Infrastructure networks are increasingly vulnerable to natural hazards and design flaws, making resilience assessment essential. This paper presents a scenario-based framework to evaluate network vulnerability by combining local measures and topological analysis, assessing each node's role in maintaining network integrity during disruptions. The framework identifies optimization opportunities by comparing structural properties with established standards. Traffic flow is modeled using the Bureau of Public Roads (BPR) function to improve disruption resilience. A two-stage stochastic model captures uncertainties, ensuring robust network performance across diverse scenarios. The approach balances risk-neutral and risk-averse strategies, emphasizing the importance of strengthening critical nodes to prevent cascading failures. The proposed method enhances resilience by minimizing undelivered demand and optimizing overall performance under uncertainty.

翻译：基础设施网络日益受到自然灾害和设计缺陷的威胁，使得韧性评估变得至关重要。本文提出一种基于场景的框架，通过结合局部度量与拓扑分析来评估网络脆弱性，分析每个节点在中断期间维持网络完整性的作用。该框架通过比较结构特性与既定标准，识别优化机会。采用美国公路局函数对交通流进行建模，以提升中断韧性。一个两阶段随机模型捕捉不确定性，确保网络在多种场景下的稳健性能。该方法平衡了风险中性与风险规避策略，强调了加强关键节点以防止级联故障的重要性。所提出的方法通过最小化未满足需求及优化不确定性下的整体性能，增强了网络韧性。