【摘要】：本文致力于大型索支承結(jié)構(gòu)的結(jié)構(gòu)健康監(jiān)測問題,以蘇拉馬都大橋?yàn)楸尘敖⒂邢拊Ｐ?以下簡稱為S橋),基于線性關(guān)系假說,合理選取應(yīng)變監(jiān)測量,剔除不同形式載荷的不利影響,實(shí)現(xiàn)對受損索健康狀態(tài)的準(zhǔn)確識別。本文主要研究工作可概述如下：(1)以S橋?yàn)檠芯繉ο?對原有模型重新進(jìn)行單元劃分建立新的有限元模型,以滿足不同形式載荷的加載條件。并針對不同載荷形式,選取若干種荷載工況,考慮其對結(jié)構(gòu)健康狀態(tài)識別的影響。(2)基于線性關(guān)系假說和多目標(biāo)優(yōu)化算法,研究了如何利用盡可能少的橋梁應(yīng)變監(jiān)測數(shù)據(jù),實(shí)現(xiàn)了對受損索在不同損傷數(shù)目和不同損傷程度下的準(zhǔn)確識別。同時能夠剔除集中載荷變化對受損索健康狀態(tài)識別的不利影響。(3)基于線性關(guān)系假說和多目標(biāo)優(yōu)化算法,研究了如何利用盡可能少的橋梁應(yīng)變監(jiān)測數(shù)據(jù),實(shí)現(xiàn)了對受損索在不同損傷數(shù)目和不同損傷程度下的準(zhǔn)確識別。同時能夠剔除分布載荷變化對受損索健康狀態(tài)識別的不利影響。(4)研究了不同載荷形式的組合工況對受損索識別的不利影響,對識別結(jié)果加以對比分析,通過試算選取合理的監(jiān)測量以求弱化其不利影響,以實(shí)現(xiàn)對結(jié)構(gòu)健康狀態(tài)的準(zhǔn)確識別。
[Abstract]:This paper is devoted to the problem of structural health monitoring of large cable-supported structures. Taking Sulamadu Bridge as the background, a finite element model (hereinafter referred to as "S Bridge") is established. Based on the hypothesis of linear relationship, the strain monitoring quantity is reasonably selected. Eliminate the adverse effects of different forms of load, and realize the accurate identification of the damaged cable health state. The main research work of this paper can be summarized as follows: (1) taking S bridge as the research object, a new finite element model is established by redividing the original model to meet the loading conditions of different forms of load. According to different load forms, several load conditions are selected, and their influence on structural health state identification is considered. (2) based on linear relation hypothesis and multi-objective optimization algorithm, how to use as few bridge strain monitoring data as possible is studied. The accurate identification of damaged cable under different damage number and different damage degree is realized. At the same time, it can eliminate the adverse effect of the change of concentrated load on the health status of damaged cable. (3) based on the hypothesis of linear relationship and the multi-objective optimization algorithm, the paper studies how to use as few bridge strain monitoring data as possible. The accurate identification of damaged cable under different damage number and different damage degree is realized. At the same time, it can eliminate the adverse effect of the change of distributed load on the identification of damaged cable health. (4) the adverse effects of different load forms on the identification of damaged cable are studied, and the identification results are compared and analyzed. Reasonable monitoring quantity is selected by trial calculation in order to weaken its adverse effect and realize the accurate identification of the health state of the structure.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U446

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