[HTML][HTML] 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 …
ensuring the sustainability and serviceability of large and complex structures. To design an …
A review of active structural control: challenges for engineering informatics
S Korkmaz - Computers & Structures, 2011 - Elsevier
An active structure is an engineering structure containing sensors and actuators that, when
active, modify the response of the structure to its environment. Research into active structural …
active, modify the response of the structure to its environment. Research into active structural …
Computer vision-based concrete crack detection using U-net fully convolutional networks
For the first time, U-Net is adopted to detect the concrete cracks in the present study. Focal
loss function is selected as the evaluation function, and the Adam algorithm is applied for …
loss function is selected as the evaluation function, and the Adam algorithm is applied for …
Deep learning‐based crack damage detection using convolutional neural networks
A number of image processing techniques (IPTs) have been implemented for detecting civil
infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs …
infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs …
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Surface cracks on the concrete structures are a key indicator of structural safety and
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis
This paper presents an effective method for crack identification to improve the training of
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm
An inverse algorithm based on Proper Orthogonal Decomposition (POD) and Radial Basis
Functions (RBF) for single and multiple cracks identification in plate structures is presented …
Functions (RBF) for single and multiple cracks identification in plate structures is presented …
A computational approach for crack identification in plate structures using XFEM, XIGA, PSO and Jaya algorithm
In this paper, a creative and intelligent approach based on an inverse problem that
accurately predicts crack location in plate structures is presented. The eXtended Finite …
accurately predicts crack location in plate structures is presented. The eXtended Finite …
An efficient two-step damage identification method using sunflower optimization algorithm and mode shape curvature (MSDBI–SFO)
GF Gomes, RS Giovani - Engineering with Computers, 2022 - Springer
Laminated composite structures performance and behavior can be affected by damage that
is not always visible on the surface. The need to monitor the health of these structures has …
is not always visible on the surface. The need to monitor the health of these structures has …
Structure defect detection using machine learning algorithms
Abstract Structure defect detection is performed using computer-implemented arrangements
employing machine learning algorithms in the form of neural networks. In one arrangement …
employing machine learning algorithms in the form of neural networks. In one arrangement …