本文選題：樹種算法 + 殘余力�。� 參考：《中山大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年04期

【摘要】：基于二步法對結(jié)構(gòu)進(jìn)行了損傷識別。首先,通過改進(jìn)殘余力向量定位方法對結(jié)構(gòu)單元進(jìn)行排查、找出疑似單元;然后基于頻域參數(shù)建立目標(biāo)函數(shù),并利用元啟發(fā)式樹種算法(Tree-seed algorithm)對于結(jié)構(gòu)損傷進(jìn)行反演。為了改善算法的優(yōu)化能力,引入了兩種局部搜索模式,并采用具有自適應(yīng)性的判斷參數(shù)來判定使用何種模式進(jìn)行局部開發(fā)。最后,采用梁和懸臂板作為算例進(jìn)行損傷識別,并得到了識別結(jié)果。結(jié)果表明:在僅知道有限頻域參數(shù)的情況下,提出的算法能夠有效地識別損傷參數(shù),優(yōu)于其他進(jìn)化算法并且對測量噪聲不敏感。
[Abstract]:The damage identification of the structure is carried out based on the two-step method. Firstly, the structure unit is searched by improved residual force vector location method to find the suspected element, and then the objective function is established based on the frequency domain parameters, and the damage of the structure is retrieved by using the Tree-seed algorithm. In order to improve the optimization ability of the algorithm, two local search modes are introduced, and the adaptive judgment parameters are used to determine which pattern is used for local development. Finally, the beam and cantilever plate are used as examples to identify the damage, and the recognition results are obtained. The results show that the proposed algorithm is better than other evolutionary algorithms in identifying damage parameters and is insensitive to measurement noise under the condition of only knowing the parameters in finite frequency domain.
【作者單位】： 中山大學(xué)工學(xué)院;
【基金】：國家自然科學(xué)基金(1117233) 廣東省自然科學(xué)基金(2015A030313126) 廣東省科技計(jì)劃項(xiàng)目(2014A020218004,2016A020223006)
【分類號】：O346.5
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本文編號：2077275