Reliability-based optimization of offshore jacket platforms with tuned mass damper inerter using support vector regression

Numerous studies have been conducted to enhance the performance of offshore jacket platform (OJP) using tuned mass damper (TMD) by primarily increasing only its mass ratio. Due to its substantial mass and significant space requirement, it becomes not only uneconomical but also poses challenges for practical implementation. This can be overcome by using tuned mass inerter (TMDI) device, which enhances the efficiency of the device with reduced mass due to its mass amplification effect. This study performs optimization of OJP subjected to random wave loads using TMDI utilizing genetic algorithm. Moreover, uncertainties in the system parameters may significantly alterthe structural responses and reducesafety. Thus, deterministic optimization alone is insuffiient. Hence, this study further investigates the reliability-based optimization of the same using support vector regression-assisted Monte Carlo simulation technique. Significant improvement in response and reliability of the OJP is noticed using TMDI compared to only TMD system.