Intelligent Generation Method of Innovative Structures Based on Topology Optimization and Deep Learning

Abstract

Computer-aided design has been widely used in structural calculation and analysis, but there are still challenges in generating innovative structures intelligently. Aiming at this issue, a new method was proposed to realize the intelligent generation of innovative structures based on topology optimization and deep learning. Firstly, a large number of structural models obtained from topology optimization under different optimization parameters were extracted to produce the training set images, and the training set labels were defined as the corresponding load cases. Then, the boundary equilibrium generative adversarial networks (BEGAN) deep learning algorithm was applied to generate numerous innovative structures. Finally, the generated structures were evaluated by a series of evaluation indexes, including innovation, aesthetics, machinability, and mechanical performance. Combined with two engineering cases, the application process of the above method is described here in detail. Furthermore, the 3D reconstruction and additive manufacturing techniques were applied to manufacture the structural models. The research results showed that the proposed approach of structural generation based on topology optimization and deep learning is feasible, and can not only generate innovative structures but also optimize the material consumption and mechanical performance further.

Utilizing Generative Design Algorithms for Innovative Structural Engineering Solutions

“…The successful application of generative design algorithms is dependent upon a thorough description and easy incorporation of objectives and constraints into the algorithmic framework. With a definition of the objectives and boundaries, the next stage involves the construction of a model that is parametric in nature [28]. The model mentioned above functions as the fundamental structure of the design process, whereby key design variables have been identified and encoded as factors within the generative algorithms.…”

Generative Design and Integrated 3D Printing Manufacture of Cross Joints

“…The above process is generally cyclic and repeated several times, and model testing must sometimes be carried out. Therefore, the traditional design method based on the engineers’ experience has a long cycle time and high energy consumption [ 6 ]. In particular, when the types and numbers of joints in an entire structure are substantial, such as in the Morpheus Hotel in Macau, as shown in Figure 1 , it is almost impossible to complete the design assignment by the traditional method.…”

“…Moreover, topology optimization can only obtain a single outcome rather than several alternatives. If the topological convergence solution does not satisfy the aesthetic or other property requirements, a significant amount of manual adjustment work is required [ 6 ].…”

“…In addition, 3D printing technology has unique advantages in the integration of design and manufacturing and effectively communicates the connection between the digital world and the physical world. Currently, 3D printing combined with generative design has been tested in other fields, such as the redesign of a seatbelt bracket by General Motors and the design of cabin partitions by the European Aeronautics and Astronautics Corporation for Airbus [ 6 ]. From these studies, it can be seen that generative design can make full use of the design space provided by 3D printing technology, and 3D printing can ensure the manufacturability of generative results.…”

Numerical Simulation and Experimental Investigation on Two Strengthening Schemes of Cantilever Brackets

“…As a non-structural component, assembled cantilever bracket is mainly used to connect building structures and electromechanical systems, and it is very important to give full play to the function of the building. The investigation shows that the investment of non-structural components in the investment of hospitals, office buildings, and hotels accounts for 92%, 87%, and 82%, respectively [ 5 , 6 , 7 ]. Therefore, the study of the comprehensive mechanical properties of the assembled cantilever bracket to prevent accidental disaster losses is of great importance.…”