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作 者:郑史雄[1] 雷川鹤 贾宏宇[1] 杨健[2] 赵灿晖[1] ZHENG Shixiong;LEI Chuanhe;JIA Hongyu;YANG Jian;ZHAO Canhui(School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;Guizhou Transportation Planning Survey&Design Academe Co.,Ltd.,Guiyang 550081,China)
机构地区:[1]西南交通大学土木工程学院,四川成都610031 [2]贵州省交通规划勘察设计研究院股份有限公司,贵州贵阳550081
出 处:《地震工程与工程振动》2023年第4期1-13,共13页Earthquake Engineering and Engineering Dynamics
基 金:国家自然科学基金项目(52178169)。
摘 要:近年来,人工智能技术发展迅速,作为国家战略的新一轮科技革命和产业变革的核心技术,已经渗透到各行各业,推动了各行业的发展。与其他行业相比,桥梁等基础设施的智能化程度还较低,融合人工智能技术的发展成为必然趋势。桥梁作为重要的生命线工程,当地震灾害发生时,及时和准确地评估桥梁地震损害和调动相应的事后救援工作起着关键作用。人工智能技术能很好地捕捉变量之间的复杂非线性关系,快速准确地对未知数据进行识别与预测,相比于传统的无法同时兼顾准确性与效率分析的方法,人工智能技术有着巨大的优势。为了促进人工智能技术与桥梁抗震深度融合,基于国内外的研究现状,归纳总结了人工智能技术在地震动分析预测、桥梁地震响应预测和模式识别及快速评估方面的应用,梳理了当前人工智能模型存在的问题,并对未来的研究进行了展望,指出真实数据建立的数据库、基于物理的模型、可解释性以及同类型桥梁之间的泛化将是未来的发展方向,为未来的桥梁抗震设计、分析和评估提供帮助。In recent years,artificial intelligence technology has developed rapidly.As the core technology of a new round of scientific and technological revolution and industrial change in national strategy,it has penetrated into all walks of life and promoted the development of various sectors.Compared with other industries,the intelligent degree of infrastructure such as bridges is still low,and the development of integrated artificial intelligence technology has become an inevitable trend.As an important lifeline project,bridges play a key role in timely and accurate assessment of bridge seismic damage and mobilization of corresponding afterwards rescue work when earthquake disasters occur.Artificial intelligence technology can well capture the complex nonlinear between variables,quickly and accurately identify and predict unknown data.Compared with traditional analysis methods that fail to take into account both accuracy and efficiency,the artificial intelligence technology has great advantages.In order to promote the deep integration of artificial intelligence technology and bridge seismic resistance,based on the research status at home and abroad,the applications of artificial intelligence technology in ground motion analysis and prediction,bridge seismic response prediction,pattern recognition and rapid assessment is summarized.The problems existing in the current artificial intelligence model are combed,and the future research is prospected.It is pointed out that the database established by real data,the physical-based model,interpretability and the generalization between the same types of bridges will be the future developing trend,which will help the future seismic design,analysis and evaluation of bridges.
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