A life-cycle optimization framework for deteriorating infrastructure under hazards is formulated as an MDP with a Kronecker-factored tensor method that reduces computational complexity from exponential to linear while preserving exact dynamic programming solutions.
Correlation model for spatially dis- tributed ground-motion intensities.Earthquake Engineering & Structural Dynamics, 38(15):1687–1708, 12 2009
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Urban structural damage shows phase transitions and critical regimes via a random-field Ising model, with common modeling practices biasing risk metrics by up to 50% under moderate earthquakes.
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Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems
A life-cycle optimization framework for deteriorating infrastructure under hazards is formulated as an MDP with a Kronecker-factored tensor method that reduces computational complexity from exponential to linear while preserving exact dynamic programming solutions.
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Phase Transitions in Collective Damage of Civil Structures under Natural Hazards
Urban structural damage shows phase transitions and critical regimes via a random-field Ising model, with common modeling practices biasing risk metrics by up to 50% under moderate earthquakes.