Assistant Professor, Graduate Attribute Lead, P.Eng
Dr. Butler is an Assistant Professor of structural and materials engineering at York University in the Lassonde School of Engineering. His research expertise focuses on developing, investigating and implementing climate resilient and intelligent structures and material systems. He was awarded a Ph.D. from the University of Waterloo for his research work involving recycling of old concrete structures into new concrete which combined materials characterization, structural component testing and statistical analysis. Following his PhD, he worked as a structural engineer in Toronto at on the design of a wide variety of complex structures and consulted on several challenging concrete materials-related projects. He is an active member of the American Concrete Institute's Technical Committee 555 on Concrete with Recycled Materials and is a registered professional engineer (P.Eng.) in the Province of Ontario, Canada. Following his consulting work, Dr. Butler was a postdoctoral research associate at the University of Cambridge in the Centre for Smart Infrastructure and Construction (CSIC). As a researcher within the CSIC, he led research projects in the broad area of infrastructure sensing primarily related to bridges and prestressed concrete railway ties containing embedded fibre-optic sensor networks. In addition, he is interested in developing strengthening systems for concrete structures using textile reinforced cementitious matrix systems with embedded sensing capability. Dr. Butler has also been cross-appointed as a Group Leader at the Alan Turing Institute's program on Data-Centric Engineering. In this role, he has worked with data scientists and statisticians to explore how advanced data analytics combined with physics-based models can be used to better understand critical structures, next-generation materials and the long-term resiliency of our built environment. His research has involved numerous successful collaborations with industry and academic partners around the world including at the University of Cambridge, Imperial College London, the University of Pretoria, and Queen's University.
- Climate-data-driven infrastructure design
- Low carbon concrete structures
- Advanced sensing implementation for structural monitoring
- Digital twins applications in structural engineering
- Febrianto E, Butler LJ, Cirak F and Girolami M (2022). Digital twinning of self-sensing structures using the statistical finite element method. Data-Centric Engineering. Accepted for publication.
- Shaikh A & Butler LJ (2022). Self-Sensing Fabric Reinforced Cementitious Matrix Systems for Combined Strengthening and Monitoring of Concrete Structures. Construction and Building Materials, 331. DOI: https://doi.org/10.1016/j.conbuildmat.2022.127243
- Sun F, Hoult N, Butler LJ and Zhang M (2021). Distributed monitoring of rail lateral buckling under axial loading. Journal of Civil Structural Health Monitoring, 12: 757 - 774. DOI: https://doi.org/10.1007/s13349-021-00504-w
- Olcun S, Santorsola J, and Butler LJ (2021). Design and trade-off optimization for reduction of carbon emissions in concrete structures using recycled materials. fib Symposium Proceedings, Lisbon, Portugal., 14 – 16, June 2021.
- Santorsola J and Butler LJ (2021). Experimental assessment of low carbon concrete Produced using coarse and fine recycled concrete aggregates and high-volume supplementary cementitious materials. fib Symposium 2021 Proceedings, Lisbon, Portugal., 14 – 16, June 2021.
- Lin W, Butler LJ, Elshafie MZEB and Middleton CR (2019). Performance assessment of a newly constructed half-through railway bridge through integrated sensing. Journal of Bridge Engineering, ASCE, 24(1):14 pgs.
- Ye C, Butler LJ, Calka B, Iangurazov, Lu Q, Gregory A, Girolami M and Middleton CR (2019). A digital twin of bridges for structural health monitoring. 12th International Workshop on Structural Health Monitoring Proceedings, Stanford, United States, September 10 – 12, 2019.
- Butler LJ, Lin W, Xu J, Gibbons N, Elshafie MZEB and Middleton CR (2018). Monitoring, modelling and assessment of a self-sensing railway bridge during construction. Journal of Bridge Engineering, ASCE, 23(10):16 pgs.
- Lau FD-H, Butler LJ, Adams NM, Elshafie MZEB and Girolami MA (2018). Real-time statistical modelling of data generated from self-sensing bridges. Journal of Smart Infrastructure and Construction, ICE. Themed Issue on Big Data Analysis. 171(1): 3 - 13.
- Davila Delgado JM, Butler LJ, Brilakis I, Elshafie MZEB, Middleton CR. (2018). Structural performance monitoring using data-driven and dynamic BIM environments. ASCE Journal of Computing in Civil Engineering. 32(3): 1-17.
- Butler LJ, Xu J, Ping H, Gibbons N, Dirar S, Middleton CR, Elshafie MZEB. (2018). Robust fibre-optic sensor arrays for monitoring early-age performance of mass-produced concrete railway sleepers. Journal of Structural Health Monitoring. 17(3): 635-653.
- Butler LJ, Gibbons N, Ping H, Elshafie MZEB, Middleton CR. (2016). Evaluating the early-age behaviour of full-scale prestressed concrete beams using distributed and discrete fibre optic sensors. Construction and Building Materials. 126: 894-912.
Graduate Student Opportunities
There are currently no specific graduate positions available in Dr. Butler's research group however, interested externally-funded MASc or PhD are encouraged to contact Dr. Butler to inquire about potential opportunities.
CIVL3230 Introduction to Structural Design
CIVL4002 Reinforced Concrete Design
CIVL6420 Advanced Prestressed Concrete
CIVL6400 Civil Infrastructure Sensing and Monitoring