6 Structural health monitoring of steel plates using modified modal strain energy indicator and optimization algorithms
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S. Tiachacht
Abstract
Assessing structural damage in plate structures is a critical issue in various engineering fields such as mechanical and civil engineering. In this paper, an efficient approach based on a modified modal strain energy (MSE) indicator, combined with robust optimization algorithms, is proposed to accurately detect, locate, and quantify structural damage in a square plate structure. A finite element model is built in MATLAB software, and the damage is simulated by element stiffness reduction. This approach precisely identifies single and multiple damages by incorporating frequency response in the MSE method. An optimization problem is then formulated using an objective function based on the modified indicator to determine the extent of the damage. The approach is evaluated using three optimization algorithms: Snake optimization, marine predators algorithm, and moth flame optimizer (MFO). Results show that the approach accurately locates and quantifies damage in all examined cases. The MFO algorithm yields superior outcomes in terms of convergence, CPU time, and accuracy of damage extent.
Abstract
Assessing structural damage in plate structures is a critical issue in various engineering fields such as mechanical and civil engineering. In this paper, an efficient approach based on a modified modal strain energy (MSE) indicator, combined with robust optimization algorithms, is proposed to accurately detect, locate, and quantify structural damage in a square plate structure. A finite element model is built in MATLAB software, and the damage is simulated by element stiffness reduction. This approach precisely identifies single and multiple damages by incorporating frequency response in the MSE method. An optimization problem is then formulated using an objective function based on the modified indicator to determine the extent of the damage. The approach is evaluated using three optimization algorithms: Snake optimization, marine predators algorithm, and moth flame optimizer (MFO). Results show that the approach accurately locates and quantifies damage in all examined cases. The MFO algorithm yields superior outcomes in terms of convergence, CPU time, and accuracy of damage extent.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- Editors’ short biography IX
- 1 Seismic site investigation and structural amplification based on geotechnical and structural health monitoring 1
- 2 Impact of industry 4.0 technologies on structural health monitoring 29
- 3 Health monitoring of recycled aggregates-reinforced concrete beams retrofitted by concrete jacket using piezoelectric transducers 63
- 4 Identification of critical response of bilinear-hysteretic SDOF model with tuned inertial mass damper under long-duration ground motion through internal simulation monitoring 79
- 5 Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors 101
- 6 Structural health monitoring of steel plates using modified modal strain energy indicator and optimization algorithms 125
- 7 Vibration-based damage detection using a novel hybrid CNN-SVM approach 137
- 8 Fast probabilistic damage detection using inverse surrogate models 159
- 9 Remote sensing techniques for post-disaster infrastructure health monitoring 197
- 10 Recent developments in the building information modeling-based programs used for structural and architectural purposes 215
- 11 Evaluating the current state of digitalisation of the UK construction industry 237
- Index 259
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- Editors’ short biography IX
- 1 Seismic site investigation and structural amplification based on geotechnical and structural health monitoring 1
- 2 Impact of industry 4.0 technologies on structural health monitoring 29
- 3 Health monitoring of recycled aggregates-reinforced concrete beams retrofitted by concrete jacket using piezoelectric transducers 63
- 4 Identification of critical response of bilinear-hysteretic SDOF model with tuned inertial mass damper under long-duration ground motion through internal simulation monitoring 79
- 5 Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors 101
- 6 Structural health monitoring of steel plates using modified modal strain energy indicator and optimization algorithms 125
- 7 Vibration-based damage detection using a novel hybrid CNN-SVM approach 137
- 8 Fast probabilistic damage detection using inverse surrogate models 159
- 9 Remote sensing techniques for post-disaster infrastructure health monitoring 197
- 10 Recent developments in the building information modeling-based programs used for structural and architectural purposes 215
- 11 Evaluating the current state of digitalisation of the UK construction industry 237
- Index 259
