Clayton Pettit

Clayton Pettit serves as an Assistant Professor in the Department of Civil and Environmental Engineering within the Faculty of Engineering at the University of Alberta, appointed in 2023. He concurrently holds the role of Associate Director of Experiential Learning for the Civil, Environmental, Mining, and Petroleum (CEEMP) Department, where he integrates hands-on learning experiences into the engineering curriculum.

His academic credentials include:

• Doctor of Philosophy (Ph.D.) in Structural Engineering, University of Alberta, 2023
• Master of Science (M.Sc.) in Structural Engineering, University of Alberta, 2020
• Bachelor of Science (B.Sc.) in Civil Engineering, University of Alberta, 2017

Pettit's research program focuses on structural engineering through experimental and computational methodologies. Key areas include masonry wall systems (flexural rigidity of slender walls, in-plane shear capacity of squat walls), numerical modeling of long-distance pipelines, and thermal analysis of masonry veneer envelopes. His contributions to industry standards are evident through active participation in TMS 402/602-28 technical committees for general masonry design and seismic considerations.

As an educator, he teaches foundational courses including Engineering Mechanics (ENGG 130), Structural Analysis, Continuum Mechanics (CIV E 398), and the Finite Element Method (CIV E 665). He has successfully transitioned all courses to online formats and maintains an educational YouTube channel with over 25,000 subscribers. Pettit currently accepts undergraduate students for research supervision in structural engineering projects.

Scientific Awards:

• No scientific awards, fellowships, or medals were documented in the source material.

Pettit oversees experiential learning initiatives department-wide and conducts research utilizing structural engineering laboratories for large-scale testing. His technical committee work and pipeline modeling projects indicate collaborative industry-academic partnerships, with future research directions emphasizing infrastructure resilience and advanced computational modeling.