本文選題：橋梁結(jié)構(gòu) + 損傷識別　； 參考：《吉林大學》2015年碩士論文

【摘要】：橋梁作為重要的基礎設施組成部分,在國家經(jīng)濟、社會發(fā)展中起到了不可替代的作用。隨著綜合國力的不斷加強,橋梁建設更是取得了舉世矚目的成就。但是,隨著車輛荷載的不斷增加與材料劣化的日益加劇,橋梁損傷及失效不可避免。對現(xiàn)役橋梁及舊橋進行健康監(jiān)測及損傷識別,對保證橋梁的安全運營具有重要的實際意義�；谡駝拥膿p傷識別方法是通過動力參數(shù)的改變來辨識和識別損傷。然而,損傷識別方法在實際應用中受到測試噪聲、測試信息不完備、基準模型缺失等不確定因素的影響,造成損傷識別參數(shù)獲取不完整,降低了損傷識別結(jié)果的可靠性。如何解決參數(shù)信息不完備狀況下的損傷識別,成為促進橋梁損傷識別方法實際應用的關鍵。因此,本文針對測試參數(shù)誤差、信息缺失及基準模型缺失等不確定性狀況,基于模糊理論與數(shù)據(jù)擬合重構(gòu)技術(shù),提出了具有較強魯棒性的損傷識別方法。具體開展了以下工作:(1)詳細介紹參數(shù)信息不完備狀況下的橋梁損傷識別研究背景及意義;闡述了傳統(tǒng)損傷識別方法在處理不確定問題中的不足�？偨Y(jié)了國內(nèi)外損傷識別研究現(xiàn)狀,提出了本文的主要研究內(nèi)容。(2)闡述了粒子群優(yōu)化理論與模糊C均值聚類算法的基本原理,提出了粒子群優(yōu)化模糊C均值聚類算法�？紤]到橋梁結(jié)構(gòu)損傷識別指標在相近損傷狀態(tài)中的相似性,將粒子群優(yōu)化模糊C均值聚類方法用于結(jié)構(gòu)損傷識別,建立了基于粒子群優(yōu)化模糊C均值聚類的橋梁損傷識別方法和流程。(3)針對簡支梁測試參數(shù)誤差及部分數(shù)據(jù)缺失的信息不完備狀況,提出了基于粒子群優(yōu)化模糊C均值聚類算法的損傷識別方法。在原始數(shù)據(jù)中添加高斯白噪聲,以振型數(shù)據(jù)缺失模擬信息不完備,采用PSO-FCM方法進行損傷識別。損傷識別結(jié)果驗證了該方法處理參數(shù)誤差及數(shù)據(jù)缺失狀況損傷識別的有效性和準確性。(4)采用多項式擬合對基準模型均勻荷載面曲率參數(shù)進行重構(gòu),得到未損傷結(jié)構(gòu)的均勻荷載面曲率值,利用均勻荷載面曲率差進行損傷定位。在損傷定位的基礎上,采用PSO-FCM方法確定損傷程度。有限元仿真驗證了方法在基準模型缺失下的損傷定位與損傷程度識別的準確性。
[Abstract]:As an important infrastructure component, bridge plays an irreplaceable role in national economic and social development.With the continuous strengthening of comprehensive national strength, bridge construction has made remarkable achievements.However, with the increasing of vehicle load and deterioration of materials, bridge damage and failure are inevitable.Health monitoring and damage identification of existing bridges and old bridges are of great practical significance to ensure the safe operation of bridges.The damage identification method based on vibration is to identify and identify the damage by changing the dynamic parameters.However, the damage identification method is affected by some uncertain factors, such as test noise, incomplete test information and lack of reference model, which result in incomplete acquisition of damage identification parameters and decrease the reliability of damage identification results.How to solve the problem of damage identification under the condition of incomplete parameter information has become the key to promote the practical application of bridge damage identification method.Therefore, based on fuzzy theory and data fitting reconstruction technology, a robust damage identification method is proposed in this paper, which is based on the uncertainty of test parameter error, information loss and the absence of reference model, and is based on fuzzy theory and data fitting reconstruction technology.The research background and significance of bridge damage identification under the condition of incomplete parameter information are introduced in detail, and the shortcomings of traditional damage identification methods in dealing with uncertain problems are expounded.In this paper, the present situation of damage identification at home and abroad is summarized, and the main research content of this paper is put forward. The theory of particle swarm optimization and the basic principle of fuzzy C-means clustering algorithm are expounded, and the fuzzy C-means clustering algorithm of particle swarm optimization is put forward.Considering the similarity of damage identification indexes of bridge structures in similar damage states, particle swarm optimization (PSO) fuzzy C-means clustering method is applied to structural damage identification.A method and flow chart for bridge damage identification based on particle swarm optimization (PSO) fuzzy C-means clustering is established.A damage identification method based on particle swarm optimization fuzzy C-means clustering algorithm is proposed.Gao Si white noise is added to the original data, and the simulation information of mode data is missing. The PSO-FCM method is used to identify the damage.The result of damage identification verifies the validity and accuracy of the method in dealing with parameter errors and data loss. The polynomial fitting is used to reconstruct the curvature parameters of the uniform load surface of the benchmark model.The curvature value of uniform load surface of undamaged structure is obtained, and the damage location is carried out by using the curvature difference of uniform load surface.On the basis of damage location, PSO-FCM method is used to determine the degree of damage.Finite element simulation verifies the accuracy of damage location and damage degree identification in the absence of reference model.
【學位授予單位】：吉林大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U446

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