A DE-Based Algorithm for Structural Damage Detection

Yong Ming Fu; Ling Yu

doi:10.4028/www.scientific.net/AMR.919-921.303

Paper Titles

Exterior-Template Design for Concrete Engineering in an Arched Structure
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The Strain Change Rules of Full-Scale High Strength Concrete Frame Columns with High Axial Compression Rations
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Upheaval Buckling Analysis of Buried Offshore Pipelines under High Temperature and High Pressure
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A Case Study on the Use of Aluminum Forms in Nuclear Power Plant Construction
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A DE-Based Algorithm for Structural Damage Detection
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Construction Monitoring of Prestressed Concrete Continuous Beam Bridge
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Experimental Measurement of Two-Dimensional Circular Boundary Temperature Field by Acoustic Method
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Knowledge of the Construction Technique of the Multiple Leaf Masonry Façades of Palazzo Ducale in Venice with ND and MD Tests
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Modal Parameter Identification of Concrete Filled Steel Tube Arch Bridge Based on Stochastic Subspace Method
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 919-921A DE-Based Algorithm for Structural Damage...

A DE-Based Algorithm for Structural Damage Detection

Abstract:

The development of a methodology for the accurate and reliable assessment of structural damages, as one crucial step in the structural health monitoring (SHM) field, is very important to ensure the safety, integrity and stability of structures. An improved adaptive differential evolution (IADE) algorithm is proposed for structural damage detection (SDD) based on DE algorithm and FE model-updating techniques. An objective function is defined as minimizing the discrepancies between the experimental and analytical modal parameters (namely, natural frequencies and mode shapes). It is set as a nonlinear least-squares problem with bound constraints. Unlike the commonly used line-search methods, the IADE approach, a heuristic method for the direct search of the optimal point of the given objective function, is employed to make the optimization process more robust and reliable. Some numerical simulations for single and multiple damage cases of a 25-bar space truss frame structure have been conducted for evaluation on the reliability and robustness of the proposed method. The illustrated results show that the IADE algorithm is very effective for SDD. It can not only locate the structural damages but also quantify the severity of damages. Regardless of slight damage or multiple damages, the identification accuracy is very high and noise immunity is better, which shows that the IADE algorithm is feasible and effective for SDD.