A systematic review of optimization algorithms for structural health monitoring and optimal sensor placement

S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
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 …

Computational methodologies for optimal sensor placement in structural health monitoring: A review

Y Tan, L Zhang - Structural Health Monitoring, 2020 - journals.sagepub.com
Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …

Structural dynamic response reconstruction using self-attention enhanced generative adversarial networks

G Fan, Z He, J Li - Engineering Structures, 2023 - Elsevier
In structural health monitoring (SHM) of civil engineering structures, loss of measured
structural responses inevitably occurs in practice, especially when structures encounter …

Constructing simplified models for dynamic analysis of monopile-supported offshore wind turbines

J Liang, B Kato, Y Wang - Ocean Engineering, 2023 - Elsevier
Accurately modeling the complicated dynamic mechanisms of offshore wind turbines
(OWTs) requires high numerical fidelity. However, since these models are computationally …

Optimal sensor placement in structural health monitoring using discrete optimization

H Sun, O Büyüköztürk - Smart Materials and Structures, 2015 - iopscience.iop.org
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) …

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 …

Efficient Bayesian inference for finite element model updating with surrogate modeling techniques

Q Li, X Du, P Ni, Q Han, K Xu, Z Yuan - Journal of Civil Structural Health …, 2024 - Springer
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 …

Real‐time system identification: an algorithm for simultaneous model class selection and parametric identification

KV Yuen, HQ Mu - Computer‐Aided Civil and Infrastructure …, 2015 - Wiley Online Library
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 …

Time-domain structural model updating following the Bayesian approach in the absence of system input information

HF Lam, ZY Fu, MO Adeagbo, JH Yang - Engineering Structures, 2024 - Elsevier
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 …

Efficiency of the slime mold algorithm for damage detection of large‐scale structures

P Ghannadi, SS Kourehli - The Structural Design of Tall and …, 2022 - Wiley Online Library
Optimization‐based methods are increasingly being implemented for structural damage
detection problems through the minimization of the objective functions based on vibration …