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大跨徑連續(xù)剛構(gòu)橋縮尺模型工作狀態(tài)時(shí)域信號(hào)段智能化選取方法研究

發(fā)布時(shí)間:2018-01-03 14:08

  本文關(guān)鍵詞:大跨徑連續(xù)剛構(gòu)橋縮尺模型工作狀態(tài)時(shí)域信號(hào)段智能化選取方法研究 出處:《重慶交通大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


  更多相關(guān)文章: 大跨徑連續(xù)剛構(gòu)橋 模型實(shí)驗(yàn)行車激勵(lì) 動(dòng)力損傷識(shí)別聲紋圖譜 指征頻率 性能函數(shù)


【摘要】:當(dāng)前,國(guó)內(nèi)外大跨徑連續(xù)剛構(gòu)橋應(yīng)用廣泛而又病害損傷頻發(fā),引起了工程界的廣泛重視。本文以大跨徑連續(xù)剛構(gòu)橋?yàn)橹饕芯繉?duì)象,在現(xiàn)有結(jié)構(gòu)動(dòng)力學(xué)、信號(hào)分析、聲紋識(shí)別、結(jié)構(gòu)模態(tài)識(shí)別、概率及統(tǒng)計(jì)學(xué)、結(jié)構(gòu)損傷識(shí)別等理論基礎(chǔ)上,加工制作縮尺橋梁模型,開展多種激勵(lì)作用下橋梁結(jié)構(gòu)基于加速度響應(yīng)信號(hào)分段解析和聲紋圖譜的動(dòng)力損傷識(shí)別研究,完成的主要工作如下。 ①根據(jù)相似比原理,設(shè)計(jì)、制作了黑沖溝大橋(左幅)縮尺模型;通過人工靜力加載集中力,使模型橋主跨跨中產(chǎn)生底板橫向自然裂縫,以模擬結(jié)構(gòu)損傷狀態(tài)。 ②完成模型橋各種結(jié)構(gòu)狀態(tài)在環(huán)境激勵(lì)、錘擊激勵(lì)下加速度信號(hào)的采集和處理分析,建立原型和模型橋梁結(jié)構(gòu)有限元仿真模型,對(duì)原橋?qū)崪y(cè)數(shù)據(jù)、縮尺模型實(shí)測(cè)數(shù)據(jù)與有限元計(jì)算數(shù)據(jù)進(jìn)行對(duì)比分析,對(duì)縮尺橋梁模型和有限元數(shù)值模型的有效性進(jìn)行了驗(yàn)證。 ③針對(duì)縮尺橋梁模型的初始完好狀態(tài)、開裂損傷狀態(tài)及裂縫擴(kuò)展?fàn)顟B(tài)等多個(gè)結(jié)構(gòu)狀態(tài),分別開展不同質(zhì)量、不同行駛速度的多個(gè)行車激勵(lì)工況實(shí)驗(yàn),獲取模型結(jié)構(gòu)關(guān)鍵部位加速度時(shí)程響應(yīng)信號(hào),采用信號(hào)時(shí)域分段頻譜分析方法,構(gòu)建基于加速度信號(hào)的結(jié)構(gòu)動(dòng)力響應(yīng)聲紋圖譜,再利用分段頻譜分析得到的頻率點(diǎn)概率加權(quán)得到各工況下模型結(jié)構(gòu)的指征頻率。 ④基于結(jié)構(gòu)損傷引起結(jié)構(gòu)固有頻率降低的概率意義,,利用模型橋梁在完好狀態(tài)和損傷狀態(tài)下各工況指征頻率的統(tǒng)計(jì)特征,建立結(jié)構(gòu)損傷識(shí)別的性能函數(shù),利用性能函數(shù)的概率分布對(duì)結(jié)構(gòu)損傷進(jìn)行判斷。
[Abstract]:At present, the long span continuous rigid frame bridge is widely used at home and abroad, with frequent damage and disease, which has attracted wide attention in the engineering field. In this paper, the long span continuous rigid frame bridge as the main research object, in the existing structural dynamics. Based on the theory of signal analysis, sound pattern recognition, structural modal identification, probability and statistics, structural damage identification, the model of scale bridge is fabricated. Dynamic damage identification of bridge structures under various excitations based on acceleration response signal segmentation and acoustic stripe is studied. The main work is as follows. 1. According to the principle of similarity ratio, the model of the scale of Heigonggou Bridge (left) is designed. By means of artificial static loading of concentrated force, the transverse natural cracks of the bottom plate are produced in the middle of the main span of the model bridge to simulate the damage state of the structure. (2) complete the collection and analysis of acceleration signal under the excitation of environment, and establish the prototype and finite element simulation model of the model bridge structure, and measure the actual data of the original bridge. By comparing the measured data with the finite element calculation data, the validity of the scale bridge model and the finite element numerical model is verified. (3) aiming at the initial intact state, crack damage state and crack spreading state of the scale bridge model, the experiments of driving excitation conditions with different mass and different driving speed are carried out respectively. The acceleration time-history response signals of the key parts of the model are obtained, and the structure dynamic response voice-pattern based on the acceleration signal is constructed by using the time-domain piecewise spectrum analysis method of the signal. Using the frequency point probability weighting obtained by piecewise spectrum analysis, the indicated frequency of the model structure under each working condition is obtained. Based on the probabilistic significance of structural natural frequency reduction caused by structural damage, the performance function of structural damage identification is established by using the statistical characteristics of the indicating frequency of the model bridge under the intact state and the damage state. The probability distribution of the performance function is used to judge the damage of the structure.
【學(xué)位授予單位】:重慶交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:U448.23

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