Genetic algorithm in structural damage detection

By Jung‐Huai Chou, Jamshid Ghaboussi. 2001

382 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates (2018, background): “The problem of damage detection has been studied over the last decades, and several methodologies have been proposed in the literature to solve it as GA [3, 11, 19, 24], PSO [5, 13, 22, 23] and ACO [4, 16, 17].”
Big Bang-Big Crunch optimization for parameter estimation in structural systems (2010, positive): “Chou and Ghaboussi [11] introduced GAs to identify damage severity of trusses.”
Co‐evolutionary algorithm for structural damage identification using minimal physical testing (2007, methodology): “Chou and Ghaboussi [5] demonstrated that damage identification in truss structures becomes more difficult when elements are connected at a node and only a limited number of degrees of freedom are measured.”