66 citations · 77 across the 5 of their papers we have counts for
5 papers
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors
Charles F. Jekel, Kenneth E. Swartz, Daniel A. White +2
Machine learning models can be used to predict physical quantities like homogenized elasticity stiffness tensors, which must always be symmetric positive definite (SPD) based on co…
Three-dimensional topology optimization of heat exchangers with the level-set method
Miguel A. Salazar de Troya, Daniel A. Tortorelli, Julian Andrej +1
We design heat exchangers using level-set method based topology optimization. The heat exchange between two fluids in separate channels is maximized while constraining the pressure…
Computational Design of Microarchitected Flow-Through Electrodes for Energy Storage
Victor A. Beck, Jonathan J. Wong, Charles F. Jekel +4
Porous flow-through electrodes are used as the core reactive component across electrochemical technologies. Controlling the fluid flow, species transport, and reactive environment…
Another source of mesh dependence in topology optimization
Miguel A. Salazar de Troya, Geoffrey M. Oxberry, Cosmin G. Petra +1
The topology optimization community has regularly employed nonlinear programming (NLP) algorithms from the operations research community. However, these algorithms are implemented…
Parallel Projection---An Improved Return Mapping Algorithm for Finite Element Modeling of Shape Memory Alloys
Ziliang Kang, Daniel A. Tortorelli, Kai A. James
We present a novel finite element analysis of inelastic structures containing Shape Memory Alloys (SMAs). Phenomenological constitutive models for SMAs lead to material nonlinearit…