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A systematic review of optimization algorithms for structural health monitoring and optimal sensor placement
In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …
ensuring the sustainability and serviceability of large and complex structures. To design an …
Computational methodologies for optimal sensor placement in structural health monitoring: A review
Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …
Structural dynamic response reconstruction using self-attention enhanced generative adversarial networks
In structural health monitoring (SHM) of civil engineering structures, loss of measured
structural responses inevitably occurs in practice, especially when structures encounter …
structural responses inevitably occurs in practice, especially when structures encounter …
Constructing simplified models for dynamic analysis of monopile-supported offshore wind turbines
Accurately modeling the complicated dynamic mechanisms of offshore wind turbines
(OWTs) requires high numerical fidelity. However, since these models are computationally …
(OWTs) requires high numerical fidelity. However, since these models are computationally …
Optimal sensor placement in structural health monitoring using discrete optimization
The objective of optimal sensor placement (OSP) is to obtain a sensor layout that gives as
much information of the dynamic system as possible in structural health monitoring (SHM) …
much information of the dynamic system as possible in structural health monitoring (SHM) …
Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach
FL Zhang, HB **ong, WX Shi… - Structural Control and …, 2016 - Wiley Online Library
The dynamic characterization of structures is essential for assessing their response when
subjected to dynamic loads in structural health monitoring. It mainly comprises the modal …
subjected to dynamic loads in structural health monitoring. It mainly comprises the modal …
Efficient Bayesian inference for finite element model updating with surrogate modeling techniques
Bayesian finite element model updating has become an important tool for structural health
monitoring. However, it takes a large amount of computational cost to update the finite …
monitoring. However, it takes a large amount of computational cost to update the finite …
Real‐time system identification: an algorithm for simultaneous model class selection and parametric identification
In this article, a novel Bayesian real‐time system identification algorithm using response
measurement is proposed for dynamical systems. In contrast to most existing structural …
measurement is proposed for dynamical systems. In contrast to most existing structural …
Time-domain structural model updating following the Bayesian approach in the absence of system input information
The modal-domain structural model updating and damage detection methods own the
advantage that they perform the whole computation without the information of system input …
advantage that they perform the whole computation without the information of system input …
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 …