Enhanced Resilience Assessment of Airport Pavement Networks Using Integrated Network Analysis and Simulation Techniques

The efficiency and security of aviation transport rely heavily on airport pavement networks. Unfortunately, natural calamities, operational overloads, and maintenance flaws might jeopardize the long-term effectiveness and resilience of these systems. Traditional pavement management systems, which primarily focus on structural performance or maintenance schedules, frequently overlook the entire resilience component, which includes system recovery, redundancy, and robustness. Current methods do not take a network-centric approach that considers how a breakdown in one region affects the overall operation of the Thus network. This paper presents a comprehensive strategy for assessing the adaptability and durability of airport pavement networks, combining graph-theoretic related analysis with resilience measurement, simulation-based disruption modeling, and other methodologies. Important resilience characteristics such as recovery time, network performance deterioration, and connectivity loss are examined in the context of risk simulation. The suggested model is compared to three current resilience evaluation systems: TSIM, SABM, and FRAM. The experimental results show that the proposed technique leads to a more precise and comprehensive understanding of resilience effects. Under simulated floods and traffic overload scenarios, it enhanced network performance by 15%, reduced average recovery time by 17%, and increased significant node identification by 23% over current models.