各种小波变换在结构动力分析中的作用

S. S. Naseralavi, S. Balaghi, E. Khojastehfar
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引用次数: 1

摘要

结构时程动力分析被认为是一种计算量大但精度高的方法。应用小波变换对地震强地震动进行滤波是一种减少计算量的方法,特别是在结构抗震优化方面。小波变换分为连续变换和离散变换。由于地震强地震动是一个离散函数,本文采用离散小波变换。小波变换通过滤除强地震动的非有效频率,减少了分析时间。滤波过程可能重复多次,而近似产生的误差较大。本文利用每个小波对强地震动进行一次滤波。利用各种小波对北岭地震的强地震动进行滤波,并对采样的剪力框架和矩框架进行动力分析。基于采样结构的动力响应与精确响应的比较,计算了每个小波的应用误差。通过对结构在非过滤强地震动作用下的动力分析,计算了结构的准确响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Various Wavelet Transforms in Dynamic Analysis of Structures
Time history dynamic analysis of structures is considered as an exact method while being computationally intensive. Filtration of earthquake strong ground motions applying wavelet transform is an approach towards reduction of computational efforts, particularly in optimization of structures against seismic effects. Wavelet transforms are categorized into continuum and discrete transforms. Since earthquake strong ground motion is a discrete function, the discrete wavelet transform is applied in the present paper. Wavelet transform reduces analysis time by filtration of non-effective frequencies of strong ground motion. Filtration process may be repeated several times while the approximation induces more errors. In this paper, strong ground motion of earthquake has been filtered once applying each wavelet. Strong ground motion of Northridge earthquake is filtered applying various wavelets and dynamic analysis of sampled shear and moment frames is implemented. The error, regarding application of each wavelet, is computed based on comparison of dynamic response of sampled structures with exact responses. Exact responses are computed by dynamic analysis of structures applying non-filtered strong ground motion.
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