Benchmark Studies for Bridge Health Monitoring Using an Improved Modal Strain Energy Method

Insufficient available dynamic characteristics data of real structures during the service and prior to damage is a concern in Structural Health Monitoring (SHM) employing Vibration Based Damage Detection (VBDD) techniques. The issue becomes more intense with complexity of the structure. One remedy for this problem is to apply new methodologies to the same structure as the benchmark structure having measured data available at different cases. Hence, the reliability of the proposed approach is typically confirmed in reality for that type of structures. This study aims to examine the application of an improved two-stage Modal Strain Energy (MSE) method to a benchmark bridge available, whereas the MSE method has already been numerically and experimentally verified. For this purpose, a steel truss bridge model is numerically simulated. Different damage scenarios, affected by up to five percent noise are considered and the first five vertical mode shapes are used. The results show that the proposed method is proper for health monitoring of complex bridges and accurately identifies the damage in the bridge model under consideration. The findings of this paper can confidently contribute to academic studies and the bridge industry to realize the genuine condition and behaviour of complex bridges during the damage.

[1]  F Catbas,et al.  Development of a benchmark problem for bridge health monitoring , 2006 .

[2]  Jason Lee Burkett.  Benchmark Studies For Structural Health Monitoring Using Analytical And Experimental Models , 2005 .

[3]  David P. Thambiratnam,et al.  Effects of Wireless Sensor Network Uncertainties on Output-Only Modal-Based Damage Identification , 2014 .

[4]  David P. Thambiratnam,et al.  Structural health monitoring in Australia , 2011 .

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

[6]  Kent L. Lawrence,et al.  ANSYS Tutorial Release 14: Structural & Thermal Analysis Using the Ansys Mechanical Apdl Release 14 Environment , 2012 .

[7]  Lei Wang,et al.  Review of Benchmark Studies and Guidelines for Structural Health Monitoring , 2013 .

[8]  Liang Wang,et al.  Innovative damage assessment of steel truss bridges using modal strain energy correlation , 2012 .

[9]  Yuequan Bao,et al.  Dempster–Shafer evidence theory approach to structural damage detection , 2012 .

[10]  Peter I. Kattan,et al.  MATLAB Guide to Finite Elements: An Interactive Approach , 2003 .

[11]  Alessandro De Stefano,et al.  Vibration-based monitoring of civil infrastructure: challenges and successes , 2011 .

[12]  Tommy H.T. Chan,et al.  An improved modal strain energy method for structural damagedetection, 2D simulation , 2015 .

[13]  Tommy H.T. Chan,et al.  Health monitoring of short-and medium-span bridges using an improved modal strain energy method , 2013 .

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

[15]  Theanh Nguyen.  SHM through flexible vibration sensing technologies and robust safety evaluation paradigm , 2014 .

[16]  Mustafa Gul,et al.  Conceptual damage-sensitive features for structural health monitoring: Laboratory and field demonstrations , 2008 .

[17]  David P. Thambiratnam,et al.  Structural identification of a laboratory-based steel through truss cantilevered bridge with suspended span using a layered genetic algorithm with patternsearch step (GAPS) , 2015 .

[18]  Yonghui An,et al.  Experimental and numerical studies on model updating method of damage severity identification utilizing four cost functions , 2013 .

[19]  Wensong Zhou,et al.  A benchmark problem for structural health monitoring based on a real bridge structure , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[20]  Mustafa Gul,et al.  Damage assessment using flexibility and flexibility-based curvature for structural health monitoring , 2008 .

[21]  David P. Thambiratnam,et al.  Structural Complexity in Structural Health Monitoring: Preliminary Experimental Modal Testing and Analysis , 2015, WCE-2015 2015.

[22]  David P. Thambiratnam,et al.  Structural complexity in structural health monitoring: design of laboratory model and test plan , 2015, WCE-2015 2015.