RICRI Research Seminar: A Multi-Scale Study from Low-Carbon Seismic Structures to City-Wide Disaster Simulation

Climate change is intensifying the frequency and severity of extreme weather events, including typhoons and floods, posing unprecedented challenges to urban infrastructure systems globally. To mitigate these impacts and reduce carbon emissions at source, this study introduces a dual-scale resilience enhancement framework. At the structural level, the adoption of high-strength and conventional steel hybrid section is proposed. This approach not only improves seismic resilience and structural performance, but also significantly reduces steel consumption and associated carbon emissions during manufacturing. At the urban scale, the research addresses critical gaps in conventional risk assessment methodologies, such as low spatiotemporal resolution in hazard modelling and limited capabilities in simulating physical damage and cross-system cascading failures. Key innovations include: (1) enhanced high-resolution simulation of extreme weather events and earthquakes in complex urban environments; (2) physics-informed AI surrogate models for rapid infrastructure damage prediction; and (3) a generative AI framework that visualises real-time damage and simulates cascading effects across interconnected urban systems. These advancements provide actionable insights for optimising resilience strategies, including critical infrastructure reinforcement and climate-adaptive urban planning.