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Discrete Structural Design Synthesis: A Hierarchical-Inspired Deep Reinforcement Learning Approach Considering Topological and Parametric Actions
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Structural design synthesis considering discrete elements can be formulated as a sequential decision process solved using deep reinforcement learning, as shown in prior work. By modeling structural design synthesis as a ...
Quantifying the Shape of Pareto Fronts During Multi-Objective Trade Space Exploration
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Recent advances in simulation and computation capabilities have enabled designers to model increasingly complex engineering problems, taking into account many dimensions, or objectives, in the problem formulation. Increasing ...
Probabilistic Assessment of the Life-Cycle Environmental Performance and Functional Life of Buildings due to Seismic Events
Publisher: American Society of Civil Engineers
Abstract: Quantifying the environmental impacts of buildings is a key step in realizing resilient and sustainable buildings. Buildings are vulnerable to natural hazards during their functional life, and the structural performance ...