Abstract
The world has witnessed an alarmingly increasing number of serious natural hazards. In the aftermath of a hazard, relevant authorities/agencies face, among others, the challenging tasks of rapidly evaluating and assessing the damages to infrastructures and restoring their essential functionality and operation. The availability of reliable, high-quality structural and operational/maintenance data of a structure and its health, before and after a natural hazard, can be instrumental in the rapid assessment of a damaged structure. We collectively refer, in this paper, to the existing as-built and facility operational information about a structure or an infrastructure asset represented respectively in Building Information Modeling (BIM) and Infrastructure Asset Management (IAM) systems as Product Lifecycle Data (PLD). Arguably, PLD combined with other post-hazard condition assessment data can provide a more reliable and integrated solution for a rapid damage assessment of buildings and other critical infrastructures. Unfortunately, the application of PLD in this critical area has been unexplored in the literature, and the mapping between PLD and damage assessment methods is loosely investigated. In an effort to address this research gap, this paper provides a critical analysis of the most common structural damage assessment methods and explores the potential of combining them with PLD to provide more reliable, comprehensive, and integrated solution for damage assessment. Findings from this study could be useful for practitioners in selecting the most appropriate and effective methods to conduct damage and safety assessments of critical infrastructures. The study will also assist the further theoretical developments in the integration of PLD with different damage assessment methods.
Highlights
In the last two decades, the world has witnessed an alarmingly increasing number of serious natural hazards such as typhoons, floods, tsunamis, hurricanes, and earthquakes
This research contributes to providing a critical review of the damage assessment methods and identifying the supporting Product Lifecycle Data (PLD) data and information, which will be of great assistance to help practitioners in selecting an appropriate method or technique for damage assessment
The most common distant assessment methods that are applicable to rapid post-hazard damage assessments include the use of images using satellite, unmanned aerial vehicles and terrestrial laser scanning
Summary
In the last two decades, the world has witnessed an alarmingly increasing number of serious natural hazards such as typhoons, floods, tsunamis, hurricanes, and earthquakes. The availability of reliable and high-quality data of an infrastructure asset, both before and after a natural hazard, can be extremely useful to assist with critical decision-making processes It is a very costly and cumbersome task to collect reliable, high-quality data of a structure, including the information about structural conditions and service records. In the aftermath of natural hazards, both time and resources are extremely constrained This means that there are significant challenges for collecting rich information about a structure to support the rapid structural damage assessment. This research contributes to providing a critical review of the damage assessment methods and identifying the supporting PLD data and information, which will be of great assistance to help practitioners in selecting an appropriate method or technique for damage assessment. It will provide further theoretical developments on the possible integration of PLD and the damage assessment methods
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