The resilience-based systemic safety analysis paradigm offers a scientific and
practical approach to managing the operational safety of modern highway
tunnels. To gain a deeper understanding of resilience, the authors review
advancements in resilience research across various engineering disciplines
globally and distill two key insights: (1) resilience is a comprehensive
capability that emphasizes performance throughout the entire process, and (2)
it comprises distinct attributes, namely robustness, redundancy, resource
adequacy, and rapid response. Recognizing the limitations of traditional risk
analysis methods in the context of highway tunnel operations, the study
underscores the necessity and value of incorporating resilience into safety
management frameworks. Operational resilience in highway tunnels is defined as
"the ability to prevent, resist, adapt to, and recover from actual or
potential disruptions that may hinder the normal operation and traffic flow of
highway tunnels". Furthermore, the concepts of full-stage performance, dynamic evolution, and objective quantification
are analyzed, leading to the development of a preliminary conceptual framework.
To enhance tunnel operational resilience, a strategy is proposed based on four
functions: perception, response, learning, and prediction, along with
preliminary measures to enhance resilience. In particular, in addressing fire
risk, intelligent technologies and systems are highlighted, including advanced
fire detection, fire prediction tools, and flexible entry-blocking mechanisms for tunnels. Future research on highway tunnel
operational resilience is expected to deepen, providing practical guidance and
promoting the scientific and systematic development of tunnel safety
management. The ultimate goal is to create a safer, more efficient, and
sustainable tunnel operation system through the establishment of a
comprehensive theoretical framework.
DING Hao
,
DENG Shiqiang
,
LIU Shuai
,
LI Wenfeng
,
CHEN Juntao
. Advances in Operation
Resilience of Highway Tunnels[J]. Tunnel Construction, 2024
, 44(9)
: 1723
-1735
.
DOI: 10.3973/j.issn.2096-4498.2024.09.001
