Research Progress on Optimization Design Methods of Mechanical Structures

This paper presents a comprehensive review of structural optimization methods with a focus on their integration into modern engineering design. It explores key optimization techniques, including size, shape, and topology optimization, highlighting their application in various industries such as aerospace, automotive, and energy systems. The paper also delves into the latest advancements in multi-disciplinary and multi-objective optimization, leveraging intelligent algorithms such as genetic algorithms, particle swarm optimization, and machine learning. Despite significant progress, challenges remain in balancing model accuracy and computational efficiency, addressing uncertainty, and incorporating emerging technologies such as additive manufacturing and digital twins. The paper concludes with an outlook on future research directions, emphasizing the need for real-time optimization, data-driven design, and seamless integration with advanced manufacturing techniques.