loading in the R&D and design, beam-plate-plate model is generally employed, which is difficult. Furthermore, there exists nonlinear contact relationships between the layers of the structure and between the track slab and the boss, thus high precision computational analysis can only rely on general FEM software. But these software are cumbersome to use, expensive to learn, and difficult for designers to master. In addition, after the implementation of the Code for Design of Railway Track (Limit State Method) Q/CR 9130-2018, the design method of the track structure is changed from tolerate stress- based method to limiting condition-based method, which is large change. Therefore, the software is developed based on ANSYS platform. In the software, the parametric modeling and static analysis module are developed by APDL; the reinforcement design and structure checking module is developed by APDL and C ++; the automatic generation module for calculation reports is developed by Python; the UI, including menus and dialogs, is developed by UIDL. Via menus and dialogs, all functions in the software are implemented: by entering the design parameters, the establishment and static analysis of the refined 3D finite element model are automatically completed; afterwards the stress, deformation, internal force and effect combination results of each component of the track can be viewed; by entering or modifying arrangement of bars or reinforcements, the checking according to the design code can be completed and the calculation report can be automatically generated. By comparing with the code method and other literature calculation results, the accuracy of the finite element analysis of this software is verified. Thanks to this software, the time expense of the model-building and arrangement of bars or reinforcements for the slab ballastless track has been reduced from several days to several hours, and the time expense of completing the calculation report has been reduced from hours to seconds. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Fuzhou University is the property of Journal of Fuzhou University, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Beijing University of Civil Engineering & Architecture is the property of Journal of Beijing University of Civil Engineering & Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Refrigeration is the property of Journal of Refrigeration Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

At present, the existing scaffold materials cannot well meet the high strength and toughness requirements for the repairing of typical stressed tissues. And the commercial software for 3D printing scaffold modeling and mechanical performance simulation is complex to operate and has poor interoperability with 3D printers. In order to solve these problems, a silk fibroin (SF) based bio-ink was prepared for tough scaffold, and a software was developed for compression performance simulation of 3D printing scaffold based on SF and finite element analysis strategy. The printability of the bio-ink and the mechanical properties of the corresponding hydrogels and 3D printing scaffolds were characterized. The cell compatibility of the related scaffolds was evaluated by using fibroblasts and living/dead staining kit. Based on the SF based bio-ink, scaffolds with different heights and porosities were designed and printed. By using the developed software and the universal testing machine, the compression performance of related scaffolds was simulated and tested separately, and further compared with each other. Results show that the SF based bio-ink has good printability. And the 3D printing scaffold prepared by this ink presents high strength and toughness (modulus of elasticity: (1.86 ± 0.28)MPa, modulus of compression: (1.95 ± 0.11)MPa, elongation at break: (114.03 ± 14.40)%, compression strain ≥ 70%). In addition, the scaffold has good cell compatibility (L929 cell viability≥92.4%), which is expected to be used for the repair and regeneration of stressed tissues. The software is easy to operate, and can be used not only for the modeling of 3D printing scaffolds, but also for accurately predicting their compressive mechanical properties. In addition, the model data can also be directly imported into the 3D printer to guide the efficient preparation of the corresponding 3D printing scaffolds. This research is expected to provide important guidance for the rapid design and fabrication of tissue specific 3D printing scaffolds with bionic structure and mechanical properties. [ABSTRACT FROM AUTHOR]

[Objectives] In this study, a method of detecting the external quality on freeze-dried strawberry based on binocular stereo vision was developed, in order to realize the nondestructive testing and grading of freeze-dried strawberry. [Methods]The binocular stereo vision technology was used to obtain the parallax data of each pixel in the freeze-dried strawberry image through the pixel matching algorithm, its three-dimensional model was established, and the volume of the model, color, shape and texture quality indexes of the image were calculated as the characteristic parameters. Then the successive projections algorithm (SPA)was used to screen the optimal characteristic parameters, and the external quality grade recognition model of freeze-dried strawberry was established with the unfiltered and filtered characteristic parameters respectively. In addition, the discrimination and grading effects of each model were compared. Finally, the optimal recognition model was selected to develop the external quality grading software of freeze-dried strawberry and verified. [Results]The total classification accuracy of the support vector machines (SVM) and the partial least squares discriminant analysis (PLS-DA) prediction models was 91.7% and 86.7%, respectively. The total classification accuracy of SVM model and PLS-DA model based on the feature parameters (volume and red component meanfiltered by SPA algorithm was 95.0% and 81.7% respectively. Finally, the external quality recognition software of freeze-dried strawberry was developed by using the SVM model constructed by the characteristic parameters screened by SPA algorithm, with the total accuracy of 90.8%. [Conclusions]The SVM hierarchical prediction model based on the feature parameters filtered by SPA had the better prediction effect, and the total accuracy of modeling set and prediction set were 97.8% and 95.0% respectively. In addition, the software developed based on the aforementioned model could realize the detection of the external quality of freeze-dried strawberry. [ABSTRACT FROM AUTHOR]

In view of the lack of intelligent tools for the quality assurance and rating of power equipment defect text， the paper proposes a quality assurance and rating software program for power equipment defect text based on standards and historical defects. Firstly， it analyzes the software requirements and determines that the software needs to analyze text quality and automatically rate the defects. Then， according to the characteristics of the two bases， two application processes are designed. Then， the detailed program design process of key functional modules is introduced. The standard-based text quality analysis and automatic defect rating adopt standard tree matching methods. The text quality analysis and automatic defect rating based on history defects adopt graph retrieval methods based on knowledge graph （KG）. Finally， the operation effect of the software is demonstrated by examples. The results show that the software realizes the intelligent quality control and automatic rating of the input defect text by interactive means， which renders powerful support for the closed-loop management of power equipment defects and the improvement of the intelligence level of operation and inspection.

Natural gas pipeline system simulation is the core technology for design plan demostration, transportation plan development, operation plan optimization, and emergency security decision-making of pipeline system. Hence, a simulation model applicable to the pipeline network systems in any structures was established based on the principles of conservation of mass, momentum and energy, as well as the characteristic equation of non-pipe elements. An algorithm for solving the simulation model of pipeline network system was formed based on the functional analysis of pipeline mathematical model and the fast LU decomposition under the large sparse matrix compression storage conditions. Besides, large-scale online simulation software for natural gas pipeline systems, comprising the modules of data communication, database storage, data filtering, online simulation and result pushing, was developed with the B/S software architecture, the big data caching technology and the real-time visualization technology for big data extraction. Then, the software was applied in a pipeline network system with a total length of 6 100 km and 45 compressor stations and a large pipeline network system with a total length of 31 000 km and 117 compressor stations. It is indicated that the applicable scale, calculation accuracy and speed of the software have reached the international level of similar commercial software.

The Dixon-Mood (D-M) method used in gear fatigue strength evaluation needed a certain amount samples of tests, and the results might contain deviations. Thus an effective estimation method (the CQUboot method) of gear fatigue strength was proposed based on the Monte-Carlo simulation. D-M method and CQUboot method were verified and compared by a large number of bending fatigue strength tests. Compared with the results of 20~22 samples recommended in GB/T 14230-2021 Test Method of Tooth Bending Strength for Gear Load Capacity, while the sample number reduces to 12, the maximum errors of the D-M method are as 15.76 %~24.99%, while that of the CQUboot method is as 8.02%~12.98%. With 12.66% as the maximum allowable error of fatigue strength estimation, the D-M method at least needs 10~18 samples, while the CQUboot method only needs 8 samples. [ABSTRACT FROM AUTHOR]

Copyright of Engineering Mechanics / Gongcheng Lixue is the property of Engineering Mechanics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the calculation framework of the response deformation method in the current codes, this article uses the secondary development interface of the universal finite element software ABAQUS to develop an efficient automatic calculation software ARCS (ABAQUS⁃Response deformation method of Cross⁃section System, abbreviated ARCS) for the shield tunnel cross⁃section response deformation method.The calculation software first calls the self⁃developed one⁃dimensional seismic response equivalently linear analysis program to calculate the nonlinear seismic response of the site, and then constructs finite element model of the tunnel cross section, assigns the information such as the relative deformation of the site, the inertial force of the structure and the shear force between the structure and the surrounding soil to the model and submits it for calculation, and finally outputs the internal force diagram of the structure after completion. The whole process can be done automatically. Among them, to realize the integration of ARCS, this article presents solutions for the implementation of mixed programming in Python and Fortran in the ABAQUS environment, automatic definition of nonlinear springs in ABAQUS, and direct output of internal force diagrams of tunnel structures by ABAQUS.This article takes a typical subway shield tunnel as an example to verify the performance of the software, and the results show that the calculation software can correctly and efficienctly solve the problem through the response deformation method.This article is not only conducive to the widespread promotion of the response deformation method in practice, but also has reference value for the application of ABAQUS secondary development. [ABSTRACT FROM AUTHOR]

Copyright of Lubrication Engineering (0254-0150) is the property of Editorial Office of LUBRICATION ENGINEERING and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In terms of the requirements for simulating multi-phase transportation system, different topological structures and transportation technology of gathering and transportation pipeline networks in the intelligent construction of digital oilfields, a general data structure of pipeline network, capable of expressing the complex connection relationship, was designed on the base of the graph theory method and the target of pipeline network. A universal non-linear equation set of pipeline network was established by coupling the hydro-thermal mathematical model of a flow unit and the equilibrium relationship of nodes, and a solution method with high robustness was proposed. Computing software was developed for the independent use in the scenarios of design, operation and optimization of the gathering and transportation technologies of an oilfield or the integrated application in an integrated management system. By comparing the calculation results of commercial softwares, the adaptability and accuracy of the software were verified, and meanwhile, its application prospects were discussed from the aspect of engineering practice.

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Two-dimensional (2D) NMR logging activation sets are acquisition means aiming at obtaining specific formation information, affecting the adaptability of NMR instruments to different types of reservoirs and the reliability of the original data. In this work, a software with the visualization function for designing 2D NMR logging activation sets was developed using the C# language, based on the component elements and working mechanism of activation. The software supported the design of activation sets for 2D NMR logging and NMR core analyzer. Meanwhile, the software provided three kinds of parameter editing methods, observation mode optimization and graphical display functions, and thus realized flexible adjustment of the activation sets. It solved the problems in the former mainstream 2D NMR logging activation sets, such as low signal-to-noise ratio of the raw data, incomplete loading of fluid relaxation characteristics due to inadequately fixed acquisition parameters and inflexible adjustment etc. In addition, the software also provided outputs for acquisition parameters and acquisition timing.

Variable rate irrigation (VRI) technologies could dispatch the specified amount of water to specific locations in the irrigated area, which makes it possible for farmers to address the temporal and spatial variability of the soil and plants within a field. Management zone is an essential part for VRI. It is expected that variable rate application based on scientific management zones would help famers saving water and optimizing yield. Selecting an index that could quickly and accurately characterize soil spatial variability is the key of management zone delineation. In this study, three test fields were used for apparent soil electrical conductivity (ECa) survey in Tongzhou district, Beijing, and Zhuozhou, Hebei Province. The data of ECa in two soil layer depths including 0 to 30 cm (ECash) and 0 to 90 cm (ECadp) was measured by Veris EC 3100 system. In this study, a total of 4 748 and 5 154 data of ECa were obtained before and after tillage in No.1 test field. A total of 3 717 and 5 844 data of ECa were obtained in No. 2 and No.3 test field, respectively. Analyzing by inverse distance weight interpolation and Jenks classification, the ECa maps of three test fields were drawn. Spatial distribution characteristics of ECa were analyzed. The composition of soil texture particles was tested. The average ECa of three test fields mainly varied from 13.20 to 29.25, 2.34 to 5.79, 2.69 to 6.86 mS/m, with the Coefficient of Variations (CVs) of 25.60%, 67.64% and 64.20% for No.1, No.2 and No. 3 test field, respectively. Compared with ECadp, the spatial distribution of ECash changed obviously after tillage in No.1 test field. The ECa value was linearly negatively correlated with the sand content, and linearly positively correlated with silt and clay content. Compared to ECash, ECadp showed stronger linear relationships with soil particle composition, with correlation coefficient of 0.83, 0.90 and 0.86 for sand, silt and clay content, respectively. The ECadp value could indirectly represent the soil texture distribution of field. Furthermore, the high-precision spatial distribution map of ECa could be obtained quickly by Veris EC 3100 system. Therefore, ECadp and its spatial distribution could be used for delineating VRI management zones, especially in the large scale field. No management zone was created in No.1 test field due to relatively low CVs and scattered spatial distribution of ECadp. In contrast, No.2 and No. 3 test fields had relatively high CVs and concentrated spatial distribution of ECadp, which illustrated that No.2 and No. 3 test fields had great potential in developing variable irrigation management. Taking into account the CVs, spatial distribution characteristics of ECadp and VRI control ability of the irrigation system, three management zones were delineated in No.2 and No. 3 test fields. Moreover, software with Java language was developed, which could realize automatically delineation of irrigation management zones after uploading ECa data. The software included interpolation calculation module, management zone division module and variable irrigation control module. The software was validated with the data of the No. 3 test fields. The ranges of each grade, interpolation and spatial distribution of ECa calculated by the software were essentially the same with the analysis result of ArcGIS software. The software not only simplified the calculation process, but also realized the real-time management of variable management zone, which was use-friendly to famers. This study provided a fast, reliable and simple method for the delineation of VRI management zones [ABSTRACT FROM AUTHOR]

In order to improve the research on the mathematical model of sediment-laden river, firstly, according to the difference of Bingham shear stress in the rheological equation, the hyper-concentration flow and lower-concentration flow were distinguished and the necessity of using the coupling solution of flow field and sand field for the hyper-concentration flood was demonstrated. Secondly, according to the comparison and analysis of several sand-carrying force formulas and measured results, the results showed that Dou Guoren’s formula could be suitable for both hyper-concentration flow and lower-concentration flow at the same time and the nesting of the formula in the mathematical model calculation was realized. On this basis, the software of water and sediment mathematical model was developed and the calculated results were presented to users intuitively through scheme management and dynamic demonstration, which was convenient for non-sediment professionals. Finally, taking the actual occurred flood in the channel of the Yellow River near Huayuankou on August 1996 as an example, it calculated the flow field and tested the applicability of the software. [ABSTRACT FROM AUTHOR]

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To simulate the regional wheat productivity can be an essential way to evaluate the impacts of climate change on food security. Generally, a crop growth model is available to the wheat productivity prediction at the regional and national scales for decision-making. However, a convenient and fast software system is necessary to improve the ability of the crop growth model, thereby to efficiently calculate regional wheat productivity. In this research, a simulation platform was designed to implement a gridded wheat growth model (Gridded WheatGrow) for regional wheat forecast, combining with the observed weather data. The Gridded WheatGrow model is derived from the WheatGrow model that invented by Nanjing Agricultural University, particularly for a process-based wheat growth simulation. The Gridded WheatGrow model can be used to integrate the gridded data and the simulation model within a geographical information system (GIS). The modified model can facilitate the acquisition of the input data, such as the daily meteorological data and soil data with a high spatial resolution, for the season forecasts, wheat productivity simulation, and other application of most previous open grid databases. The Gridded WheatGrow model can be a core component of a GIS. This is because the simulation system, not just an independent software, was designed based on the close integration of GIS and crop model. Furthermore, this design can simplify the data preparation, further to make it friendly to a non-professional user. A parallel computing method was adopted with the strategy of grid data partition based on Message Passing Interface (MPI), in order to solve the time-consuming and inconvenient problems caused from the modeling and calculation of grid data in the application of the regional productivity simulation. As such, the grid data can be dynamically segmented into a certain number of blocks, according to the number of the CPU cores in a computer and the size of the original grid data. Therefore, the computation of regional productivity simulation can efficiently utilize the full capacity of CPU in the computer, while reduce the consumption of stored physical memory. In the case of high efficiency, a normal personal computer can also be used to develop a gridded simulation system of wheat productivity. The proposed system was implemented based on the component geographic information system in development mode using the Microsoft® platform, together with net developer platform, C# and Python programming language. The Gridded WheatGrow model was also served as a specific geoprocessing tool for ESRI® ArcGIS. In ArcMap© module of the system, the customized code can be used to simulate the regional wheat productivity on the specific purpose. The proposed system was verified by the field data collected from the winter wheat area in China, and the root mean square error (RSME) and normalized root mean square error (NRSME) are1 070 kg/hm2and less than20%, respectively, showing an excellent performance. The typical system can be used to simulate the regional wheat productivity with a friendly user interface, while to reduce time and consumption of physical memory. Combining with the fundamental functions of GIS, the simulated data can be easily visualized and mapping for the later public use. All these features of the proposed system can prove that the Gridded WheatGrow simulation platform is an useful and reliable software on regional wheat productivity forecasts, and thereby it can be expected to evaluate the impacts of climate change on food security and decision making in modern agriculture. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Geological Hazard & Control is the property of China Institute of Geological Environmental Monitoring (CIGEM) Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Petroleum Machinery is the property of China Petroleum Machinery Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Experimental modal analysis is an indispensable part of the structural dynamics course. The traditional modal testing system is expensive. It is not convenient for students to start their experiment simultaneously. In this paper, a modal testing system is developed in Matlab environment by using NI dynamic analyzer. The instrument operation method, data acquisition and data management in software development are introduced. The test system can complete data acquisition, frequency response function estimation, parameter identification, mode shape animation. Experiments show that the test system has stronger operability, can be used for experimental teaching, and also for scientific research, and has strong application value. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Due to the continuous development of software technology in our country, software teaching has been applied to English teaching in college. And how to exert a positive influence on the innovation of college English teaching methods has become a key problem in the current English teaching reform. This paper analyzes the problems of developing English visual, listening and speaking integrated software in the teaching of language LABS in colleges and universities, and summarizes the methods to effectively develop English visual, listening and speaking integrated software. Then the software is developed based on analyzing the demand and combining with the teaching environment of language LABS. It is proved that this way is feasible to develop and apply English visual, listening and speaking integrated software in language laboratory teaching in colleges and universities. [ABSTRACT FROM AUTHOR]

This desalination device was first used in China's offshore ports, the process is filtration and secondary reverse osmosis membrane. We described the main structure and working principle of seawater desalination system, and discussed the design of electric and control system in detail. The process design and material selection adapt to the local environment. The project has proved that scheme is feasible, and has achieved good results, which can provide reference for similar projects. [ABSTRACT FROM AUTHOR]

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The popularity of mobile devices has accelerated the development of many industries, and Android mobile software is emerging. So Android software development plays an important role in development of mobile phone software.Differing from the traditional APP development mode, this paper designs an Android experiment system based on modularized, and uses it as the core experiment content of the 4 G test network which was equipped in the laboratory to train students’ mobile phone software developing ability. The core of the design is to construct an UI environment to realize the blockade of mobile phone communication, and then an addition is achieved by increasing the single function of APP in all of the software modules. This model can improve the legal management of special mobile phone software, and make program easier. Finally, we design an emergency command and dispatch software to test this system. The test result shows that the system is effective and achieves the design goal. [ABSTRACT FROM AUTHOR]