A Physics‐Based Simulation Approach for Urban‐Scale Earthquake Disaster From Fault to City: Theory, Verification, and Application

比例(比率) 地震学 断层(地质) 计算机科学 工程类 土木工程 地理 地质学 地图学
作者
Jisai Fu,Zhenning Ba,Jianwen Liang,Fangbo Wang
出处
期刊:Earthquake Engineering & Structural Dynamics [Wiley]
被引量:1
标识
DOI:10.1002/eqe.4278
摘要

ABSTRACT By employing the frequency‐wavenumber (FK) method to simulate the propagation of seismic wavefield in the crustal layer, using the spectral element method (SEM) to simulate the propagation of wavefield in the near‐surface soil, and using the multi‐degree‐of‐freedom (MDOF) model to simulate the seismic response of building clusters in city, this paper establishes the FK‐SE‐MDOF approach (a two‐step method) for urban earthquake disaster analysis of fault‐to‐city based on the concept of domain reduction. The approach can simultaneously consider factors such as earthquake source parameters, propagation paths, local site effects, site‐city interaction (SCI) effects, and the dynamic nonlinear responses of buildings (hereafter referred to as source‐to‐city factors) in a physics‐based model. Firstly, the theories of the approach were introduced, and the correctness of the approach was verified. Furthermore, the applicability and the necessity of considering source‐to‐city factors were examined using a building cluster on an ideal sedimentary basin under the action of a point dislocation source. Finally, the seismic response of buildings in a region was simulated using buildings in the Nankai District of Tianjin as examples. This approach avoids the influences caused by expert experience differences in empirical and hybrid methods, establishes a connection between fault rupture and buildings dynamic response, and can more realistically reflect the distribution of seismic wavefields, building seismic responses, and damage state distribution under the earthquake scenario. It can be applied to earthquake disaster simulation for urban buildings at the scale of tens of thousands of buildings, and the simulation results can provide quantitative guidance for urban planning, earthquake‐resistant design, risk assessment, post‐earthquake rescue, etc.
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