83 citations · 331 across the 17 of their papers we have counts for
9 papers · 1 filter
FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks
Rahul Kumar Padhy, Aaditya Chandrasekhar, Krishnan Suresh
Fluid-flow devices with low dissipation, but high contact area, are of importance in many applications. A well-known strategy to design such devices is multi-scale topology optimiz…
A Generalized Framework for Microstructural Optimization using Neural Networks
Saketh Sridhara, Aaditya Chandrasekhar, Krishnan Suresh
Microstructures, i.e., architected materials, are designed today, typically, by maximizing an objective, such as bulk modulus, subject to a volume constraint. However, in many appl…
Towards tangled finite element analysis over partially inverted hexahedral elements
Bhagyashree Prabhune, Krishnan Suresh
If a finite element mesh contains concave elements, it is said to tangled. Tangled meshes can occur during mesh generation, mesh optimization, and large deformation simulations, an…
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…
Multi-constrained topology optimization via the topological sensitivity
Shiguang Deng, Krishnan Suresh
The objective of this paper is to introduce and demonstrate a robust method for multi-constrained topology optimization. The method is derived by combining the topological sensitiv…
Topology optimization under thermo-elastic buckling
Shiguang Deng, Suresh Krishnan
The focus of this paper is on topology optimization of continuum structures subject to thermally induced buckling. Popular strategies for solving such problems include Solid Isotro…