Current position: Home >> Scientific Research >> Paper Publications

Machine learning-based surrogate resilience modeling for preliminary seismic design

Release Time:2025-01-06  Hits:

Date of Publication: 2024-11-16

Journal: Journal of Building Engineering

Volume: 98

ISSN: 2352-7102

Key Words: Adversarial machine learning; Architectural design; Contrastive Learning; Early decision; Interpretability; Lateral force resisting system; Machine-learning; Model interpretability; Nearest neighbor search; Preliminary seismic design; Random forests; Resilience assessment; Resilience model; Support vector regression; Surrogate modeling; Surrogate resilience modeling; Trees (mathematics)

Prev One:Deterioration laws of static and fatigue bond performance between rebar and concrete with initial cracks under salt-freeze conditions

Next One:新型拉压复合型锚杆锚固性能研究Ⅳ:数值模拟