Page 3: Research news on AI in built environment

AI in the built environment encompasses data-driven and physics-informed methods to model, predict, and optimize the performance and resilience of buildings and infrastructure. Machine learning and advanced simulation are applied to building energy use, HVAC control, and solar and wind power forecasting, as well as to hazard-related phenomena such as subsidence, floods, fire, and seismic events. The field also integrates retrofitting strategies, climate-smart housing design, and regulatory considerations to enhance energy efficiency, comfort, and disaster resilience in urban systems.

Engineering

City skylines need an upgrade in the face of climate stress

When structural engineers design a building, they aren't just stacking floors; they are calculating how to win a complex battle against nature. Every building is built to withstand a specific "budget" of environmental stress—the ...

Engineering

Why apartments are failing the heat stress test

If a heat wave hit Melbourne and the power blacked out, most apartment buildings would bake, with indoor temperatures exceeding international health standards, according to a new analysis that calls for Australia to adopt ...

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