Performance enhancement of an intelligent isolation system based on deep deterministic policy gradient

Regions within the seismic zone of the pacific volcanic quadrant are highly susceptible to frequent seismic activity, posing significant threats to both human life and infrastructure. This threat is particularly critical for the high-tech industries, which are holding a substantial global market share and highly vulnerable to earthquake-induced damages. The characteristics of earthquake ground motion play a crucial role in the effectiveness of structural control systems, especially for near-fault earthquakes, where low-frequency resonance can cause significant displacement in the isolation layer. To address these challenges, this study focuses on advancement of smart structural systems through the development of an intelligent semi-active isolation system using an innovative control strategy based on artificial intelligence. Specially, the study employs the deep deterministic policy gradient (DDPG) algorithm to enhance the control of seismic isolations systems. The control modules are tailored for distinct characteristics of both near-fault and far-field seismic events, ensuring effective mitigation of seismic impacts. The results demonstrate significant enhancements in structural performance using the DDPG-based framework, showing a reduction of approximately 68.85% in isolation layer displacement during near-fault earthquakes and a 57.65% reduction in superstructure acceleration during far-field earthquakes. These outcomes affirm the effectiveness of the DDPGdriven intelligent control strategies for advancing the resilience and service life of critical infrastructures in seismically active regions, contributing to the broader fields of structural control and prognosis.