城市地震灾害数字孪生应用研究

IF 4.5 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Sihan Yu, Qiyun Lei, Chao Liu, Nan Zhang, Shuaishuai Shan, Xiaoming Zeng
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引用次数: 0

摘要

利用数字孪生技术构建的地震灾害城市数字孪生,可以在虚拟空间中反映地震灾害不同阶段的数据,保证两者的高度同步性和模拟性,有效提高应急救援人员的安全性和决策者的科学决策能力。斜向摄影测量与光探测和测距(LiDAR)数据相匹配,完成高精度三维实景模型。以更新速度快的二维框架数据生成的三维白色模型为模块,建立城市数字孪生模型。基于最短断层距离强度衰减模型,利用已知的活动断层和余震序列计算地震烈度,并验证了该方法的适用性。采用弹塑性时程分析方法计算建筑物的地震反应,并采用三维模型可视化震害等级。利用传感器实时监测地震灾害的动态变化,并采用数字孪生模型进行分析,为地震应急救援提供最优方案和准确的地震灾害评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application research on digital twins of urban earthquake disasters
The digital twin of an earthquake disaster city constructed using digital twin technology can reflect the data of different stages of the earthquake disaster in the virtual space and can ensure high synchronisation and simulation of the two to effectively improve the safety of emergency rescue personnel and the scientific decision-making ability of decision makers. Oblique photogrammetry matched the Light Detection and Ranging (LiDAR) data to complete a high-precision three-dimensional real-scene model. The urban digital twin model was established as a module with the three-dimensional white model generated by the two-dimensional frame data with a fast update speed. Based on the shortest-fault-distance intensity-attenuation model, the seismic intensity was calculated using a known active fault and aftershock sequence, and the applicability of this method was verified. The elastic-plastic time history analysis method was used to calculate the seismic response of the building, and the seismic damage level was visualised using a three-dimensional model. The dynamic changes of earthquake disasters are monitored by sensors in real time and analysed in a digital twin model to provide an optimal scheme for earthquake emergency rescue and accurate evaluation results of earthquake disasters.
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来源期刊
Geomatics Natural Hazards & Risk
Geomatics Natural Hazards & Risk GEOSCIENCES, MULTIDISCIPLINARY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
7.70
自引率
4.80%
发文量
117
审稿时长
>12 weeks
期刊介绍: The aim of Geomatics, Natural Hazards and Risk is to address new concepts, approaches and case studies using geospatial and remote sensing techniques to study monitoring, mapping, risk mitigation, risk vulnerability and early warning of natural hazards. Geomatics, Natural Hazards and Risk covers the following topics: - Remote sensing techniques - Natural hazards associated with land, ocean, atmosphere, land-ocean-atmosphere coupling and climate change - Emerging problems related to multi-hazard risk assessment, multi-vulnerability risk assessment, risk quantification and the economic aspects of hazards. - Results of findings on major natural hazards
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