A model updating method for truss structure using stepwise uniform design schemes considered primary factors

Based on the feasibility and reliability of a forward analytical model updating method with uniform design having been proven, this paper studies the effectiveness of the method in the condition that structural measured information is uncertain and incomplete. By taking the experimental data of a steel truss as an example, this paper studies the method of experimental data processing, the determination of structural model with unknown parameters, the interval estimation of identification results and stepwise uniform design considered the correlation among identification parameters. The results show that the errors between the numerical results computed by the updated model and the experimental data are acceptable, which means the method in this paper is feasible and reliable. In the end, based on our experiences and lessons, we summarize a model updating method for complex structures using stepwise uniform design schemes considered the primary and secondary factors, and expound its computational steps.

[1]  Kai-Tai Fang,et al.  CONSTRUCTING UNIFORM DESIGNS WITH TWO- OR THREE-LEVEL , 2006 .

[2]  Carsten Könke,et al.  An inverse parameter identification procedure assessing the quality of the estimates using Bayesian neural networks , 2011, Appl. Soft Comput..

[3]  Richard Weber,et al.  A model updating strategy for predicting time series with seasonal patterns , 2010, Appl. Soft Comput..

[5]  Thomas L. Saaty,et al.  Estimating technological coefficients by the analytic hierarchy process , 1979 .

[6]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[7]  Vahid Johari Majd,et al.  Model updating of multistory shear buildings for simultaneous identification of mass, stiffness and damping matrices using two different soft-computing methods , 2011, Expert Syst. Appl..

[8]  Jin Cheng,et al.  An artificial neural network based genetic algorithm for estimating the reliability of long span suspension bridges , 2010 .

[9]  P. G. Bakir,et al.  An improved finite element model updating method by the global optimization technique 'Coupled Local Minimizers' , 2008 .

[10]  Mohammad Reza Davoodi,et al.  Determination of nonlinear behavior of a ball joint system by model updating , 2012 .

[11]  Chih-Chen Chang,et al.  Selection of training samples for model updating using neural networks , 2002 .

[12]  Yong Lu,et al.  A two-level neural network approach for dynamic FE model updating including damping , 2004 .

[13]  Daniel J. Inman,et al.  ON MODEL UPDATING USING NEURAL NETWORKS , 1998 .

[14]  Henry J. Cowan,et al.  Building science laboratory manual , 1978 .

[15]  Temel Türker,et al.  A model updating approach based on design points for unknown structural parameters , 2011 .

[16]  Sh. Ataei,et al.  Sensor fusion of a railway bridge load test using neural networks , 2005, Expert Syst. Appl..

[17]  M. Degroot,et al.  Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.