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UTARI Seminar

UTARI Seminar - Keith Ballard

Each seminar highlights a different speaker who will discuss their latest research projects, cutting-edge technology or what is happening within certain technological industries. These industries include biomedical technologies or microsystems, assistive technologies, automation and intelligent systems, unmanned systems, advanced manufacturing and composite materials.


The simulation of fiber-reinforced composite materials from the microscale to the mesoscale.


This talk provides a cursory look at my doctoral and post-doctoral work in simulating the response of composite materials using the finite element method. It begins with a discussion of the pipeline, which is composed of a collection of numerical tools that I developed and other open-source projects, necessary for finite element analyses that leverage high-performance computing (HPC). Next, I describe how I used the aforementioned pipeline of tools to understand the behavior of continuous fiber reinforced composites at the microscale, including elasticity, fracture, inverse problems, parametric studies, and accounting for randomness of the microstructure. From there, I discuss how HPC enabled multiscale analyses that provide more insight to the classic free-edge problem in laminated composites and the ability to simulate complex 3D textile composites with greater detail. Finally, I will conclude with a brief look at my recent work with the extended finite element method (XFEM) and the vision of where this work is headed within UTARI.


Keith Ballard is a research scientist at the University of Texas at Arlington Research Institute (UTARI) in the Institute for Predictive Performance Methodologies. His research focuses on the intersection of numerical methods, high-performance computing, and continuum/damage mechanics with the aim to accurately simulate the behavior of complex materials across scales. Particularly, his work involves the development of new finite element and extended finite element methods that are suitable for high-performance computing and the implementation of such methods to construct novel predictive tools. He received his Ph.D. in Aerospace Engineering from Texas A&M University and recently completed a National Research Council post-doctoral fellowship at the Air Force Research Laboratory Materials and Manufacturing Directorate before joining UTARI


12pm - 1pm
Microsoft Teams