9 Remote sensing techniques for post-disaster infrastructure health monitoring
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Saurabh Gupta
Abstract
Natural disasters can be predicted but cannot be controlled. Earthquakes, tsunamis, and cyclones are among humankind’s most catastrophic natural disasters. Disasters not only affect human life but also damage the infrastructure. Estimating infrastructure damages play a critical role in finding out the area and the amount of work that needs to be reconstructed. One of the major problems is to analyse accurate damages in buildings rapidly. Accurate destruction analysis helps engineers and planners provide a plan for rehabilitation in the affected area. This chapter discusses the different remote sensing techniques used in building damage detection. The study reviews damages due to different natural hazards and outlines the general framework for building damage detection. In this chapter, we also propose a novel approach with a framework for disaster damage monitoring using various data sources.
Abstract
Natural disasters can be predicted but cannot be controlled. Earthquakes, tsunamis, and cyclones are among humankind’s most catastrophic natural disasters. Disasters not only affect human life but also damage the infrastructure. Estimating infrastructure damages play a critical role in finding out the area and the amount of work that needs to be reconstructed. One of the major problems is to analyse accurate damages in buildings rapidly. Accurate destruction analysis helps engineers and planners provide a plan for rehabilitation in the affected area. This chapter discusses the different remote sensing techniques used in building damage detection. The study reviews damages due to different natural hazards and outlines the general framework for building damage detection. In this chapter, we also propose a novel approach with a framework for disaster damage monitoring using various data sources.
Kapitel in diesem Buch
- 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
Kapitel in diesem Buch
- 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
