William Locke, Ph.D.

Associate In Buildings & Structures Practice @ Exponent

About William Locke, Ph.D.

William Locke, Ph.D., is an Associate in Buildings & Structures Practice at Exponent, specializing in forensic investigations and structural health monitoring. He has a strong academic background in Structural Engineering from Clemson University and diverse professional experience in research and engineering roles.

Work at Exponent

William Locke, Ph.D., is currently employed at Exponent as an Associate in the Buildings & Structures Practice. He has held this position since 2021, contributing his expertise in forensic investigations, structural health monitoring, and structural dynamics. His role involves applying advanced engineering principles to assess and improve the safety and reliability of structures.

Education and Expertise

William Locke earned his Doctor of Philosophy (Ph.D.) in Structural Engineering from Clemson University, where he also completed his Master's and Bachelor's degrees in the same field. His academic background provides a strong foundation in finite element modeling and structural dynamics. His research includes the development of mobile health monitoring strategies for bridge infrastructure networks and novel techniques for damage classification.

Background

William Locke has a diverse professional background that includes various roles in engineering and research. He worked as a Graduate Assistant and Research Fellow at Clemson University's NRT Program from 2015 to 2021. His experience also includes positions as a Field Sales Leader at Vector Marketing and as a Cooperative Education Student at Construction Science & Engineering, Inc. He has participated in international research as an exchange student at the Fraunhofer Institute in Germany.

Achievements

During his career, William Locke has made significant contributions to the field of structural engineering. He experimentally demonstrated system identification capabilities for infrastructure health monitoring and developed a Bayesian estimation technique for classifying physical damage in vehicle-bridge models. His research efforts focus on enhancing the safety and performance of infrastructure through innovative monitoring strategies.

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