6 citations · 9 across the 5 of their papers we have counts for
5 papers
A new dual-population constrained multi-objective evolutionary optimization algorithm with repair constraint handling for structural optimization
Fardad Homafar, Jasmin Jelovica
Structural optimization problems often involve a large number of decision variables and highly non-convex feasible regions, making convergence to the true Pareto front extremely ch…
One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields
Yijing Zhou, Jasmin Jelovica
Physical simulations for intricate geometries with path-dependent constitutive models face difficulties due to the enormous computational cost they require. Recently, the emergence…
Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels
Yuecheng Cai, Jasmin Jelovica
Iterative design and optimization of large, complex structures require fast and accurate prediction of stress, displacement, and other fields. Finite element analysis (FEA) is comp…
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network
Yuecheng Cai, Jasmin Jelovica
This study presents a computational framework for global local structural analysis of ship hull girders that integrates an equivalent single layer (ESL) model with a graph neural n…
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
Yuecheng Cai, Jasmin Jelovica
Surrogate models are essential in structural analysis and optimization. We propose a heterogeneous graph representation of stiffened panels that accounts for geometrical variabilit…