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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 complicated artificial seismic wave response spectrum correction process and make the synthetic artificial seismic response spectrum converge well to the target spectrum, a quadratic correction factor is proposed based on the traditional artificial seismic wave response spectrum fitting technique, Order correction factor as the optimization factor, the spectral fitting optimization model is established with the objective of minimizing the standard error of the synthetic artificial seismic wave response spectrum and the target spectrum. And based on Matlab software programming, the application of particle swarm optimization algorithm (PSO algorithm) to analyze the model. The example analysis shows that the artificial seismic wave response spectrum fitting method based on the PSO algorithm is better than the traditional method of adjusting the Fourier amplitude spectrum in the frequency domain, The convergence accuracy is significantly improved.