基于粒子群优化算法的人工地震波反应谱拟合技术  

Fitting Technology of Response Spectrum for Artificial Earthquake Wave Based on PSO

作　　者：王雪妮[1] 周晶[1] 

机构地区：[1]大连理工大学建设工程学部水利工程学院,辽宁大连116024

出　　处：《水电能源科学》2013年第12期98-101,142,共5页Water Resources and Power

基　　金：国家重点基础研究发展计划(973)基金资助项目(2013CB035906);国家自然科学基金资助项目(90915009)

摘　　要：为避免出现复杂的人工地震波反应谱修正过程,且使合成的人工地震波反应谱较好地收敛于目标谱,提出在传统人工地震波反应谱拟合技术的基础上引入二次修正因子,并以二次修正因子作为优化因子,以合成的人工地震波反应谱与目标谱的标准误差最小为优化目标建立谱拟合优化模型。并基于Matlab软件编程,应用粒子群优化算法(PSO算法)对模型进行分析。算例分析表明,基于PSO算法的人工地震波反应谱拟合方法与传统的在频域内调整傅里叶幅值谱的方法相比,所生成的人工地震波反应谱与目标谱曲线整体吻合较好,收敛精度显著提高。In order to avoid the complex process of spectrum modification for artificial earthquake wave and get a sim- ulated earthquake wave whose response spectrum fitted well to the target spectrum, a second correction factor was intro- duced in this paper based on the conventional fitting technique of response spectrum for artificial earthquake wave. And then, a spectrum fitting optimization model was built by using the second correction factor as well as the standard error between the response spectrum of artificial earthquake wave and the target spectrum, as the optimization factor and mini- mal optimization objective, respectively. Based on the Matlab software, the model was analyzed by using particle swarm optimization （PSO）. Simulation results show that the response spectrum of synthesized artificial earthquake wave agrees better with the target response spectrum by using the fitting method of response spectrum for artificial earthquake wave based on PSO algorithm than the conventional method which adjusts Fourier amplitude spectrum in frequency domain, and the convergence precision has been improved significantly.

关 键 词：人工地震波 反应谱 幅值谱 粒子群优化算法 

分 类 号：P315[天文地球—地震学]