墙土系统动测模型及土体附加参数识别方法研究
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摘要
【目的】对墙土系统动测模型进行研究,同时提出了基于模态参数的土体附加参数识别方法,为墙土系统的损伤识别和健康诊断提供一种简单、适用的模型。【方法】建立了墙土系统动测模型,假定附加刚度和附加质量成三角形分布,采用附加刚度和附加质量模拟土体对墙土系统模态特性的影响。基于模态频率构造目标函数,建立模态频率和土体附加参数之间的BP神经网络结构,识别得到不同土体弹性模量对应的土体附加参数。将三维有限元整体模型分析得到的模态频率作为真实值,计算真实值和识别值之间的相对误差,判定识别方法的可行性。【结果】基于模态频率和BP神经网络的土体附加参数识别方法能够满足工程精度要求,模态频率相对误差均在2%以内;随着土体弹性模量的提高,土体的附加刚度呈双指数函数增大,附加质量呈双指数函数减小。【结论】提出的动测模型及基于模态参数和BP神经网络的附加参数识别方法是可行的,为墙土系统的健康诊断提供了一种行之有效的方法。
【Objective】 To provide a simple and applicable model for the health diagnosis and damage identification of soil-wall system,the dynamic-detection model of soil-wall system is studied,and the identification method of virtual parameter based on modal parameters is offered.【Method】 The dynamic-detection model of soil-wall system is established,the influence of soil on modal parameters of soil-wall system is simulated by a set of added spring and added mass,the triangle distribution of added spring and added mass is assumed.The objective function based on modal frequency is constructed,the BP neural network structure between the virtual parameter and modal frequency is established to identify the virtual parameter.Modal frequency is determined based on the three-dimensional finite element model as actual value.Meanwhile,in order to determine the feasibility of the identification method,relative error between actual value and identification value is calculated.【Result】 The identification method of virtual parameter based on modal frequency and BP neural network could satisfy the engineering precision,the relative error of modal frequency is less than 2%.with the increases of the elastic modulus of soil,the added stiffness is double-exponential function increases,and added mass is double-exponential function decreases.【Conclusion】 The proposed dynamic-detection model and the identification method of virtual parameter are feasible,thus a simple and effective model is proposed for the health diagnosis of soil-wall system.
【Objective】 To provide a simple and applicable model for the health diagnosis and damage identification of soil-wall system,the dynamic-detection model of soil-wall system is studied,and the identification method of virtual parameter based on modal parameters is offered.【Method】 The dynamic-detection model of soil-wall system is established,the influence of soil on modal parameters of soil-wall system is simulated by a set of added spring and added mass,the triangle distribution of added spring and added mass is assumed.The objective function based on modal frequency is constructed,the BP neural network structure between the virtual parameter and modal frequency is established to identify the virtual parameter.Modal frequency is determined based on the three-dimensional finite element model as actual value.Meanwhile,in order to determine the feasibility of the identification method,relative error between actual value and identification value is calculated.【Result】 The identification method of virtual parameter based on modal frequency and BP neural network could satisfy the engineering precision,the relative error of modal frequency is less than 2%.with the increases of the elastic modulus of soil,the added stiffness is double-exponential function increases,and added mass is double-exponential function decreases.【Conclusion】 The proposed dynamic-detection model and the identification method of virtual parameter are feasible,thus a simple and effective model is proposed for the health diagnosis of soil-wall system.
引文
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[2]Veletsos A S,Younan A H.Dynamic soil pressures on rigid re-taining walls[J].Earthquake Engineering and Structural Dy-namics,1994,23(3):275-301.
[3]Veletsos A S,Younan A H.Dynamic response of cantilever re-taining walls[J].Journal of Geotechnical and Geoenvironmen-tal Engineering,1997,123(2):161-172.
[4]Younan A H,Veletsos A S.Dynamic response of flexible retai-ning walls[J].Earthquake Engineering and Structural Dy-namics,2000,29:1815-1844.
[5]孙利民,张晨南,潘龙,等.桥梁桩土相互作用的集中质量模型及参数确定[J].同济大学学报,2002,30(4):102-107.Sun L M,Zhang C N,Pan L,et al.Lumped-mass model and itsparameters for dynamic analysis of bridge pier-pile-soil system[J].Journal of Tongji University,2002,30(4):102-107.(inChinese)
[6]肖晓春,迟世春,林皋,等.地震荷载下桩土相互作用简化计算方法及参数分析[J].大连理工大学学报,2002,42(6):719-723.Xiao X C,Chi S C,Lin G,et al.Simplified method and para-metric analysis for pile-soil dynamic interaction under seismicloading[J].Journal of Dalian University of Technology,2002,42(6):719-723.(in Chinese)
[7]Westergaard H M.Water pressures on dams during earth-quakes[J].Transactions of the American Society of Civil En-gineers,1933,98(2):418-433.
[8]姜丽萍,杜修力.基于经验遗传-单纯形算法和结构模态参数识别结构物理参数的方法[J].地震工程与工程振动,2007,27(4):116-121.Jiang L P,Du X L.Structural physical parameter identificationbased on empirical genetic algorithm and structural modal pa-rameter[J].Journal of Earthquake Engineering and Engineer-ing Vibration,2007,27(4):116-121.(in Chinese)
[9]周云,易伟建.基于遗传退火混合算法的弹性地基上框架结构参数识别研究[J].计算力学学报,2009,26(1):94-101.Zhou Y,Yi W J.Parameter identification of the frame struc-ture on elastic foundation based on the cenetic annealing hy-brid algorithm[J].Chinese Journal of Computational Mechan-ics,2009,26(1):94-101.(in Chinese)
[10]任宜春,易伟建.结构物理参数识别的多尺度参数卡尔曼滤波方法[J].工程力学,2008,25(5):1-5.Ren Y C,Yi W J.Identification of physica parameters bymulti-scale parameter kalman filter[J].Engineering Mechan-ics,2008,25(5):1-5.(in Chinese)
[11]柳春光,贾玲玲,李会军.一种改进的桥梁结构物理参数识别算法[J].辽宁工程技术大学学报:自然科学版,2010,29(1):71-74.Liu C G,Jia L L,Li H J.An updated algorithm on bridgestructural parameter identification[J].Journal of LiaoningTechnical University:Natural Science,2010,29(1):71-74.(inChinese)
[12]王延伟,卢亮,温瑞智,等.基于多目标差分进化算法的结构物理参数辨识[J].地震工程与工程振动,2011,31(5):121-126.Wang Y W,Lu L,Wen R Z,et al.Physical parameters identi-fication of structure based on multi-objective differential evo-lution algorithm[J].Journal of Earthquake Engineering andEngineering Vibration,2011,31(5):121-126.(in Chinese)
[13]王超,任伟新,黄天立.基于离散小波变换的时变结构物理参数识别[J].中南大学学报:自然科学版,2010,41(2):655-660.Wang C,Ren W X,Huang T L.Physical parameter identifica-tion of time-varying structure based on discrete wavelet trans-form[J].Journal of Central South University:Science andTechnology,2010,41(2):655-660.(in Chinese)
[14]Yang J N,Lin S L.On-line identification of non-linear hyster-etic structures using an adaptive tracking technique[J].Non-linear Mechanics,2004,39(9):1481-1491.
[15]Huang C H.A non-linear inverse vibration problem of estima-ting the time-dependent stiffness coefficients by conjugategradient method[J].International Journal for NumericalMethods in Engineering,2001,50:1545-1558.
[16]Kang J S,Parka S K,Shin S,et al.Structural system identifi-cation in time domain using measured acceleration[J].Jour-nal of Sound and Vibration,2005,288:215-234.
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