Infrastructure damage is meaningful through its consequences for communities:
service disruption, reduced accessibility, economic loss, and delayed recovery.
DM2L links physics-based damage models to functionality and recovery metrics
to support hazard-informed planning and resilience decision-making.

Core Research Focus

• Resilience metrics linking damage → functionality → recovery
• Recovery trajectory and restoration curve modeling
• Scenario-based planning for mitigation and adaptation
• Integration of lifeline disruptions and interdependency effects
• Decision support for infrastructure portfolios and communities

What Has Been Done

• Developed vulnerability and resilience assessment approaches for coastal communities under hurricane hazards
• Quantified sensitivity of community impacts to hazard interactions and infrastructure damage mechanisms
• Advanced frameworks that connect component-scale failure to community-scale outcomes

What We Are Doing Now

• Developing community-scale performance and recovery modeling with lifeline constraints
• Integrating cascading impacts from power–transportation interdependencies
• Building scalable evaluation tools for comparing mitigation and hardening scenarios

Strategic Plan

1. Develop decision-ready resilience indicators and dashboard-ready outputs
2. Enable recovery modeling that accounts for constrained resources and access limitations
3. Support mitigation planning with cost-effective strategy evaluation
4. Translate technical outputs into actionable guidance for planners and agencies

How This Connects

Community resilience synthesizes results from multi-hazard mechanics, lifeline resilience, and interdependency
modeling to deliver holistic, decision-ready assessments and planning insights.

Figure (TBA)