A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
In recent years, many innovative optimization algorithms have been developed. These
algorithms have been employed to solve structural damage detection problems as an …
algorithms have been employed to solve structural damage detection problems as an …
Review on the theories and applications of dynamic condensation and component mode synthesis methods in solving FEM-based structural dynamics
Y Sun, Y Lu, Z Song - Acta Mechanica Solida Sinica, 2023 - Springer
The rapid development of modern science, technology, and industrialization has promoted
the birth of more large and complex engineering structures. When the finite element (FE) …
the birth of more large and complex engineering structures. When the finite element (FE) …
Finite element model updating and damage identification using semi-rigidly connected frame element and optimization procedure: An experimental validation
Owing to ever-increasing complexity of engineering structures, develo** a methodology
for the early detection of defects has become crucial to ensure their long-term safety and …
for the early detection of defects has become crucial to ensure their long-term safety and …
Inverse problem for dynamic structural health monitoring based on slime mould algorithm
In this paper, damage detection, localization and quantification are performed using modal
strain energy change ratio (MSEcr) as damage indicator combined with a new optimization …
strain energy change ratio (MSEcr) as damage indicator combined with a new optimization …
Model-informed deep learning strategy with vision measurement for damage identification of truss structures
Structural damage identification approaches can be divided into two categories, ie data-
driven approaches via statistical pattern recognition and model-based approaches via finite …
driven approaches via statistical pattern recognition and model-based approaches via finite …
The application of PSO in structural damage detection: An analysis of the previously released publications (2005–2020)
The structural health monitoring (SHM) approach plays a key role not only in structural
engineering but also in other various engineering disciplines by evaluating the safety and …
engineering but also in other various engineering disciplines by evaluating the safety and …
Multiverse optimizer for structural damage detection: Numerical study and experimental validation
New optimization algorithms have been increasingly developed in the course of the recent
years. The accuracy of identified results in optimization‐based damage detection methods …
years. The accuracy of identified results in optimization‐based damage detection methods …
Advancing structural integrity prediction with optimized neural network and vibration analysis
Detecting and locating damage is a crucial endeavor within the field of structural integrity.
While Artificial Neural Networks (ANNs) have shown promise in this regard, they have …
While Artificial Neural Networks (ANNs) have shown promise in this regard, they have …
A two-stage Bayesian model updating framework based on an iterative model reduction technique using modal responses
A two-stage Bayesian model updating framework based on an affine-invariance sampling in
Transitional Markov Chain Monte Carlo (TMCMC) algorithm is proposed. In the first stage …
Transitional Markov Chain Monte Carlo (TMCMC) algorithm is proposed. In the first stage …
Efficiency of the slime mold algorithm for damage detection of large‐scale structures
Optimization‐based methods are increasingly being implemented for structural damage
detection problems through the minimization of the objective functions based on vibration …
detection problems through the minimization of the objective functions based on vibration …