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This article, according to engineering geological exploration and mapping data of landslides, describes the characteristics of the typical landslide in eastern Menyuan Basin, including the main landslide body, the surface of rupture and the base of the landslide. And then, through applying GEO-SLOPE finite element software, the evolvement process is analyzed by simulating the formation of dynamics mechanism.

This paper proposes a new idea about damping of suspended floor in huge frame constructions. By using mode-superposition response spectrum method, the inner force and displacement in theory was obtained. Suspended floor system has economical, theoretical, social and humanistic benefits, but is not mature technically. Thus in the end, the paper proposes subsequent researching directions about damping of suspended floor system based on the basic assumption in the program.

This paper proposes a new idea about damping of suspended floor in huge frame constructions. Experimental program and physical models were made, and then a lot of vibration tests by controlling acceleration and amplitude were taken respectively. The result shows that suspended floor has damping effect in a certain area and the damping degree is related to acceleration and amplitude. It also illustrates that changing frequency has more remarkable effect than changing amplitude.

Creep landslide tunnel deformation is a diversity,changeability, less information, complicated nonlinear problem, it’s unable to establish accurate mathematical model.A creep landslide tunnel deformation prediction model based on SVM was constructed in this paper to enhance prediction accuracy, and penalty parameter c and Kernel function parameter g of SVM were optimized by genetic algorithms (GA).nine closely related factors in creep landslide tunnel deformation were selected as Input vector of SVM , creep landslide tunnel deformation measured value as a model target output. In Matlab 2011b simulation software,80 groups observation data from 2012 to 2013 of Laoyeling tunnel in Changchun to Hunchun highway of Jilin province as the sample data, 70 groups were used as training set, other 10 groups were used as testing set. The simulation result shows that testing value is very close to the true value in this method, the average relative error close to 2%. Effectiveness of the creep landslide tunnel deformation prediction based on GA_SVM model is verified by experiments.

In this paper, a predicting model of silicon content in blast furnace hot metal is built based on artificial neural network and genetic algorithm, which optimizes the initialization weight values of neural network with genetic algorithm. This model can effectively improve the prediction accuracy and reduce the calculating time. Online application shows that the predicting model can effectively predict the silicon content in blast furnace hot metal and play an important role in production. when required absolute error was within ±0.03, the accuracy of model can reach 81.4%, and when absolute error was within ±0.04, the accuracy can reach 91.4%.

Cloing and hypermutation of immune theory were used in optimization on particle swarm optimization (PSO), an immune particle swarm optimization (IPSO) algorithm was proposed , which overcome the problem of premature convergence on PSO. IPSO was used in BP Neural Network training to overcome slow convergence speed and easily getting into local dinky value of gradient descent algorithm. BP Neural Network trained by IPSO was used to fault diagnosis of power transformer, it has high accuracy after experimental verification and to meet the power transformer diagnosis engineering requirements.

This paper proposes a new intelligent video surveillance system based on Android phone. By using Android phone, this system can be deployed easily and quickly. Compare with the traditional surveillance system, this new one uses Android phone to replace the large and expensive surveillance cameras. In addition, the functions of back-end equipment of the traditional system have been moved to the front-end equipment. With a modified invasion detection algorithm, the front-end equipment becomes more intelligent. This schema can significantly increase the mobility and flexibility of the entire system. Therefore this system will have a better performance dealing with emergencies in different surveillance scenarios. Moreover, this state-of-art intelligent video surveillance system not only brings a new method for surveillance, but also advances the development of surveillance techniques.

This paper shows the result of the research on the stability of loess high slopes with 30m and 80m in Huangshui River basin. The investigations carried out the numerical simulations of the slope stability based on the drilling and sequence sampling test in a typical loess stratum of the survey region. The result shows that the mechanisms of fracture related to the gradients of slopes are different and the limit equilibrium angles of slopes are 60° and 37° respectively.

The study the effect of unary or binary mulching micro-catchment models including plastic film-mulching ridge and ditch plantation (T1), plastic film-mulching ridge and ditch film-mulching plantation (T2) and plastic film-mulching ridge and ditch straw mulching plantation (T3) on was carried out in allusion to the critical issue of the severe lack of water resource in the western Liaoning province of China, in comparison with traditional cropping patterns. The water-holding effect of T2 under the condition of this experiment is the best, followed by T3 and T1. During corn growth stage, through respective comparison, the water is less consumed by 49.87 mm, 43.06 mm and 29.39 mm. In the meantime, the micro-catchment could reduce the water requirement of the crop. Through respective comparison, T2, T3 and T1 reduce water requirement by 81.66 mm, 69.20 mm and 48.45 mm during the growth stage. The average crop coefficient the growth stage is respectively reduced by 0.12,0.16 and 0.09 compared to that under the traditional model. The corn yield and water use efficiency (WUE) is increased to a different extent through various catchment plantation cultivation models and traditional plantation model. Especially, it is increased substantially by T3 and T2.

Modulus of elasticity is an important input parameter in all kinds of structural analyses. The mathematical model used to identify the structural elastic modulus with measured Frequencies and mode shapes at several points is thusly built up in this paper, and then Gradient-Regularization method, an inverse problem solution method, is employed to solve the problem. General finite element program is compiled, and numerical examples have proved that the method of this thesis is efficient. The issues such as the choice of model error and the choice of measuring points are discussed as well.

The study on the effects of three unary and binary micro-catchment mulching methods including film mulching ridge and ditch plantation, film-mulching ridge and ditch film-mulching plantation and film-mulching ridge and ditch film-mulching straw plantation on growth of corn and different precipitation years was conducted in allusion to the low and unstable yield of corn in the western Liaoning province of China and in comparison with the traditional plantation model. Under the condition of this experiment, through film-mulching ridge and ditch film-mulching plantation and film-mulching ridge and ditch plantation, the time for seedling emergence of corn was shortened and the emergence rate of corn was increased. Through film-mulching ridge and ditch film-mulching straw plantation, the time for seedling emergence of corn was prolonged and the emergence rate of corn was increased in median water or dry years, but the emergence rate of corn was reduced in the high flow year. By contrast to traditional plantation model, film-mulching ridge and ditch film-mulching plantation and film-mulching ridge and ditch plantation boosted the increase in plant height and leaf area of corn and promoted dry matter accumulation in the early period of growth while the growth was slow, the plant height, leaf area and dry matter accumulation was always at he minimum value through film-mulching ridge and ditch straw mulching plantation in the early period of growth, but the growth rate was expedited in the late period during growth. Through film-mulching ridge and ditch straw mulching plantation, due to many reasons such as the growth process ahead of schedule and high temperature, the signs of precocity or premature senility come into being and leaf area and chlorophyll content decreases swiftly; through film-mulching ridge and ditch straw mulching plantation, the descent velocity of leaf area and chlorophyll content were reduced and the leaf senescence was postponed. In different precipitation years, the increases in water use efficiency of micro-catchment plantation were different, smaller in high flow year while larger in dry or median water year.

Elastic modulus is an important parameter in structural analysis. This paper identifys the structural elastic modulus with measured displacements, which is an inverse problem. The improved genetic algorithm combined with multi-cases measurement is applied in the solution. Numerical examples have proved that the method is available.

The principle, ideas, procedures and optimization problems of the filtering algorithm were presented in the article. First, the filtering algorithm procedures of aerial image based on stochastic resonance theory was introduced, then the curve of noise strength and peak signal to noise ratio (PSNR) was analyzed, a golden-section fast search algorithm was proposed and discussed as well to find out the maximum point of PSNR in the process of filtering. Experimental results indicate that the filtering method in this article is superior to other methods on high noise strength aerial image, and the stability and robustness are better than other methods . The multiples of filtering image’s PSNR is 1.2~1.4 times than other methods.

The injection molding process with different wall thickness may create the obvious cavitation flaw. So carried on the kinetic simulation of filling injection using plastic advisor with Pro/E software, and discussed the melt flows in the mould. Research the cavitation defect of the jubilance toy's part with different wall thickness, and forecast reasonably position and quantity of the cavitation, and through the change of formation technological parameter, obtained the relatively good formation technological combination, achieved the reduced flaw quantity. Which provided the theory basis to study and removes the product flaw, provided reference for the discussion injection CAE, indicated it had great singlenificance for the visualization experimental study.

This paper presents a probabilistic seismic risk assessment methodology developed for Highway Bridge including models for transportation network analysis, hazard estimation, and seismic performance of highway components and evaluation of the economic impact to serve as a tool in the decision process for earthquake disaster management including pre-earthquake and post earthquake actions. This study is focused on the development of a procedure for seismic risk assessment, based on a probabilistic seismic hazard analysis.

Obtains the best deep product for the choice suitable blank dimensions, process structure and profile of the oil tank part has been analyzed, and has carried on numerical simulation target-oriented of the box bulkhead by the MSC.SuperForm software. Has studied the influence on blank with different radius of curvature and length to equivalent strain and drawing strength of 304 stainless steels, the optimization obtained the best size, voided flaw arousing because of blank size

Analytical models of the actual structure often differ greatly from their as-built counterparts. Model updating techniques improve the predictions of the behavior of the actual structure by identifying and correcting the uncertain parameters of the analytical model. This paper presents a new model updating technique to improve the finite element analysis model by updating design parameters using strain measurement based on affine scaling interior Algorithm. Static strain measurements are more reliable and realistic than acceleration data in practice. Numerical examples are presented to study the application of the method.

The bridges are of much importance to the transportation network system, as they connect key highways at crucial nodes. This paper reviews and discussed risk-based methodologies to assess the risk acceptability and cost-effectiveness of protective measures for bridge under multiple manmade or natural hazards. Three risk acceptance criteria based on fatality risks, failure probabilities and net benefit assessment were described and discussed. The decision support framework accompanying these risk acceptance criteria considers hazard probabilities, value of human life, physical and indirect damages, risk reduction and protective measure costs were studied and an illustrative example was presented.

Samples of mineral-like materials based perovskite and model high-level wastes (strontium) were fabricated by the SHS-densification and tested. The results of MCC-1, XRD and SEM/EDS analysis show that the major phase is well concordant with the design. The samples were characterized by dense structure and fine chemical stability. It is a durable material with high-level waste loading and is in favor for final geological disposal.

A novel copolymer of poly(acrylamide-co-acrylamido azobenzene) consisting of acrylamide (AAm) and acrylamido azobenzene (AAAB) was synthesized via a free-radical polymerization route by using 2,2’-azobisisobutyronitrile (AIBN) as initiator. The investigation of UV spectra of the copolymer aqueous solution that exposed to UV irradiation revealed that p(AAm-co-AAAB) possessed good UV photoresponsive properties. The photoresponsibility was proposed to stem from reversible transformation between cis and trans isomers of azobenzene groups in the side chains. The concentration and molar ratio of copolymer have some influence on the photoresponsive behaviors.