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A review on recent developments in vibration-based damage identification methods for laminated composite structures: 2010–2022
Laminated composites received great attention in the structural applications due to
innumerable advantages over conventional materials. These structures are subjected to …
innumerable advantages over conventional materials. These structures are subjected to …
A review of vibration based inverse methods for damage detection and identification in mechanical structures using optimization algorithms and ANN
GF Gomes, YAD Mendez… - … methods in engineering, 2019 - Springer
Abstract The Structural Health Monitoring (SHM) technique is today the principle approach
to manage the discovery and recognizable proof of damage in the most various designing …
to manage the discovery and recognizable proof of damage in the most various designing …
[HTML][HTML] Characterization of viscoelastic dam** mechanism in a delaminated structure
This work aims to examine modal dam** behavior in a delaminated viscoelastic structure.
A numerical assessment of a viscoelastic delaminated structure using one-dimensional …
A numerical assessment of a viscoelastic delaminated structure using one-dimensional …
Delamination identification in sandwich composite structures using machine learning techniques
ID Viotti, GF Gomes - Computers & Structures, 2023 - Elsevier
Recent advances in machine learning have enabled powerful strategies for autonomous
data-driven damage detection and identification in structural systems. This work proposes a …
data-driven damage detection and identification in structural systems. This work proposes a …
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 …
Augmented deep neural network architecture for assessing damage severity in 3D concrete buildings under temperature fluctuations based on K-means optimization
This research paper introduces a novel approach for forecasting the severity of damage in
column elements within a complex 3D concrete structure. The paper presents two innovative …
column elements within a complex 3D concrete structure. The paper presents two innovative …
Guided water strider algorithm for structural damage detection using incomplete modal data
Over the last decades, metaheuristic algorithms have become versatile tools for solving
various engineering optimization problems. That is why their application for structural …
various engineering optimization problems. That is why their application for structural …
Optimization techniques for damage detection of composite structure: A review
NP Raut, AB Kolekar, SL Gombi - Materials Today: Proceedings, 2021 - Elsevier
Majority of the aerospace components are made up of composite materials. The composite
materials are prone to damage especially low velocity impacts which lead to loss of …
materials are prone to damage especially low velocity impacts which lead to loss of …
Modal parameter based inverse approach for structural joint damage assessment using unified particle swarm optimization
Joint damage constitutes a significant form of damage in particular, in the beam-to-column
connection in a steel frame structure. However, it is identified that except only a few neural …
connection in a steel frame structure. However, it is identified that except only a few neural …
A multistage damage detection approach using graph theory and water strider algorithm
Structures usually suffer from natural or artificial damages that might result in shortening
their service life and even triggering their collapse. Therefore, vibrational damage detection …
their service life and even triggering their collapse. Therefore, vibrational damage detection …