基于应变能均化指标和云模型的结构损伤识别
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TU317

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国家自然科学基金(51578094、51468058)


Structural damage identification based on modal strain energy mean index and cloud model
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    摘要:

    为了解决测量噪声等引起的损伤识别不确定问题,提出了基于应变能均化指标和云模型相结合的识别方法。分析了结构的模态应变能以及两种损伤指标,并考虑到模态应变能耗散率指标和等效指标之间的互补性质,通过均化方法建立了模态应变能均化指标;给出了云模型的基本理论,分析了云模型的数字特征、云处理算法以及确定度计算方法;结合随机测量噪声等引起的不确定性问题,建立了基于应变能均化指标和云模型的损伤识别方法。数值计算结果表明,应变能均化指标的识别结果略优于应变能耗散率指标和应变能等效指标,当考虑随机测量噪声时,云模型与应变能均化指标相结合的方法可以较好地进行含噪数据的损伤识别。

    Abstract:

    In order to solve the uncertain damage problem caused by measurement noise, a damage identification method based on modal strain energy mean index(MSEMI) and cloud model is presented. First, structural modal strain energy and two kinds of damage indexes are analyzed. Considering that modal strain energy dissipation ratio index (MSEDRI) and modal strain energy equivalence index (MSEEI) are complementary, a MSEMI is proposed through the mean value method. Then, some basic theories of cloud model are introduced, and numerical characteristic estimation, cloud processing algorithm and certainty function are analyzed. Finally, the damage identification method based on MSEMI and cloud model is presented to solve the uncertain damage problem. Simulation results show that the identification results of the proposed MSEMI are better than those from both MSEDRI and MSEEI, and the damage identification method based on MSEMI and cloud model can solve the uncertain damage problem caused by measurement noise.

    参考文献
    [1] LAM H F, YANG J H. Bayesian structural damage detection of steel towers using measured modal parameters[J]. Earthquakes & Structures, 2015, 8(4):935-956.
    [2] LI P J, XU D W, ZHANG J. Probability-based structural health monitoring through Markov chain Monte Carlo sampling[J]. International Journal of Structural Stability and Dynamics, 2016, 16(7):1550039-1-1550039-16.
    [3] YUEN K V, AU S K, BECK J L. Two-stage structural health monitoring approach for phase I benchmark studies[J]. Journal of Engineering Mechanics, 2004, 130(1):16-33.
    [4] KOH B H, DYKE S J. Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data[J]. Computers & Structures, 2007, 85(3/4):117-130.
    [5] MORASSI A, ROVERE N. Localizing a notch in a steel frame from frequency measurements[J]. Journal of Engineering Mechanics, 1997, 123(5):422-432.
    [6] 刘济科, 杨秋伟. 基于残余力向量的结构损伤识别两步法[J]. 中山大学学报(自然科学版), 2004, 43(4):1-4. LIU J K, YANG Q W. A two-step method for structural damage identification based on residual force vector[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2004, 43(4):1-4. (in Chinese)
    [7] SHI Z Y, LAW S S, ZHANG L M.Structural damage localization from modal strain energy change[J]. Journal of Sound and Vibration, 1998, 218(5):825-844.
    [8] SAZONOV E, KLINKHACHORN P. Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes[J]. Journal of Sound and Vibration, 2005, 285(4/5):783-801.
    [9] 刘晖,瞿伟廉,袁润章. 基于模态应变能耗散率理论的结构损伤识别方法[J]. 振动与冲击,2004,23(2):118-121. LIU H, QU W L, YUAN R Z. Structural damage detection method based on the theory of dissipationratio of modal strain energy[J]. Journal of Vibration and Shock, 2004, 23(2):118-121. (in Chinese)
    [10] GUO H Y, LI Z L. Structural damage identification based on Bayesian theory and improved immune genetic algorithm[J]. Expert Systems with Applications, 2012, 39:6426-6434.
    [11] 郭惠勇,盛懋. 基于模态应变能的不同损伤指标对比[J]. 河海大学学报(自然科学版), 2014, 42(5):444-450. GUO H Y, SHENG M. A comparative study of different modal strain energy damage indexes[J]. Journal of Hohai University (Natural Sciences), 2014, 42(5):444-450. (in Chinese)
    [12] HU H W, WU C B. Development of scanning damage index for the damage detection of plate structures using modal strain energy method[J]. Mechanical Systems and Signal Processing, 2009, 23(2):274-287.
    [13] SEYEDPOOR S M. A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization[J]. International Journal of Non-Linear Mechanics, 2012, 47(1):1-8.
    [14] LI D Y. Uncertainty in knowledge representation[J]. Engineeringence, 2000, 2(10):73-79.
    [15] LI D Y, LIU C, GAN W. A new cognitive model:Cloud model[J]. International Journal of Intelligent Systems, 2009, 24(3):357-375.
    [16] UDWADIA F E. Structural identification and damage detection from noisy modal data[J]. Journal of Aerospace Engineering, 2005, 18(3):179-187.
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郭惠勇,张鑫,王玉山.基于应变能均化指标和云模型的结构损伤识别[J].土木与环境工程学报(中英文),2018,40(4):121-127. Guo Huiyong, Zhang Xin, Wang Yushan. Structural damage identification based on modal strain energy mean index and cloud model[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2018,40(4):121-127.10.11835/j. issn.1674-4764.2018.04.017

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  • 收稿日期:2017-09-18
  • 在线发布日期: 2018-07-05
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