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Modified Structure of Deep Neural Network for Training Multi-Fidelity Data With Non-Common Input Variables
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multi-fidelity surrogate (MFS) modeling technology, which efficiently constructs surrogate models using low-fidelity (LF) and high-fidelity (HF) data, has been studied to enhance the predictive capability of engineering ...
Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Tire tread patterns have played an important role in the automotive industry because they directly affect automobile performances. The conventional tread pattern development process has successfully produced and manufactured ...