發(fā)布時(shí)間：2018-01-04 22:25

  本文關(guān)鍵詞：基于神經(jīng)網(wǎng)絡(luò)的鋼梁損傷識別研究　出處：《昆明理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 損傷識別 ANSYS 神經(jīng)網(wǎng)絡(luò) 曲率模態(tài)

【摘要】：我國國力的不斷增強(qiáng)、經(jīng)濟(jì)的持續(xù)快速發(fā)展以及現(xiàn)代化科技水平的提高,隨之而來的是我國的道路交通運(yùn)輸業(yè)也在同步快速的發(fā)展。橋梁作為我國公路建設(shè)的一個(gè)不可或缺重要分支,從古至今一直肩負(fù)著運(yùn)輸?shù)闹厝?同時(shí)也在不斷的發(fā)展。特別是近年來,各種不同類型、不同功能的橋梁在各地如雨后春筍般不斷涌現(xiàn)。然而由于年代久遠(yuǎn)、超負(fù)荷運(yùn)轉(zhuǎn)以及自然環(huán)境的惡化等因素造成許多橋梁產(chǎn)生了不同程度的損傷,這些表面或隱藏在內(nèi)部的損傷造成的重大的安全隱患。諸多橋梁的安全事故的發(fā)生不但造成了巨大的經(jīng)濟(jì)損失,也嚴(yán)重的危及人們的人身安全。對橋梁結(jié)構(gòu)的的監(jiān)測和對結(jié)構(gòu)可能出現(xiàn)的損傷進(jìn)行診斷并且及時(shí)對產(chǎn)生的損傷進(jìn)行補(bǔ)救成為了橋梁維護(hù)的重點(diǎn)工作。 在整理總結(jié)工程界國內(nèi)外學(xué)者對于橋梁結(jié)構(gòu)的損傷識別的諸多工作的基礎(chǔ)上,綜合了結(jié)構(gòu)振動的模態(tài)分析法和神經(jīng)網(wǎng)絡(luò)理論對損傷結(jié)構(gòu)進(jìn)行識別分析。首先利用大型通用仿真分析軟件ANSYS對檢測目標(biāo)進(jìn)行建模,并進(jìn)行模態(tài)分析,把通過模態(tài)分析采集結(jié)構(gòu)的各種模態(tài)參數(shù)導(dǎo)入到MATLAB軟件的神經(jīng)網(wǎng)絡(luò)工具構(gòu)造神經(jīng)網(wǎng)絡(luò)并對網(wǎng)絡(luò)進(jìn)行訓(xùn)練,最后利用已經(jīng)訓(xùn)練好的神經(jīng)網(wǎng)絡(luò)對試驗(yàn)方法得到的結(jié)構(gòu)損傷數(shù)據(jù)進(jìn)行測試。實(shí)驗(yàn)的結(jié)果表明,綜合了模態(tài)分析理論和神經(jīng)網(wǎng)絡(luò)原理的方法能夠有效的檢測出結(jié)構(gòu)的損傷位置以及結(jié)構(gòu)的損傷程度。 本文在闡述了橋梁結(jié)構(gòu)損傷檢測的背景及意義的基礎(chǔ)上,具體分別一一列出了近些年來國內(nèi)外學(xué)者在結(jié)構(gòu)損傷識別研究工作上的重要進(jìn)展和理論的創(chuàng)新情況。介紹了結(jié)構(gòu)振動的基本理論和模態(tài)分析的基本原理,討論了幾種模態(tài)參數(shù)在損傷識別中的利用并比較幾種參數(shù)的精確程度�；谟邢拊碚摰姆治鲕浖嗀NSYS的理論基礎(chǔ)、分析方法,同時(shí)介紹了神經(jīng)網(wǎng)絡(luò)的原理并分析了幾種神經(jīng)網(wǎng)絡(luò)的應(yīng)用于損傷檢測各自的利弊。對被檢測結(jié)構(gòu)的無損以及不同損傷情況下的工況利用軟件進(jìn)行建模并進(jìn)行模態(tài)分析,把模態(tài)分析得到的數(shù)據(jù)進(jìn)行作為單一參數(shù)或者互相組合來構(gòu)成神經(jīng)網(wǎng)絡(luò)的輸入?yún)?shù),并對神經(jīng)網(wǎng)絡(luò)進(jìn)行訓(xùn)練。訓(xùn)練好的神經(jīng)網(wǎng)絡(luò)可以用來對結(jié)構(gòu)進(jìn)行損傷位置檢測和損傷程度判定。 總結(jié)本文的主要研究工作,以結(jié)構(gòu)的指定點(diǎn)的曲率模態(tài)值和頻率結(jié)合作為綜合參數(shù),利用BP神經(jīng)網(wǎng)絡(luò)對結(jié)構(gòu)單損傷以及雙損傷都能準(zhǔn)確的定位,且對于損傷程度的判定精確度較高。
[Abstract]:China's national strength, the sustained and rapid economic development and modernization of the science and technology level, followed by China's road transportation industry also synchronized development rapidly. As an important branch of China's highway construction of the bridge, straight shoulders from ancient times to the present transport task, but also in the unceasing development especially in recent years, a variety of different types, different functions such as bridge in the country continue to emerge. However, like bamboo shoots after a spring rain due to the passage of time, overload and the deterioration of the natural environment and other factors caused many bridges have varying degrees of damage, the surface or hidden in the internal damage caused by the occurrence of major security risks. Many accidents of bridge not only caused huge economic losses, but also seriously endanger people's safety. The monitoring of bridge structure and the structure It is the key work of bridge maintenance to diagnose the possible damage and to remediate the damage in time.
In the summary of domestic and foreign scholars on the basis of the engineering of bridge structural damage identification on the comprehensive structural vibration modal analysis method and neural network theory for structural damage identification analysis. Firstly, using the general simulation software ANSYS for the detection of target modeling and modal analysis, the analysis of all kinds of import modal parameter acquisition structure to the MATLAB software through the modal neural network tool to construct neural network and the network training, and finally tested by structural damage data has trained neural network to test method. The experimental results show that the comprehensive method of modal analysis theory and neural network principle can detect the structural damage the location and extent of damage of the structure effectively.
Based on the description of the background and significance of the structural damage detection of bridges on the specific list in recent years domestic and foreign scholars in the innovation of structural damage important progress and the research work on the theory of recognition. This paper introduces the basic principle of basic theory and modal analysis, discusses the use of several modal parameters in damage identification and accuracy comparison of several parameters. Analysis method of the theoretical foundation, the theory of finite element analysis software based on ANSYS, and introduces the principle of neural network and analyzes the application of several neural network in damage detection of the respective advantages and disadvantages. The modeling and modal analysis using the software structure and different nondestructive damage under the conditions tested, the modal analysis of the data as a single parameter or combined with each other to form the input of the neural network The neural network is trained. The trained neural network can be used to detect the damage position and determine the damage degree of the structure.
The main research work in this paper is summarized. Taking the combination of curvature modal value and frequency of the specified point as the comprehensive parameter, the BP neural network is used to locate the single damage and double damage of the structure accurately, and the accuracy of the damage degree is high.

【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U445.71

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