Damage detection of truss structures using meta-heuristic algorithms and optimized group method of data handling surrogate model
M Farhadi, R Ghiasi, P Torkzadeh - Structures, 2024 - Elsevier
Optimization-based methods are increasingly being implemented for structural damage
detection (SDD) problems through the minimization of the objective functions based on …
detection (SDD) problems through the minimization of the objective functions based on …
ANN-based damage detection with two-stage approach and model reduction
X Lu, Y Zou, C Cai, X He - Structural Health Monitoring, 2024 - journals.sagepub.com
The implementation of artificial neural network (ANN) is limited in model-based damage
detection of large-scale structures. A large potential damaged area impairs the convergence …
detection of large-scale structures. A large potential damaged area impairs the convergence …
An improved generalized flexibility matrix-based damage identification technique for derrick steel structures
S Zheng, Z Li, Y Yu, Q Gao, Z Li - Journal of Vibration and …, 2024 - journals.sagepub.com
An improved generalized flexibility matrix-based method using matrix partitioning technique
for structure damage identification is proposed. As an effective damage identification …
for structure damage identification is proposed. As an effective damage identification …
Response reconstruction based on substructural condensation and modal-group superposition
Increasingly complex civil structures lead to enormous consume of computational resource
in response reconstruction, and common closely spaced modes (CSMs) also impair …
in response reconstruction, and common closely spaced modes (CSMs) also impair …
[引用][C] Overlapping Group Sparse Regularization Technique for Vibration-Based Regional Damage Detection of Structures
Z Luo, H Liu, Z Ouyang - International Journal of Structural Stability …, 2024 - World Scientific
In structural damage detection (SDD) studies, regularization techniques have shown
potential for improving ill-posedness. However, existing methods based on regularization …
potential for improving ill-posedness. However, existing methods based on regularization …