| Abstract: |
Over the past twenty-five years, significant advancements have been achieved in the fields of structural vibrations, acoustic radiation, and fluid–structure interaction (FSI). This review presents a comprehensive assessment of research developments from 2000 to 2025, focusing on methodological evolution, computational innovations, and emerging intelligent control strategies. Early contributions emphasized classical modal analysis, finite element modeling, and partitioned FSI frameworks. Between 2010 and 2020, research expanded toward strongly coupled multi-physics simulations, smart material–based vibration control, and uncertainty quantification in vibro-acoustic systems. Recent developments (2020–2025) demonstrate a paradigm shift toward artificial intelligence (AI)-driven surrogate modeling, physics-informed neural networks, high-performance computing (HPC), and digital twin applications. The review identifies key achievements, including improved numerical stability in monolithic FSI solvers, hybrid finite element–boundary element acoustic methods, and adaptive vibration suppression using smart materials. However, several challenges persist, such as computational cost in high-frequency acoustic simulations, limited interpretability of AI-based models, insufficient experimental validation, and the absence of fully integrated multi-physics digital twin frameworks. The study concludes that future research should focus on hybrid physics–AI methodologies, scalable energy-efficient computational strategies, and robust uncertainty-aware modeling to address the increasing complexity of modern engineering systems. |
