A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Realistic Fire Resistance Evaluation in the Context of Autonomous Infrastructure
For decades, the community of fire safety engineers have been dedicated to applying appropriate measures to improve the fire resistance of modern structures. However, estimation of structural resilience in fires is almost narrowed down to the practice of using standard fire curve and prescriptive design (i.e., applying fire protection simply according to the rate of fire resistance). Even with the recent spread of performance-based design (PBD) approaches within the fire safety community, the tools for and understanding of structural fire engineering still lag severely behind. In the 1990s, the ground-breaking Cardington fire tests have demonstrated the significance of investigating system-level responses in evaluating the fire resistance, from which the floor system was found to survive in a post-flashover fire through a tensile membrane action. A similar breakthrough was made after rigorous investigations on the tragic collapse of World Trade Center (WTC) buildings on September 11, 2001, which, by contrast, has shown the system-level vulnerability of modern designed structures. Had the towers not been hit by the aircraft and only set on fire, comprehensive investigations showed that they would have still collapsed. With the decades of research, many fundamental mechanisms of structural behaviour in fires have been identified. The advance of modern technologies and techniques has been utilised in understanding the structural behaviour in fires and ultimately preventing the fire induced failure and collapse. This chapter begins with a brief introduction of these fire induced collapses to underline the complexity of fire–structure interaction analyses, which is followed by a summary of the latest established design fire scenarios and structural failure mechanisms. While highlighting visionary application of autonomous infrastructure in evaluating structural fire resistance, smart technologies such as artificial intelligence (AI) have been summarised in the context of predicting fire behaviour and structural responses. As a pioneering attempt to investigate the collapse criteria for early warning, the tests in Sichuan Fire Research Institute (SCFRI) are presented to demonstrate the use of advanced technologies to monitor the critical events leading to fire induced structural collapse. At the end of this chapter, the prospect of future structural fire resistance evaluation is discussed, while such a vision will always focus on improving the safety performance of built environment considering fire threats.
Realistic Fire Resistance Evaluation in the Context of Autonomous Infrastructure
For decades, the community of fire safety engineers have been dedicated to applying appropriate measures to improve the fire resistance of modern structures. However, estimation of structural resilience in fires is almost narrowed down to the practice of using standard fire curve and prescriptive design (i.e., applying fire protection simply according to the rate of fire resistance). Even with the recent spread of performance-based design (PBD) approaches within the fire safety community, the tools for and understanding of structural fire engineering still lag severely behind. In the 1990s, the ground-breaking Cardington fire tests have demonstrated the significance of investigating system-level responses in evaluating the fire resistance, from which the floor system was found to survive in a post-flashover fire through a tensile membrane action. A similar breakthrough was made after rigorous investigations on the tragic collapse of World Trade Center (WTC) buildings on September 11, 2001, which, by contrast, has shown the system-level vulnerability of modern designed structures. Had the towers not been hit by the aircraft and only set on fire, comprehensive investigations showed that they would have still collapsed. With the decades of research, many fundamental mechanisms of structural behaviour in fires have been identified. The advance of modern technologies and techniques has been utilised in understanding the structural behaviour in fires and ultimately preventing the fire induced failure and collapse. This chapter begins with a brief introduction of these fire induced collapses to underline the complexity of fire–structure interaction analyses, which is followed by a summary of the latest established design fire scenarios and structural failure mechanisms. While highlighting visionary application of autonomous infrastructure in evaluating structural fire resistance, smart technologies such as artificial intelligence (AI) have been summarised in the context of predicting fire behaviour and structural responses. As a pioneering attempt to investigate the collapse criteria for early warning, the tests in Sichuan Fire Research Institute (SCFRI) are presented to demonstrate the use of advanced technologies to monitor the critical events leading to fire induced structural collapse. At the end of this chapter, the prospect of future structural fire resistance evaluation is discussed, while such a vision will always focus on improving the safety performance of built environment considering fire threats.
Realistic Fire Resistance Evaluation in the Context of Autonomous Infrastructure
Naser, MZ (editor) / Corbett, Glenn (editor) / Jiang, Liming (author) / Wu, Xiqiang (author) / Jiang, Yaqiang (author)
Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures ; Chapter: 13 ; 305-337
2022-06-28
33 pages
Article/Chapter (Book)
Electronic Resource
English
Autonomous Fire Resistance Evaluation
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