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531 results on '"Li, Hongrui"'

28. Modelling of SFR for Wind-Thermal Power Systems via Improved RBF Neural Networks

Author

Zhang, Jianhua, Li, Hongrui, Hu, Bo, Min, Yong, Chen, Qun, Hou, Guolian, Huang, Congzhi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, and Fu, Yongling, editor

Published
2021
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35. Predictive modeling of compressive strength of geopolymer concrete before and after high temperature applying machine learning algorithms.

Author

Yang, Haifeng, Li, Hongrui, and Jiang, Jiasheng

Subjects
*MACHINE learning, *ARTIFICIAL neural networks, *COMPRESSIVE strength, *FLY ash, *HIGH temperatures, *POLYMER-impregnated concrete
Abstract

Geopolymer concrete (GPC) is regarded as a more environmentally friendly construction material compared to conventional cement concrete, and its exceptional environmental capabilities are highly favored by the contemporary construction sector. Studying the mechanical properties of GPC upon exposure to elevated temperatures is a crucial aspect of evaluating structural damage and enhancing fire safety measures. Nevertheless, properly predicting the compressive performance of GPC upon exposure to high temperatures remains a formidable task. This study employs various machine learning techniques, such as single models, integrated models, neural network models, and hybrid models, to predict the compressive strength of GPC from room temperature to 1000°C. The results of each model are summarized, and the significant factors influencing compressive strength are analyzed to evaluate the thermal behavior of GPC. These findings offer recommendations for future in‐depth machine learning applications in the GPC field. The K‐fold cross‐validation shows that the hybrid model genetic algorithm–random forest has the highest prediction accuracy, while the single model performs the worst. Other models also provide favorable prediction results. The feature importance analysis revealed that the compressive strength of GPC is primarily influenced by heating temperature (HT) and hydroxide ion concentration, with fly ash and ground granulated blast furnace slag content being secondary factors. The partial dependence plot‐2D analysis indicates that as HTs increase, the influence of other variables on GPC compressive strength decreases significantly. These findings can inform the design of GPC mixing ratios for high‐temperature exposure. The machine learning technique proposed in this study accurately predicts GPC compressive strength across various temperatures, reducing experimental time and costs while promoting the GPC sector. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Research on Management Procedure of Material Selection and Substituting for Aircraft Parts

Author

LI Hongrui and CHONG Yu

Subjects
aircraft, parts, material management procedure, material selection, material substituting, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

The material selection and substituting can effectively improve the ability of material application technology and management in aircraft parts designing,and ensure the rapid development for new aircraft design. By analyzing the current state of material application in aircraft parts designing,the application problems in designing are pointed out in this paper,and the concerned key technical and working procedure that ought to be followed by using the material selection and substituting are put forward. A technical management procedure about material selection and substituting applied to the aircraft parts designing is concluded. The examples of material selection for sealing materials of a certain military aircraft structure and the material substitution for conductive gasket in the electrical system are used to verify the effectiveness of this procedure. The results show that the material selection and substituting management procedure has achieved the expected effect,and can ensure the orderly operation in production field conditions,and provides the relevant reference for related enterprises in the aviation field and others.

Published
2021
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41. Filter-Based Fault Diagnosis of Heat Exchangers

Author

Zhang, Jianhua, Li, Hongrui, Fan, Penghao, Hou, Guolian, Ren, Mifeng, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fei, Minrui, editor, Li, Kang, editor, Yang, Zhile, editor, Niu, Qun, editor, and Li, Xin, editor

Published
2020
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