新加坡国立大学Tong-Earn Tay教授学术报告

新加坡国立大学Tong-Earn Tay教授学术报告

报告主题:Predictive High-Fidelity Computational Modeling of Failure of Composite Structures

报告时间:20191216 下午 14:00

报告地点:哈工大科学园A 复合材料与结构研究所 314会议室

报告摘要:Fiber-reinforced composites offer lightweight, high-strength and high-stiffness solutions for many structural applications. Due to their anisotropic and laminated nature, the fracture and damage mechanisms of such structures are coupled and complex. The prediction of structural performance of composite structures is critical to their design and optimization of material usage. This requires understanding of the interaction of damage mechanisms and their accurate modeling in computational analysis, often at multi-scale levels. Recently, advanced and innovative computational methods have been devised to improve failure prediction based on underlying mechanics and damage observations. This lecture will overview existing computational methods for composites as well as new high-fidelity methods such as the adaptive discrete-smeared crack (A-DiSC) that could point the way to model impact damage and failure of large composite structures. Innovative finite element squared (FE2) methods have potential to solve multi-scale fracture and damage problems in composites by directly incorporating failure mechanisms at the micromechanics levels and enable efficient structural modeling of complex 3D-printed structures. A brief overview of the research activities of the composites materials and structures group at the Dept of Mechanical Engineering, National University of Singapore, will also be presented.

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报告人简介:Tong-Earn Tay是新加坡国立大学(National University of Singapore)机械工程学院教授,研究方向涉及复合材料结构的渐进损伤、破坏、分层和断裂;复合材料结构的计算应力分析与建模;复合材料结构的修补和连接;多尺度模拟和分子力学等。现任Journal of Reinforced Plastics and Composites副主编以及International Journal of Damage Mechanics、Journal of Composite Materials、Applied Composite Materials等期刊编辑。出版专著3部,140余篇学术期刊论文,240余篇学术会议论文。

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