基于长周期谱值特征的人工地震波初筛与预校正研究

动力计算过程巨大的求解工作量,使得工程人员倾向于采用总持时较短的人工地震波,然而如此在某些状况下容易出现人工波生成效率与精度低下的问题.从地震动过程主要控制参数与目标反应谱间的匹配关系着手,尤其关注强震段持时的影响,从数值原理上分析了传统人工波生成失败或者精度低的原因.提出了以长周期谱值能否达到要求的初筛准则,据此提出了以长周期谱值作为控制依据的快速预校正算法,给出了具体算法框图.最后以算例的形式,验证了本算法的有效性,结果显示该算法从源头上有效地提高了人工波拟合的成功率与精度.

Research on initial screening and pre-correcting artificial seismic waves based on long-period spectral values characteristics

Due to the huge computational workload of dynamic computation, engineering and technical personnel tend to apply artificial seismic wave with shorter total time duration, which easily leads to a low efficiency and accuracy of the numerical generation of artificial waves in some cases. To overcome this problem, the matching relationship is analyzed between the main control parameters of ground motion history and the target response spectrum, especially for the effects of ground motion duration on the response spectrum. The basic numerical reasons are analyzed for the failure or low accuracy of traditional artificial wave generation. Based on the above discussion, an initial screening criterion for the long-period spectral values is proposed, and a rapid pre-correcting algorithm using long-period spectral values as control standard is further brought out with detailed algorithm block diagram. Finally, the proposed algorithm is validated by numerical examples, which shows that it effectively improves the accuracy and success rates of the artificial wave fitting technique from the source.