2 Impact of industry 4.0 technologies on structural health monitoring
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Meisam Gordan
Abstract
Structural health monitoring (SHM) and non-destructive test (NDT) methods are significant tools in ensuring structural safety, reliability, integrity, and minimal structural maintenance. Industry 4.0 technologies, for example, Internet of things (IoT), Blockchain, Unmanned Aerial Vehicles (UAVs), and Data Mining have recently received significant interest in SHM due to their ability to improve the SHM systems in terms of performance, automation, cost-effectiveness, and safety, for example. In recent years, traditional SHM approaches have been rapidly upgraded to IoT-based, Internet of Drone (IoD)-based, and data mining-based SHM. This is due to the fact that conventional methods are limited by their high cost and non-real-time SHM. Moreover, the implementation of blockchain-based SHM as an emerging decentralized database technology has been identified for improving the security of data collection. Additionally, Wireless Sensor Networks (WSNs) are widely used in the aforementioned Industry 4.0 technologies. Therefore, IoT, blockchain, IoD, and data mining have been applied to enhance SHM strategies. In this regard, this chapter presents the most recent advanced emerging technologies employed in SHM. To this end, a brief background of these technologies is discussed in this chapter. Then, the development of these advances and current applications in SHM are presented with the aim of showing the benefits and efficiency of these technologies.
Abstract
Structural health monitoring (SHM) and non-destructive test (NDT) methods are significant tools in ensuring structural safety, reliability, integrity, and minimal structural maintenance. Industry 4.0 technologies, for example, Internet of things (IoT), Blockchain, Unmanned Aerial Vehicles (UAVs), and Data Mining have recently received significant interest in SHM due to their ability to improve the SHM systems in terms of performance, automation, cost-effectiveness, and safety, for example. In recent years, traditional SHM approaches have been rapidly upgraded to IoT-based, Internet of Drone (IoD)-based, and data mining-based SHM. This is due to the fact that conventional methods are limited by their high cost and non-real-time SHM. Moreover, the implementation of blockchain-based SHM as an emerging decentralized database technology has been identified for improving the security of data collection. Additionally, Wireless Sensor Networks (WSNs) are widely used in the aforementioned Industry 4.0 technologies. Therefore, IoT, blockchain, IoD, and data mining have been applied to enhance SHM strategies. In this regard, this chapter presents the most recent advanced emerging technologies employed in SHM. To this end, a brief background of these technologies is discussed in this chapter. Then, the development of these advances and current applications in SHM are presented with the aim of showing the benefits and efficiency of these technologies.
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
