83 citations · 251 across the 11 of their papers we have counts for
9 papers · 1 filter
VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar
Cellular structures found in nature exhibit remarkable properties such as high strength, high energy absorption, excellent thermal/acoustic insulation, and fluid transfusion. Many…
TOMAS: Topology Optimization of Multiscale Fluid Devices using Variational Autoencoders and Super-Shapes
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar
In this paper, we present a framework for multiscale topology optimization of fluid-flow devices. The objective is to minimize dissipated power, subject to a desired contact-area.…
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network
Aaditya Chandrasekhar, Amir Mirzendehdel, Morad Behandish +1
In this paper, we present a topology optimization (TO) framework to simultaneously optimize the matrix topology and fiber distribution of functionally graded continuous fiber-reinf…
GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks
Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh
Multiscale topology optimization (M-TO) entails generating an optimal global topology, and an optimal set of microstructures at a smaller scale, for a physics-constrained problem.…
Stress constrained thermo-elastic topology optimization with varying temperature fields via augmented topological sensitivity based level-set
Shiguang Deng, Krishnan Suresh
Engineering structures must often be designed to resist thermally induced stresses. Significant progress has been made on the design of such structures through thermo-elastic topol…
Multi-constrained 3D topology optimization via augmented topological level-set
Shiguang Deng, Suresh Krishnan
The objective of this paper is to introduce and demonstrate a robust methodology for solving multi-constrained 3D topology optimization problems. The proposed methodology is a comb…