Damage Identification in Large-scale Double-layer Truss Structures Via a Two-stage Approach

In this study, a two-stage damage identification approach based on modal flexibility differences and whale optimization algorithm (WOA) was applied to localize and quantify damages in large-scale double-layer truss structures. In first stage, damage locating vector (DLV) method using EDS (exponential decreased stress) was employed to find the real damaged elements of structure; then, WOA algorithm was used to determine the severity of suspected damaged elements obtained from the first stage. To evaluate the reliability of the proposed approach, two large-scale double-layer truss structures were studied. Furthermore, to assess the effect of noise on the accuracy of damage detection, the article compares the results of EDS with NCE. Calculation results demonstrate that the combination of DLV method using EDS and WOA algorithm provides an effective tool to carefully determine the location and the severity of structural damages in noisy condition directly. Moreover, the approach determines damages even though there are the low number of used mode shapes and a high number of structural elements.

[1]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[2]  O. Hasançebi,et al.  Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures , 2009 .

[3]  S. M. Seyedpoor,et al.  A two-stage damage detection method for truss structures using a modal residual vector based indicator and differential evolution algorithm , 2016 .

[4]  H. Agerskov.  Optimum Geometry Design of Double‐Layer Space Trusses , 1986 .

[5]  José Elias Laier,et al.  Assessing the performance of a differential evolution algorithm in structural damage detection by varying the objective function , 2014 .

[6]  Y. Yana,et al.  Development in vibration-based structural damage detection technique , 2007 .

[7]  Hoon Sohn,et al.  A Review of Structural Health Review of Structural Health Monitoring Literature 1996-2001. , 2002 .

[8]  A. K. Pandey,et al.  Damage Detection in Structures Using Changes in Flexibility , 1994 .

[9]  P. Torkzadeh,et al.  Structural optimization with frequency constraints by genetic algorithm using wavelet radial basis function neural network , 2008 .

[10]  Seyed Rohollah Hoseini Vaez,et al.  Multi-damage identification of large-scale truss structures using a two-step approach , 2018, Journal of Building Engineering.

[11]  Antonio Ruiz,et al.  Performance assessment of multicriteria damage identification genetic algorithms , 2009 .

[12]  K. Moslem,et al.  Structural Damage Detection by Genetic Algorithms , 2002 .

[13]  Jun Zhao,et al.  Sensitivity Study for Vibrational Parameters Used in Damage Detection , 1999 .

[14]  Billie F. Spencer,et al.  Experimental Verification of the Flexibility-Based Damage Locating Vector Method , 2007 .

[15]  T. Nguyen-Thoi,et al.  A two-step approach for damage detection in laminated composite structures using modal strain energy method and an improved differential evolution algorithm , 2016 .

[16]  Keith Worden,et al.  An introduction to structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[17]  Seyed Rohollah Hoseini Vaez,et al.  Vibration-based damage detection of concrete gravity dam monolith via wavelet transform , 2017 .

[18]  Zhengliang Li,et al.  A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm , 2009 .

[19]  Sung-Han Sim,et al.  Reliability-based evaluation of the performance of the damage locating vector method , 2008 .

[20]  Seyed Rohollah Hoseini Vaez,et al.  Damage identification of a 2D frame structure using two-stage approach , 2018 .

[21]  Ali Kaveh,et al.  Detection of damage in truss structures using Simplified Dolphin Echolocation algorithm based on modal data , 2016 .

[22]  T. Vo-Duy,et al.  Damage assessment of laminated composite beam structures using damage locating vector (DLV) method , 2015, Frontiers of Structural and Civil Engineering.

[23]  Ser Tong Quek,et al.  Structural damage detection using enhanced damage locating vector method with limited wireless sensors , 2009 .

[24]  S. M. Seyedpoor,et al.  A damage identification method for truss structures using a flexibility-based damage probability index and differential evolution algorithm , 2016 .

[25]  José Elias Laier,et al.  A hybrid Particle Swarm Optimization - Simplex algorithm (PSOS) for structural damage identification , 2009, Adv. Eng. Softw..

[26]  D. Bernal.  Load Vectors for Damage Localization , 2002 .

[27]  Amir H. Gandomi,et al.  A hybrid damage detection method using dynamic-reduction transformation matrix and modal force error , 2016 .

[28]  S. R. Hoseini Vaez,et al.  Damage Detection of Thin Plates Using GA-PSO Algorithm Based on Modal Data , 2017 .

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

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

[32]  O. S. Salawu.  Detection of structural damage through changes in frequency: a review , 1997 .

[33]  Zhengjia He,et al.  Crack detection in a shaft by combination of wavelet-based elements and genetic algorithm , 2008 .

[34]  Ali Kaveh,et al.  Enhanced vibrating particles system algorithm for damage identification of truss structures , 2017 .

[35]  Eun-Taik Lee,et al.  Damage Detection Using Measurement Response Data of Beam Structure Subject to a Moving Mass , 2015 .