区域地震分析软件研究综述

doi:10.16265/j.cnki.issn1003-3033.2022.09.2808

摘要/Abstract

摘要：

为加强我国防灾、减灾、抗灾、救灾的能力,研究地震发生后全国地震烈度快速计算和信息速报技术,实现对工程结构的地震响应快速分析,为公共安全抢险救援提供重要依据。首先,介绍地震分析软件的现状和发展趋势,系统地梳理国内外的主要商业软件及开源软件;然后,详细介绍自主研发的区域地震数值模拟和灾损分析(EQSDA)平台,包括计算震源还原、地面地震响应分析、社区建筑地震响应分析、建筑结构局部破坏分析4大模块,分别说明各模块使用的理论原理和技术;最后,通过算例展示各模块功能。结果表明:利用先进的地震波数值模拟方法结合机器学习技术,开展地震与强地面运动的数值模拟研究,可以更精确地实现从震源分析到地震模拟计算、建筑结构破坏模拟的全链条分析。

关键词: 区域地震, 分析软件, 公共安全, 快速计算, 机器学习

Abstract:

In order to strengthen the capabilities of disaster prevention, mitigation, disaster resistance, and disaster relief, it is necessary to study the technology of rapid calculation of earthquake and rapid information reporting, and realize the rapid analysis of the earthquake response of the structure, which provides an important guarantee for public safety rescue. Firstly, seismic analysis software's current status and development trend were introduced, and the main commercial and open source software widely used in China and abroad were systematically sorted out. Then, the self-developed regional seismic dynamics numerical simulation platform EQSDA(Earthquake Simulation and Damage Analysis) and its four major modules were explained in detail, i.e., equivalent source restoration, ground seismic response analysis, community building seismic response analysis, and progressive damage analysis of building structures. The theory and techniques used in each module were illustrated, respectively. Functions of each module were demonstrated through calculation examples. The results show that the advanced seismic wave numerical simulation method combined with machine learning technology can be used to carry out the numerical simulation research of earthquakes and strong ground motion, so the full-chain analysis from the source analysis to the earthquake simulation calculation and the building structure failure simulation can be realized more accurately.

Key words: regional seismic, simulation software, public security, fast calculation, machine learning

陈永强, 吴志鹏, 杨湘娟, 陈璞, 孙树立. 区域地震分析软件研究综述[J]. 中国安全科学学报, 2022, 32(9): 126-136.

CHEN Yongqiang, WU Zhipeng, YANG Xiangjuan, CHEN Pu, SUN Shuli. Review on regional seismic analysis software[J]. China Safety Science Journal, 2022, 32(9): 126-136.

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