土木工程智能防灾减灾研究进展  

State-of-the-Arts in Artificial Intelligence for Disaster Prevention and Mitigation of Civil Engineering

作　　者：纪军[1] 李惠[2] Jun Ji;Hui Li(Department of Engineering and Material Sciences,National Natural Science Foundation of China,Beijing 100085;School of Civil Engineering,Harbin Institute of Technology,Harbin 150090)

机构地区：[1]国家自然科学基金委员会工程与材料科学部,北京100085 [2]哈尔滨工业大学土木工程学院,哈尔滨150090

出　　处：《中国科学基金》2023年第5期840-853,共14页Bulletin of National Natural Science Foundation of China

摘　　要：本文基于国家自然科学基金创新研究群体项目“城市工程结构抗灾韧性与智能防灾减灾”(编号:51921006)和重大研究计划集成项目“高雷诺数湍流数据库的构建及湍流机器学习集成研究”(编号:92152301)的研究,从土木工程防灾减灾学科背景和现状、灾害控制方程物理机器学习求解理论、智能风工程、智能地震工程和防灾减灾智能设计等方面介绍国内外土木工程智能防灾减灾理论体系的研究进展,并对其未来学术发展方向做了探讨和展望。Based on the Project of"Disaster resilience of urban engineering structures and intelligent disaster prevention and mitigation"under Science Fund for Creative Research Groups(Grant No:51921006)and Integrated Project of""Construction of database for high Reynolds Number turbulence and integrated research on machine learning-based turbulence"under Major Research Plan(Grant No:92152301),the state-of-the-arts in artificial intelligence(A1)for disaster prevention and mitigation of civil engineering(DPMCE)is reviewed,including the disciplinary logic based on mechanics and challenges issues of traditional DPMCE,machine learning paradigm for solving governing equations in DPMCE,AI for wind engineering,AI for earthquake engineering,and AI for design methods of DPMCE.The critical issues in this field are discussed and recognized.

关 键 词：土木工程智能防灾 机器学习 智能风工程 智能地震工程 

分 类 号：TU352[建筑科学—结构工程] TU761.1