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Laboratory for Structural Efficiency
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    • Mechanics of Advanced Structures
    • Shear-Deformable Homogenized Models
    • Swarm and Evolutionary Computation
    • Data-Driven Models
    • High-Quality Welding
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  • Graph neural network-based stress field prediction in stiffened panels

    Our GNN-based approach for stress prediction effectively captures entire stress field in stiffened panels under various loadings and with wide geometrical variations. For more, please see: Y. Cai, J. Jelovica (2024) Efficient graph representation in graph neural networks for stress predictions in stiffened panels. Thin-Walled Structures, Vol. 203, 112157. Read More

  • KATO: Neural-reparameterized topology optimization framework

    Our novel neural-reparameterization for topology optimization generates stress-optimal structures by training a convolutional KAN network. The framework is completely data-free, outperforming MMA and CNN models. For more, see: S. Yan, J. Jelovica (2025) KATO: Neural-reparameterized topology optimization using convolutional Kolmogorov-Arnold network for stress minimization, International Journal for Numerical Methods in Engineering, Vol. 126:e70034, Read More

  • Structural vibrations in engine room of a ship

    Our graduate students participated in vibration and noise measurements in engine room of a science vessel. Thank you Yuecheng, Jason and Mostafa for your help. Read More

  • Analytical assessment of nonlinear forced vibration of functionally graded porous beams

    Our recent paper published in Composite Structures journal (https://doi.org/10.1016/j.compstruct.2022.115994). Read More

  • Stress-based topology optimization of sandwich panel’s joints

    Our recent paper in OMAE 2022 conference presents topology optimization of joints for prismatic sandwich panels. Stress is minimized for a range of material volume fractions. In comparison to conventional joint, maximum von Mises stress is reduced 2-3 times for a few loading scenarios. Read More

  • Neural network-assisted constraint handling in evolutionary optimization algorithms

    One of our research topics is on improving the performance of evolutionary (and swarm) optimization algorithms – here we propose a method to make them more efficient when dealing with complex structural problems. Read More

Welcome to the website of Structural Efficiency Laboratory. Our motto is: Get more out of a structure.

Our focus is modeling behavior of innovative structural components that offer advanced mechanical properties. In addition to mechanics, we focus on development of optimization and machine learning algorithms to create more advanced structures and systems. To allow production of these structures, we are investigating advanced welding techniques to ensure high quality and structural integrity.


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We are supported by Departments of Mechanical Engineering and Civil Engineering at The University of British Columbia (UBC), Vancouver.


Funding support


Laboratory for Structural Efficiency
Vancouver Campus
CEME 2208E
Civil and Mechanical Engineering (CEME) Building, 6250 Applied Science Lane
Vancouver, BC Canada V6T 1Z4
Tel 1 606 827 5071
Website website url
Email jasmin.jelovica@ubc.ca
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