Thomas Golecki, SE, PE

Education

PhD, Civil Engineering, UIUC, May 2023 (Anticipated)
MS, Civil Engineering, Drexel University, June 2008
BS, Civil & Architectural Engineering, Drexel University, June 2008
LinkedIn
Google Scholar

 

 

 


Research Highlights

T. Golecki, F. Gomez, J. Carrion, B.F. Spencer, Continuous Random Field Representation of Stochastic Moving Loads, Probabilistic Engineering Mechanics. (2022). doi.org/10.1016/j.probengmech.2022.103230

This paper develops a filtered white noise representation of random traffic loading. Given a random input process of discrete moving loads:

we compute an equivalent continuous process as a filtered white noise:

This approach enables solving for the stochastic response of a bridge subjected to this random traffic load using the Lyapunov equation. We validate the proposed approach against alternative methods including numerical simulations, modal superposition, and a frequency domain method. The end result is an efficient means of computing structural responses to random traffic excitation.

Topology Optimization of Bridge Structures Subjected to Random Traffic Loading (in progress)

Vehicle Bridge Interaction (in progress)

 


Highlights from Industry Experience

T. Golecki, M. Yarnold, J. Weidner, Pinned-end moments in simple span multi-girder bridges, Eng. Struct.  (2021). doi.org/10.1016/j.engstruct.2021.112398.

Golecki, T. and Weidner J., “Automating Refined Load Ratings for Girder Bridges” Structures Congress 2018: Bridges, Transportation Structures, and Nonbuilding Structures. ascelibrary.org/doi/abs/10.1061/9780784481332.024

Golecki, T. (2018) “Automating Refined Load Ratings for Girder Bridges.” FHWA Bridge Load Rating Webinar Series: Topic No. 23. Invited (Federal Highway Administration) [recording]

Yarnold, M. Golecki, T. and Weidner, J. “Identification of Composite Action through Truck Load Testing” Frontiers in Built Environment – Bridge Engineering. (2018). doi.org/10.3389/fbuil.2018.00074


Data Visualization Highlights

Interactive plot example

Programmatically generated bridge FE models: