Machine learning-based fatigue life prediction of lamellar titanium alloys: A microstructural perspective

Y Zhao, Y Xiang, K Tang - Engineering Fracture Mechanics, 2024 - Elsevier
Fatigue life prediction based on the traditional empirical formulation in large fatigue regimes
is limited and prone to over-fitting. In this regard, we propose an integrated approach for …

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding

J Tian, J Hou, Z Wu, P Shu, Z Liu, Y Xiang, B Gu… - arXiv preprint arXiv …, 2024 - arxiv.org
This study is a pioneering endeavor to investigate the capabilities of Large Language
Models (LLMs) in addressing conceptual questions within the domain of mechanical …

Deep learning-based semantic segmentation for morphological fractography

K Tang, P Zhang, Y Zhao, Z Zhong - Engineering Fracture Mechanics, 2024 - Elsevier
Fractographic analysis poses a significant challenge for field researchers without
specialized training in fractography. To address this issue, this study introduces a …

A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films

R Wang, T Ying, Y Chen, F Zhu, J Leng, T Chang… - Thin-Walled …, 2024 - Elsevier
Despite the significant success of machine learning (ML) in various fields, there remains a
critical need to enhance its ability to extrapolate from insufficient data. Here, we propose a …

Kinematotropic linkage-based cellular metamaterials with bifurcation motion: Construction and analysis

Y Li, H Huang, Y Liu, Y Zhang - International Journal of Mechanical …, 2024 - Elsevier
This paper proposes the design and networking method of a metamorphic Ori-block unit and
develops a novel family of cellular mechanical metamaterials. First, a novel 6R (Revolute …