A robust optimization for damage detection using multiobjective genetic algorithm, neural network and fuzzy decision making

PSL Alexandrino, GF Gomes… - Inverse Problems in …, 2020 - Taylor & Francis
An inverse problem of damage identification and localization in a structure is modelled as a
robust optimization problem. In the robust optimization problem, the optimum value and …

Data mining based damage identification using imperialist competitive algorithm and artificial neural network

M Gordan, HA Razak, Z Ismail… - Latin American Journal of …, 2018 - SciELO Brasil
Currently, visual inspections for damage identification of structures are broadly used.
However, they have two main drawbacks; time limitation and qualified manpower …

[PDF][PDF] Optimization-based method for structural damage detection with consideration of uncertainties-a comparative study

R Ghiasi, MR Ghasemi - Smart Struct. Syst, 2018 - researchgate.net
In this paper, for efficiently reducing the computational cost of the model updating during the
optimization process of damage detection, the structural response is evaluated using …

Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors

R Perera, SE Fang, A Ruiz - Meccanica, 2010 - Springer
Structural health monitoring has become an important research topic in conjunction with the
damage assessment of structures. The use of system identification approaches for damage …

Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis

RS He, SF Hwang - Engineering Applications of Artificial Intelligence, 2007 - Elsevier
For damage detection, a hybrid technique consisting of two strategies is proposed. First,
grey relation analysis is used to exclude the impossible damage locations such that the …

A powerful Lichtenberg Optimization Algorithm: A damage identification case study

JLJ Pereira, MB Francisco, SS da Cunha Jr… - … Applications of Artificial …, 2021 - Elsevier
Optimization is an essential tool to minimize or maximize functions, obtaining optimal results
on costs, mass, energy, gains, among others. Actual problems may be multimodal …

Study of structural damage detection with multi-objective function genetic algorithms

H Liu, K Xin, Q Qi - Procedia Engineering, 2011 - Elsevier
Genetic algorithms applied to structural damage detection have broad application prospects.
Based on the traditional genetic algorithms, this paper conducts the improvement research …

Structural damage detection with different objective functions in noisy conditions using an evolutionary algorithm

F Shabbir, MI Khan, N Ahmad, MF Tahir, N Ejaz… - Applied Sciences, 2017 - mdpi.com
Dynamic properties such as natural frequencies and mode shapes are directly affected by
damage in structures. In this paper, changes in natural frequencies and mode shapes were …

A New Damage Detection Method: Big Bang‐Big Crunch (BB‐BC) Algorithm

Z Tabrizian, E Afshari, GG Amiri… - Shock and …, 2013 - Wiley Online Library
The present paper aims to explore damage assessment methodology based on the changes
in dynamic parameters properties of vibration of a structural system. The finite‐element …

[HTML][HTML] Enhanced damage detection for noisy input signals using improved reptile search algorithm and data analytics techniques

S Hassani, U Dackermann, M Mousavi, J Li - Computers & Structures, 2024 - Elsevier
The sensitivity of structural health monitoring systems to environmental and operational
conditions poses a significant challenge due to their inherent susceptibility to outliers. This …