A TWO-STAGE DAMAGE DETECTION METHOD FOR LARGE-SCALE STRUCTURES BY KINETIC AND MODAL STRAIN ENERGIES USING HEURISTIC PARTICLE SWARM OPTIMIZATION

In this study, an approach for damage detection of large-scale structures is developed by employing kinetic and modal strain energies and also Heuristic Particle Swarm Optimization (HPSO) algorithm. Kinetic strain energy is employed to determine the location of structural damages. After determining the suspected damage locations, the severity of damages is obtained based on variations of modal strain energy between the analytical models and the responses measured in damaged models using time history dynamic analysis data. In this paper, damages are modeled as a reduction of elasticity modulus of structural elements. The detection of structural damages is formulated as an unconstrained optimization problem that is solved by HPSO algorithm. To evaluate the performance of the proposed method, the results are compared with those provided in previous studies. To demonstrate the ability of this method for detection of multiple structural damages, different types of damage scenarios are considered. The results show that the proposed method can detect the exact locations and the severity of damages with a high accuracy in large-scale structures.

[1]  Eric M. Lui,et al.  Structural damage identification using system dynamic properties , 2005 .

[2]  Ning Hu,et al.  Structural damage identification using static test data and changes in frequencies , 2000 .

[3]  P. Torkzadeh,et al.  OPTIMAL SENSOR PLACEMENT FOR DAMAGE DETECTION BASED ON A NEW GEOMETRICAL VIEWPOINT , 2013 .

[4]  X. Fang,et al.  Structural damage detection using neural network with learning rate improvement , 2005 .

[5]  J. Ko,et al.  Localization of damaged structural connections based on experimental modal and sensitivity analysis , 1998 .

[6]  Vistasp M. Karbhari,et al.  Improved damage detection method based on Element Modal Strain Damage Index using sparse measurement , 2008 .

[7]  Jamshid Ghaboussi,et al.  Genetic algorithm in structural damage detection , 2001 .

[8]  Hong Hao,et al.  Structure Damage Detection Using Neural Network with Multi-Stage Substructuring , 2010 .

[9]  Eysa Salajegheh,et al.  Detection of damage in cyclic structures using an eigenpair sensitivity matrix , 2012 .

[10]  E. J. Williams,et al.  STRUCTURAL DAMAGE DETECTION BY A SENSITIVITY AND STATISTICAL-BASED METHOD , 1998 .

[11]  C. M. Mota Soares,et al.  Structural damage identification: influence of model incompleteness and errors , 2003 .

[12]  E. Salajegheh,et al.  AN IMPROVED GENETIC ALGORITHM USING SENSITIVITY ANALYSIS AND MICRO SEARCH FOR DAMAGE DETECTION , 2010 .

[13]  Wang-Ji Yan,et al.  Damage Detection Method Based on Element Modal Strain Energy Sensitivity , 2010 .

[14]  S. Law,et al.  Structural Damage Detection from Modal Strain Energy Change , 2000 .

[15]  S. M. Seyedpoor.  A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization , 2012 .

[16]  F. Hemez,et al.  Improved Damage Location Accuracy Using Strain Energy-Based Mode Selection Criteria , 1997 .

[17]  Q. W. Yang.  A numerical technique for structural damage detection , 2009, Appl. Math. Comput..

[18]  Antonio Ruiz,et al.  Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors , 2010 .

[19]  Q. H. Wu,et al.  A heuristic particle swarm optimizer for optimization of pin connected structures , 2007 .