基于CPU并行计算的概率地震需求#br#分析与地震易损性分析

概率地震需求分析体现了不确定性从地震动强度参数到工程需求参数的传递过程，文中介绍并对比概率地震需求分析中云图法、单条带法与多条带法的优缺点。以MATLAB+OpenSEES实时交互方式，提出基于CPU并行计算架构的概率地震需求分析方法，显著提高分析效率。提出并行-云图法、并行-单条带法与并行 多条带法，通过RC框剪结构的概率地震需求分析，开展不同层高RC框剪结构的地震易损性分析。研究表明：云图法的对数标准差普遍大于单条带法与多条带法，过高地估计了结构的抗震性能，而单条带法与多条带法在易损性中位值与对数标准差确定方法上存在差异，单条带法的对数标准差普遍低于多条带法。

Probabilistic seismic demand analysis and seismic fragility#br#analysis based on CPU parallel computing

Probabilistic seismic demand analysis reflects the transfer process of uncertainty from ground motion intensity measures (IMs) to engineering demand parameters (EDPs). Different probabilistic seismic demand analysis methods are compared in this paper, including cloud method, single strip method and multiple strips method. Based on the real-time interaction of MATLAB and OpenSEES, a probabilistic seismic demand analysis framework based on CPU parallel computing is proposed, which significantly improves the analysis efficiency. Combined with CPU parallel computing, the parallel-cloud method, parallel-single strip method and parallel-multiple strips methods are proposed. Through probabilistic seismic demand analysis of RC frame-shear wall structures, the seismic fragility analysis of RC frame-shear structures with different floors is carried out. The research shows that the logarithmic standard deviation of cloud method is generally greater than that of single strip method and multiple strips method. The seismic performance of the structure is overestimated. There are differences between the single strip method and the multiple strips method in determining the median value and the logarithmic standard deviation for the seismic fragility function. The logarithmic standard deviation of the single strip method is generally lower than that of the multiple strips method.