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Improved seismic intensity measures and regional structural risk estimation models

脆弱性(计算) 地震学 地震情景 强度(物理) 地震风险 脆弱性评估 峰值地面加速度 弹性(材料科学) 城市地震危险性 估计 比例(比率) 地质学 地震灾害 环境科学 计算机科学 地理 心理弹性 工程类 地图学 物理 系统工程 量子力学 心理学 计算机安全 地震动 心理治疗师 热力学
作者
Si-Qi Li
出处
期刊:Soil Dynamics and Earthquake Engineering [Elsevier]
卷期号:176: 108256-108256 被引量:29
标识
DOI:10.1016/j.soildyn.2023.108256
摘要

Seismic intensity measures are essential quantitative parameters for evaluating and predicting engineering structures’ seismic risk and vulnerability. Various regional earthquake analysis and vulnerability models with evaluation and prediction capabilities have been developed using macroseismic and instrumental intensity measures. These results have significant positive implications for evaluating large-scale regional earthquake resilience and predicting earthquake risks. However, the traditional determination of seismic intensity measures is based on given seismic station detection data and macroscopic intensity standards, and the developed seismic risk models are relatively outdated, resulting in relatively low accuracy in assessing the vulnerability of regional structures. This paper proposed an improved instrumental intensity calculation equation and updated the model using 216,000 acceleration records monitored by nine typical seismic stations in China during the Jiuzhaigou earthquake on August 8, 2017. The proposed calculation model was combined with the latest version of China’s macrointensity standard, and undamaged building samples were sufficiently considered. The vulnerability level of 1,499 buildings surveyed in the Jiuzhaigou earthquake was assessed. This paper innovatively proposed a membership index calculation model to estimate the impact relationship between different vulnerability levels. A comparative curve model was generated with the updated vulnerability databases of four typical regional structures, considering different vulnerability membership indices. Using the improved seismic intensity measures and nonlinear regression model, an improved vulnerability fitting model was developed to assess the seismic risk of regional structures. The model was analysed and verified using field survey data from the Jiuzhaigou earthquake.
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