基于小波神經(jīng)網(wǎng)絡(luò)方法的橋梁結(jié)構(gòu)損傷識(shí)別研究
發(fā)布時(shí)間：2018-10-14 14:37
【摘要】：橋梁結(jié)構(gòu)在服役期間會(huì)承受復(fù)雜的荷載,長(zhǎng)期使用會(huì)不可避免地出現(xiàn)各種損傷.若這些損傷不能被及時(shí)發(fā)現(xiàn)和適當(dāng)處理,將有可能造成嚴(yán)重的事故.因此,橋梁結(jié)構(gòu)的局部小損傷識(shí)別對(duì)于其及時(shí)檢修有重要意義.通常,損傷結(jié)構(gòu)的全局動(dòng)態(tài)特性測(cè)試可能對(duì)局部的結(jié)構(gòu)損傷不敏感,特別是對(duì)小損傷,這就需要從結(jié)構(gòu)動(dòng)態(tài)響應(yīng)信號(hào)中提取對(duì)損傷更敏感的特征量.建立了橋梁結(jié)構(gòu)的有限元模型并進(jìn)行動(dòng)力特性分析;采用小波包分析方法處理結(jié)構(gòu)動(dòng)態(tài)響應(yīng)信號(hào)以構(gòu)造結(jié)構(gòu)損傷指標(biāo),并結(jié)合結(jié)構(gòu)損傷指標(biāo)和人工神經(jīng)網(wǎng)絡(luò)方法進(jìn)行橋梁結(jié)構(gòu)的損傷定位.
[Abstract]:Bridge structures will bear complex loads during service, and various kinds of damage will inevitably occur in long-term service. If these injuries are not detected and properly dealt with in time, serious accidents may occur. Therefore, the identification of local small damage of bridge structure is of great significance for its timely repair. In general, the global dynamic characteristics of damaged structures may be insensitive to local structural damage, especially to small damage, which requires the extraction of more sensitive characteristics from structural dynamic response signals. The finite element model of bridge structure is established and the dynamic characteristics are analyzed. The wavelet packet analysis method is used to deal with the structural dynamic response signal to construct the damage index of the structure. Combined with structural damage index and artificial neural network method, the damage location of bridge structure is carried out.
【作者單位】： 西北工業(yè)大學(xué)力學(xué)與土木建筑學(xué)院;廣東省建工設(shè)計(jì)院有限公司;
【基金】：高校博士學(xué)科點(diǎn)專項(xiàng)科研基金(優(yōu)先發(fā)展領(lǐng)域)(20126102130004) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助(3102015BJ(Ⅱ)MYZ13)
【分類號(hào)】：U446
，
本文編號(hào)：2270768
[Abstract]:Bridge structures will bear complex loads during service, and various kinds of damage will inevitably occur in long-term service. If these injuries are not detected and properly dealt with in time, serious accidents may occur. Therefore, the identification of local small damage of bridge structure is of great significance for its timely repair. In general, the global dynamic characteristics of damaged structures may be insensitive to local structural damage, especially to small damage, which requires the extraction of more sensitive characteristics from structural dynamic response signals. The finite element model of bridge structure is established and the dynamic characteristics are analyzed. The wavelet packet analysis method is used to deal with the structural dynamic response signal to construct the damage index of the structure. Combined with structural damage index and artificial neural network method, the damage location of bridge structure is carried out.
【作者單位】： 西北工業(yè)大學(xué)力學(xué)與土木建筑學(xué)院;廣東省建工設(shè)計(jì)院有限公司;
【基金】：高校博士學(xué)科點(diǎn)專項(xiàng)科研基金(優(yōu)先發(fā)展領(lǐng)域)(20126102130004) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助(3102015BJ(Ⅱ)MYZ13)
【分類號(hào)】：U446
，
本文編號(hào)：2270768
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