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Crosswind Stability Evaluation of High-Speed Train Using Different Wind Models 被引量:8
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作者 Mengge Yu rongchao jiang +1 位作者 Qian Zhang Jiye Zhang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2019年第3期168-180,共13页
Different wind models are being used for the operational safety evaluation of a high-speed train exposed to crosswinds. However, the methodology for simulating natural wind is of substantial importance in the wind-tra... Different wind models are being used for the operational safety evaluation of a high-speed train exposed to crosswinds. However, the methodology for simulating natural wind is of substantial importance in the wind-train system, and different simplified forms of natural wind result in different levels of accuracy. The purpose of the research in this paper is to investigate the effects of different wind models on the operational safety evaluation of high-speed trains. First, three wind models, namely, steady wind model, gust wind model, and turbulent wind model, are constructed. Following this, the algorithms for computing the aerodynamic loads using the wind models are described. A multi-body dynamic model of a vehicle is then set up using the commercial software "Simpack" for investigating the dynamic behavior of a railway vehicle exposed to wind loads. The rollover risks corresponding to each wind model are evaluated by applying the definition of characteristic wind curves (CWC). The results indicate that the CWC computed using the gust wind model is marginally higher than that computed using the turbulent wind model;the difference is less than 1%. With regard to the steady wind model, the assurance coefficient substantially affects the final CWC. A reasonable agreement of CWC between the steady wind model and turbulent wind model can be obtained by applying an "appropriate value" of the assurance coefficient. This study included a systematic analysis of the operational safety evaluation results using different wind models;the analysis can serve as a reference basis for different engineering accuracy requirements. 展开更多
关键词 CROSSWIND RAILWAY vehicle WIND model ROLLOVER RISKS Characteristic WIND CURVES
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大数据和人工智能技术在工程管理的应用研究——重庆渝高集团工程数智化实践 被引量:2
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作者 蒋荣超 韩华银 徐凰耀 《大数据时代》 2020年第7期32-37,共6页
信息化时代,大数据和人工智能技术正在日渐融入人们的生活,各行业都投入了大量精力与财力,以推动行业的高质量发展。本文以渝高集团工程数智化为例,分析大数据人工智能技术在工程管理中的实践应用,以期为建筑科技技术发展水平的提高提... 信息化时代,大数据和人工智能技术正在日渐融入人们的生活,各行业都投入了大量精力与财力,以推动行业的高质量发展。本文以渝高集团工程数智化为例,分析大数据人工智能技术在工程管理中的实践应用,以期为建筑科技技术发展水平的提高提供借鉴。 展开更多
关键词 大数据 人工智能 工程数智化 实践应用
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