Cross-entropy optimization has recently been applied to the damage detection in structures subject to static loading. The optimization procedure minimizes the error between the measured deflection data and theoretical deflection data obtained from artificially generated finite element models based on assumed statistical distributions of stiffness for each discretized element. Following a number of iterations, the finite element model with stiffness properties producing deflections closer to reality is established as the mathematical model closest to the true structure. However, while previous testing of the algorithm has been relatively successful, it has been limited to theoretical simulations. Therefore, this paper conducts lab experiment...
A damage detection algorithm and procedure is presented in this dissertation that utilizes static re...
Artículo de publicación ISISupervised learning algorithms have been proposed as a suitable alternati...
In this study, the performance of stochastic optimization techniques in the finite element model upd...
10th International Conference on Damage Assessment of Structures (DAMAS 2013), Dublin, Ireland 8-10 ...
This paper presents a novel approach for structural damage detection. The cross-entropy method is us...
The Tenth International Conference on Computational Structures Technology, CST2010, Valencia, Spain,...
Bridge & Infrastructure Research in Ireland 2010, Cork Institute of Technology, September 2010This p...
This paper examines the use of the cross-entropy (CE) method to estimate the structural parameters o...
A probabilistic damage identification method for shear structure components is presented. The method...
This paper presents a new method that can locate and quantify damage in Euler-Bernoulli beams from c...
International audienceThe identification of physical parameters in a computational model is a crucia...
The paper presents two computational inverse procedures for reconstructing the stiffness distributio...
11th International Conference on Structural Safety and Reliability (ICOSSAR 2013), Columbia Universi...
In this paper, a structural health monitoring (SHM) system based on multi-scale cross-sample entropy...
This article presents theoretical background, computational implementation and numerical application...
A damage detection algorithm and procedure is presented in this dissertation that utilizes static re...
Artículo de publicación ISISupervised learning algorithms have been proposed as a suitable alternati...
In this study, the performance of stochastic optimization techniques in the finite element model upd...
10th International Conference on Damage Assessment of Structures (DAMAS 2013), Dublin, Ireland 8-10 ...
This paper presents a novel approach for structural damage detection. The cross-entropy method is us...
The Tenth International Conference on Computational Structures Technology, CST2010, Valencia, Spain,...
Bridge & Infrastructure Research in Ireland 2010, Cork Institute of Technology, September 2010This p...
This paper examines the use of the cross-entropy (CE) method to estimate the structural parameters o...
A probabilistic damage identification method for shear structure components is presented. The method...
This paper presents a new method that can locate and quantify damage in Euler-Bernoulli beams from c...
International audienceThe identification of physical parameters in a computational model is a crucia...
The paper presents two computational inverse procedures for reconstructing the stiffness distributio...
11th International Conference on Structural Safety and Reliability (ICOSSAR 2013), Columbia Universi...
In this paper, a structural health monitoring (SHM) system based on multi-scale cross-sample entropy...
This article presents theoretical background, computational implementation and numerical application...
A damage detection algorithm and procedure is presented in this dissertation that utilizes static re...
Artículo de publicación ISISupervised learning algorithms have been proposed as a suitable alternati...
In this study, the performance of stochastic optimization techniques in the finite element model upd...