Donald Erdman

Donald Erdman

Research Scientist @ Ridge

About Donald Erdman

Donald Erdman is a Research Scientist at Oak Ridge National Laboratory, where he has worked since 2000. He specializes in data acquisition and control for monitoring damage evolution and has expertise in fracture mechanics testing.

Work at Oak Ridge National Laboratory

Donald Erdman has been a Research Scientist at Oak Ridge National Laboratory since 2000. His role involves focusing on data acquisition and control systems that monitor damage evolution, which supports predictive failure analysis. Prior to his current position, he worked as a Post-Doctoral researcher at the same institution from 1996 to 2000. Erdman specializes in the automation of test systems, applying his expertise to various materials and structures.

Education and Expertise

Donald Erdman holds a PhD in Engineering Science and Mechanics from the University of Tennessee, Knoxville, which he completed from 1991 to 1995. He also earned a Master of Science in Mechanical Engineering (MSME) from Drexel University, where he studied from 1989 to 1991. His undergraduate degree is a Bachelor of Science in Mechanical Engineering (BSME), also from Drexel University, completed from 1985 to 1989. Erdman has a strong background in fracture mechanics testing.

Background

Donald Erdman's academic journey began with his undergraduate studies in Mechanical Engineering at Drexel University. He continued his education there to achieve a Master's degree before pursuing a PhD at the University of Tennessee, Knoxville. His career at Oak Ridge National Laboratory has spanned over two decades, during which he has contributed to various research initiatives in the field of engineering.

Research Focus

Erdman's research primarily concentrates on data acquisition and control systems that are essential for monitoring damage evolution in materials. This work is crucial for predictive failure analysis, which aims to anticipate potential failures in materials and structures. His specialization in the automation of test systems enhances the efficiency and accuracy of experimental processes in his field.

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