Stationary random responses of structures with stochastic parameters 多點控制體系隨機地震響應(yīng)分析的虛擬激勵法
It has been observed that even though stochastic parameter estimation techniques can help, the problems are not all due to the inefficiencies in the calibration techniques used but are caused by the manner in which the model is structurally formulated 通過觀察認為,盡管推測參數(shù)估計技術(shù)可以對此有所幫助,但是引起這個問題的卻并非完全是由于參數(shù)率定技術(shù)的效率低下,而是由于模型結(jié)構(gòu)方面的問題。
In regard to nonlinear stochastic optimization in which the restraint function was nonlinearly expressed with stochastic parameters, the advanced first-order second-moment method was employed to study the structural optimization numerical model based on component reliability or failure pattern reliability and the method to transform the problem of stochastic optimization to that of certain determinate optimization 摘要針對約束函數(shù)被隨機參數(shù)非線性表達的隨機非線性優(yōu)化問題,采用改進均值一次二階矩法,研究基于元件可靠度或各失效模式可靠度的結(jié)構(gòu)優(yōu)化的數(shù)學模型,以及將隨機優(yōu)化問題化為確定性優(yōu)化問題的方法。