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20212024
most citedTopology optimization under thermo-elastic buckling

83 citations · 331 across the 17 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CE2021★ 3 cited

Integrating Material Selection with Design Optimization via Neural Networks

Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh

The engineering design process often entails optimizing the underlying geometry while simultaneously selecting a suitable material. For a certain class of simple problems, the two…

cs.CE2021★ 1 cited

Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks

Aaditya Chandrasekhar, Krishnan Suresh

Length scale control is imposed in topology optimization (TO) to make designs amenable to manufacturing and other functional requirements. Broadly, there are two types of length-sc…

cs.CE2021★ 9 cited

Estimation of elastic behaviors of metal components containing process induced porosity

Shiguang Deng, Carl Soderhjelm, Diran Apelian +1

Significant progress has been made for assessing the influence of porosity on the performance metrics for cast components through various modeling techniques. However, a computatio…

cs.CE2021

Second-Order Defeaturing Estimator of Manufacturing-Induced Porosity on Structural Elasticity

Shiguang Deng, Carl Soderhjelm, Diran Apelian +1

Manufactured metallic components often contain non-uniformly distributed pores of complex morphologies. Since such porosity defects have significant influence on material behaviors…

cs.MS2021★ 68 cited

AuTO: A Framework for Automatic differentiation in Topology Optimization

Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh

A critical step in topology optimization (TO) is finding sensitivities. Manual derivation and implementation of the sensitivities can be quite laborious and error-prone, especially…