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20212026
most citedTopology optimization under thermo-elastic buckling

83 citations · 258 across the 10 of their papers we have counts for

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11 papers · 1 filter

cs.CE2026

Multi-Material Topology Optimization for Targeted Structural Dynamic Vibration Attenuation

Bir Bahadur Chaudhary, Bidhan Pandey, Bin Ouyang +1

Resonance-induced excessive vibrations can degrade performance, reduce reliability, and shorten the service life of engineering structures. To reduce the risk of resonance, structu…

cs.CE2022★ 3 cited

Deep Learning for Multiscale Damage Analysis via Physics-Informed Recurrent Neural Network

Shiguang Deng

Direct numerical simulation of hierarchical materials via homogenization-based concurrent multiscale models poses critical challenges for 3D large scale engineering applications, a…

cs.CE2022★ 1 cited

Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models via Latent Map Gaussian Process

Shiguang Deng, Carlos Mora, Diran Apelian +1

Fracture modeling of metallic alloys with microscopic pores relies on multiscale damage simulations which typically ignore the manufacturing-induced spatial variabilities in porosi…

cs.CE2022

Adaptive Spatiotemporal Dimension Reduction in Concurrent Multiscale Damage Analysis

Shiguang Deng, Diran Apelian, Ramin Bostanabad

Concurrent multiscale damage models are often used to quantify the impacts of manufacturing-induced micro porosity on the damage response of macroscopic metallic components. Howeve…

cs.CE2022★ 64 cited

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…

cs.CE2022★ 38 cited

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…

cs.CE2022★ 60 cited

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…

cs.CE2022★ 83 cited

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…

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

Reduced-Order Multiscale Modeling of Plastic Deformations in 3D Alloys with Spatially Varying Porosity by Deflated Clustering Analysis

Shiguang Deng, Carl Soderhjelm, Diran Apelian +1

Aluminum alloys are increasingly utilized as lightweight materials in the automobile industry due to their superior capability in withstanding high mechanical loads. A significant…

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…