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地震作用下矮塔斜拉桥的动力优化设计 被引量:7

DYNAMIC OPTIMIZATION DESIGN OF EXTRADOSED CABLE-STAYED BRIDGE UNDER EARTHQUAKE EXCITATION
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摘要 该文以一座矮塔斜拉桥——大连长山大桥为工程背景,对地震作用下结构的动力优化问题进行研究,通过优化改善桥梁结构的静动力特性,提高结构抗震性能,确保它们在动力环境下安全可靠的工作。在ANSYS中建立长山大桥空间有限元模型,然后采用响应面法以桥梁振型频率为优化目标,进行结构动力特性的优化设计;采用试验设计的优化方法以地震作用下结构的动力响应为优化目标,进行结构动力响应的优化设计;采用神经网络建立网络模型,快速有效的预测结构地震响应,为桥梁结构优化设计提供参考作用。研究表明:进行结构动力优化设计可以在保证桥梁结构整体性不变的前提下,充分发挥结构自身潜能,减小桥梁地震动力响应。 An extradosed cable-stayed bridge,Dalian Changshan bridge,is used as an engineering background to study the dynamic optimization of the structure under earthquake excitations.The purpose of the research is to improve the static and dynamic characteristics of this bridge structure,to improve structural seismic performance,and to ensure it can work safely and reliably in dynamic environment.Firstly,the spatial finite element model of Changshan bridge is established in ANSYS.Then the response surface method is employed to optimize the bridge vibration frequency,and the optimum design of structural dynamic characteristics is carried out.In addition,the optimization method of experimental design is choosing to optimize the dynamic response of the structure under earthquake excitations,and the optimal design of structural dynamic response is carried out.Finally,the neural network is used to establish a network model to predict the structural seismic response quickly and effectively,which provides a reference for the optimum design of the bridge structure.The research results show that:the structural dynamic optimization design can fully exert the potential of the structure and reduce the seismic dynamic response of the bridge under the premise of ensuring the integrity of the bridge structure.
作者 姜亚丽 杨刚 宋红红 JIANG Ya-li;YANG Gang;SONG Hong-hong(College of Transportation Engineering,Dalian Maritime University,Dalian,Liaoning 116026,China)
出处 《工程力学》 EI CSCD 北大核心 2020年第S01期313-319,共7页 Engineering Mechanics
基金 中央高校基本科研业务费专项资金项目(3132014326)。
关键词 动力优化设计 模型修正 动态时程分析 ANSYS 正交试验 神经网络 dynamic optimization design model modification dynamic time-history analysis ANSYS orthogonal test neural network
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