Structural damage detection methods using Finite Element Modeling

Author(s): Harindranath S, M Beena Mol

Abstract: In the past ten years, the detection of structural damage based on finite element (FE), model updates is an area of study with increased attention to the civil engineering field. Different studies have addressed direct, predictive, empirical, and algorithmic techniques for the update of FE models for the assessment of structural damages. The study examines the structural health monitoring approach using the Response surface method, Bayesian’s Probabilistic Strategy (BPA), Modifying Genetic Algorithms (MGA), and Evolutionary Algorithms (Evolutionary Algorithms). Such approaches are graded according to the list of benefits available in each method. Modeling of finite elements focused upon evolutionary algorithms provides better results than other algorithms.