AI-POWEREDEARTHQUAKERESILIENCE:PREDICTIVEMODELING ANDDESIGNOPTIMIZATIONFORSEISMIC-RESISTANTSTRUCTURES

Abstract

Infrastructure is seriously threatened by
 earthquakes, thus sophisticated resilience
 measures are required. This study investigates
 design optimization for seismic-resistant
 buildings and predictive modeling driven by
 AI. The research improves structural
 performance evaluation and failure prediction
 by combining deep learning, finite element
 analysis,
 and
 Artificial
 real-time
 intelligence
 sensor
 data.
 (AI)-powered
 simulations minimize seismic effect by
 optimizing damping systems, reinforcement
 patterns, and material choices. Through the
 facilitation of proactive decision-making and
 cost-effective robust designs, the proposed
 framework seeks to transform earthquake
 engineering.