本文選題：管道　切入點：損傷識別　出處：《華東理工大學》2015年碩士論文　論文類型：學位論文

【摘要】：管道廣泛應用于國民生活與工業(yè)生產(chǎn)的各個領域,由于長期承載、環(huán)境變化或結(jié)構腐蝕老化等使管道逐漸累積裂縫、變形等損傷,因此對管道進行損傷識別與診斷顯得日益重要。基于振動模態(tài)的結(jié)構損傷識別是目前研究的熱點。然而工程實踐中由于測試噪聲、測試條件等限制,任意單一一種損傷識別方法損傷識別能力都是有限的,損傷診斷結(jié)果易發(fā)生漏判與誤判。本文將信息融合技術中的D-S證據(jù)理論引入管道損傷識別研究。首先分析探究現(xiàn)行常用結(jié)構損傷識別方法的噪聲干擾下魯棒性及工程適用性,數(shù)值模擬研究證明了單一損傷識別方法抗噪性均不高且存在各自的使用局限性；然后為提高噪聲影響下的管道損傷識別準確率,提出了基于證據(jù)理論和單純形遺傳算法的二階段管道損傷識別方法,通過證據(jù)理論將兩種損傷識別方法作為信息源進行信息融合來初步確定損傷位置區(qū)域,通過單純形遺傳算法進一步精確診斷損傷位置與程度,在較小噪聲的影響下進行數(shù)值模擬取得了較為滿意的結(jié)果；最后,為了解決實際工程問題,提出了一種基于多信息源的改進的證據(jù)理論來用于管道損傷識別的試驗研究,獲得了更好管道損傷定位效果,且優(yōu)于傳統(tǒng)證據(jù)理論所得的結(jié)果。
[Abstract]:The pipeline is widely used in various fields of Yu Guomin's life and industrial production. Due to long-term loading, environmental changes or structural corrosion and aging, the pipeline gradually accumulates cracks, deformation, and other damage. Therefore, it is increasingly important to identify and diagnose the damage of pipelines. Structural damage identification based on vibration mode is a hot topic at present. However, in engineering practice, due to the limitations of test noise and test conditions, Any single damage identification method is limited in its ability to identify damage. The result of damage diagnosis is prone to miss judgment and misjudgment. In this paper, the D-S evidence theory of information fusion technology is introduced into the research of pipeline damage identification. Firstly, the robustness and engineering applicability of the commonly used structural damage identification methods under noise interference are analyzed and explored. The numerical simulation results show that the single damage identification method has not high noise resistance and has its own application limitations, and then in order to improve the accuracy of pipeline damage identification under the influence of noise, A two-stage pipeline damage identification method based on evidence theory and simplex genetic algorithm is proposed. Through evidence theory, two damage identification methods are used as information source for information fusion to preliminarily determine the damage location area. Through simplex genetic algorithm (SGA) to diagnose the location and degree of damage accurately, the numerical simulation results are satisfactory under the influence of less noise. Finally, in order to solve the practical engineering problems, An improved evidence theory based on multiple information sources is proposed for the experimental study of pipeline damage identification. The results obtained are better than those obtained from the traditional evidence theory.
【學位授予單位】：華東理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TE973.6

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