Damage detection and quantification in deck type arch bridges using vibration based methods and artificial neural networks

Abstract Vibration based methods can be used to detect damage in a structure as its vibration characteristics change with physical changes in the structure. Extensive research has been carried out on the use of such methods to detect damage in a number of simple and some complex structures. Arch bridge is a popular type of bridge with rather complex vibration characteristics which pose a challenge for using existing vibration based methods to detect damage in them. Further, its complex form of damage detection, even with modified vibration based methods makes the quantification process harder and challenging. This paper develops and applies a vibration based method especially suited for arch bridges to detect, locate and quantify damages in the structural components. In the proposed method, modified forms of the modal flexibility (MMF) and modal strain energy (MMSE) based damage indices coupled with the Artificial Neural Network (ANN) technology is used to provide an overall damage assessment. The procedure to detect and locate damage was experimentally validated and applied to a full scale long span arch bridge under a range of damage scenarios. Damage indices obtained from noise polluted vibration data are then used as input data for training and validation of the neural networks. Two neural networks were trained separately using MMF and MMSE damage indices and a network fusion approach is used to obtain unambiguous and accurate results for detecting, locating and quantifying damages. The trained neural network system was then successfully applied to identify unknown damages using only vibration data of damaged structural elements of arch bridges. The findings of this paper will contribute towards the safe and efficient operation of arch type bridges.

[1]  Naci Caglar,et al.  Neural network based approach for determining the shear strength of circular reinforced concrete columns , 2009 .

[2]  Bijan Samali,et al.  Dynamic-Based Damage Identification Using Neural Network Ensembles and Damage Index Method , 2010 .

[3]  David P. Thambiratnam,et al.  Vibration characteristics and damage detection in a suspension bridge , 2016 .

[4]  R. A. Shenoi,et al.  Quantification and localisation of damage in beam-like structures by using artificial neural networks with experimental validation , 2003 .

[5]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[6]  Shuai Zhang,et al.  Two-stage structural damage detection using fuzzy neural networks and data fusion techniques , 2011, Expert Syst. Appl..

[7]  Hongpo Xu,et al.  Damage Detection in a Girder Bridge by Artificial Neural Network Technique , 2006, Comput. Aided Civ. Infrastructure Eng..

[8]  José L. Zapico,et al.  Seismic damage identification in buildings using neural networks and modal data , 2008 .

[9]  Charles R. Farrar,et al.  Application of the strain energy damage detection method to plate-like structures , 1999 .

[10]  E. J. Williams,et al.  A Multiple-Damage Location Assurance Criterion Based on Natural Frequency Changes , 1998 .

[11]  R. A. Shenoi,et al.  Vibration-based damage identification in beam-like composite laminates by using artificial neural networks , 2003 .

[12]  David P. Thambiratnam,et al.  Correlation-Based Damage Detection for Complicated Truss Bridges Using Multi-Layer Genetic Algorithm , 2012 .

[13]  A. K. Pandey,et al.  Experimental verification of flexibility difference method for locating damage in structures , 1995 .

[14]  Ling Zhang,et al.  Improved Damage Quantification from Elemental Modal Strain Energy Change , 2002 .

[15]  S. Law,et al.  Structural Damage Detection from Incomplete and Noisy Modal Test Data , 1998 .

[16]  Y. Kim,et al.  Damage detection using the Lipschitz exponent estimated by the wavelet transform: applications to vibration modes of a beam , 2002 .

[17]  Nikos A. Aspragathos,et al.  Identification of crack location and magnitude in a cantilever beam from the vibration modes , 1990 .

[18]  Chung Bang Yun,et al.  Damage diagnosis of steel girder bridges using ambient vibration data , 2006 .

[19]  Jian Zhang,et al.  Comparative Study of Modal Strain Energy Based Damage Localization Methods For Three-Dimensional Structure , 2010 .

[20]  David P. Thambiratnam,et al.  Damage detection in truss bridges using vibration based multi-criteria approach , 2011 .

[21]  Charles R. Farrar,et al.  Comparative study of damage identification algorithms applied to a bridge: I. Experiment , 1998 .

[22]  David P. Thambiratnam,et al.  Development of a vibration based method to update axial shortening of vertical load bearing elements in reinforced concrete buildings , 2013 .

[23]  Norris Stubbs,et al.  Application of Pattern Recognition to Damage Localization , 1996 .

[24]  Cecilia Surace,et al.  An application of Genetic Algorithms to identify damage in elastic structures , 1996 .

[25]  David P. Thambiratnam,et al.  Vibration based structural damage detection in flexural members using multi-criteria approach , 2009 .

[26]  Yi-Qing Ni,et al.  Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge , 2002 .

[27]  Tommy H.T. Chan,et al.  Damage detection in asymmetric buildings using vibration‐based techniques , 2018 .

[28]  Ardeshir Bahreininejad,et al.  Damage detection of truss bridge joints using Artificial Neural Networks , 2008, Expert Syst. Appl..

[29]  S. S. Law,et al.  DAMAGE LOCALIZATION BY DIRECTLY USING INCOMPLETE MODE SHAPES. TECHNICAL NOTE , 2000 .

[30]  Jin-Hak Yi,et al.  Sequential damage detection approaches for beams using time-modal features and artificial neural networks , 2009 .

[31]  Pizhong Qiao,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[32]  David P. Thambiratnam,et al.  Damage detection in slab‐on‐girder bridges using vibration characteristics , 2013 .

[33]  H L Chen,et al.  Evaluating Structural Deterioration by Dynamic Response , 1995 .

[34]  Ahmet E. Aktan,et al.  Bridge-condition assessment by modal flexibility , 1994 .

[35]  David P. Thambiratnam,et al.  Structural damage detection method using frequency response functions , 2014 .