• Jun Yan, Dalian University Of Technology
• Bin Niu

Intelligent design of structural and mechanical systems
Artificial intelligence methods represented by machine learning are developing rapidly recently, and related research results have been widely used in many fields such as computers, finance, life sciences, and traditional industries. In recent years, the combination of machine learning algorithm and topology optimization framework to achieve fast design optimization of structural and mechanical systems has attracted great attention from many scholars. Artificial intelligence (AI) based structural optimization has been started to promote the design process of structural and mechanical systems to be more efficient and more intelligent. Traditional topology optimization methods often require thousands of iterative processes when dealing with large-scale topology optimization problems, and face with the challenge of high computational complexity due to large-scale finite element analysis. By combining artificial intelligence algorithms with the structural optimization, a large number of repeated finite element calculations in the structural optimization process can be handed over to the offline training phase, that is, the model training process, while the online calculation process does not need to consume a lot of calculation time. A well-trained artificial intelligence model can provide timely design feedback, and the efficiency of structural optimization is greatly improved. Many innovative designs of complicated mechanical systems with excellent multi-disciplinary performance such as mechanical, thermal, and acoustic have been realized. The AI based structural optimization of structural and mechanical systems is regarded as a new generation of design techniques, which can meet the specific requirements of innovative configuration design, light weight and high performance, and significantly improve the efficiency of traditional structural optimization. At present, the combination of artificial intelligence model and structural optimization has great potential. It is expected that researchers in this field can develop better intelligent algorithms and establish a large-scale, multi-functional, and robust intelligent structural and mechanical systems optimization framework. The topics in the present mini-symposium include, but are not limited to:

Intelligent design optimization of mechanical systems
Machine learning based topology optimization
New methods of artificial intelligence based design optimization
Design automation of mechanical systems based AI techniques