Bayesian methods for updating dynamic models
Abstract Model updating of dynamical systems has been attracting much attention because it
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …
Damage detection of truss bridge joints using artificial neural networks
M Mehrjoo, N Khaji, H Moharrami… - Expert systems with …, 2008 - Elsevier
Recent developments in Artificial Neural Networks (ANNs) have opened up new possibilities
in the domain of inverse problems. For inverse problems like structural identification of large …
in the domain of inverse problems. For inverse problems like structural identification of large …
An hybrid real genetic algorithm to detect structural damage using modal properties
V Meruane, W Heylen - Mechanical systems and signal processing, 2011 - Elsevier
An hybrid real-coded Genetic Algorithm with damage penalization is implemented to locate
and quantify structural damage. Genetic Algorithms provide a powerful tool to solved …
and quantify structural damage. Genetic Algorithms provide a powerful tool to solved …
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification
In this paper, the transient dynamic response of shear type multi-storey buildings subjected
to earthquake ground motion is generated via adversarial learning technique under different …
to earthquake ground motion is generated via adversarial learning technique under different …
Structural damage detection via modal data with genetic algorithms
R Perera, R Torres - Journal of Structural Engineering, 2006 - ascelibrary.org
This paper presents a nondestructive global damage detection and assessment
methodology based on the changes in frequencies and mode shapes of vibration of a …
methodology based on the changes in frequencies and mode shapes of vibration of a …
A hybrid optimization algorithm with Bayesian inference for probabilistic model updating
A hybrid optimization methodology is presented for the probabilistic finite element model
updating of structural systems. The model updating process is formulated as an inverse …
updating of structural systems. The model updating process is formulated as an inverse …
Automated finite element model updating of a scale bridge model using measured static and modal test data
Abstract Structural Health Monitoring (SHM) using nondestructive test data has become
promising for finite element (FE) model updating, model verification, structural evaluation …
promising for finite element (FE) model updating, model verification, structural evaluation …
Computational monitoring in real time: review of methods and applications
Continuous monitoring of mechanical parameters determining the state of natural and man-
made systems is essential in a wide range of engineering disciplines from mechanical to …
made systems is essential in a wide range of engineering disciplines from mechanical to …
Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements
A modified real‐coded genetic algorithm to identify the parameters of large structural
systems subject to the dynamic loads is presented in this article. The proposed algorithm …
systems subject to the dynamic loads is presented in this article. The proposed algorithm …
Identification of structural models using a modified Artificial Bee Colony algorithm
A modified version of the Artificial Bee Colony (ABC) algorithm is presented to identify
structural systems. ABC is a heuristic algorithm with simple structure, ease of implementation …
structural systems. ABC is a heuristic algorithm with simple structure, ease of implementation …