Prediction of maximum fatigue indicator parameters for duplex Ti–6Al–4V using extreme value theory T Gu, KS Stopka, C Xu, DL McDowell Acta Materialia 188, 504-516, 2020 | 51 | 2020 |
Microstructure-sensitive computational multiaxial fatigue of Al 7075-T6 and duplex Ti-6Al-4V KS Stopka, DL McDowell International Journal of Fatigue 133, 105460, 2020 | 43 | 2020 |
PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys M Yaghoobi, KS Stopka, A Lakshmanan, V Sundararaghavan, JE Allison, ... npj Computational Materials 7 (1), 38, 2021 | 40 | 2021 |
Effects of boundary conditions on microstructure-sensitive fatigue crystal plasticity analysis KS Stopka, M Yaghoobi, JE Allison, DL McDowell Integrating Materials and Manufacturing Innovation 10 (3), 393-412, 2021 | 33 | 2021 |
Crystal plasticity finite element modeling of grain size and morphology effects on yield strength and extreme value fatigue response A Lakshmanan, M Yaghoobi, KS Stopka, V Sundararaghavan journal of materials research and technology 19, 3337-3354, 2022 | 31 | 2022 |
Simulated effects of sample size and grain neighborhood on the modeling of extreme value fatigue response KS Stopka, M Yaghoobi, JE Allison, DL McDowell Acta Materialia 224, 117524, 2022 | 29 | 2022 |
Microstructure-sensitive computational estimates of driving forces for surface versus subsurface fatigue crack formation in duplex Ti-6Al-4V and Al 7075-T6 KS Stopka, DL McDowell Jom 72 (1), 28-38, 2020 | 29 | 2020 |
Effects of algorithmic simulation parameters on the prediction of extreme value fatigue indicator parameters in duplex Ti-6Al-4V KS Stopka, T Gu, DL McDowell International Journal of Fatigue 141, 105865, 2020 | 28 | 2020 |
Gaussian-process-driven adaptive sampling for reduced-order modeling of texture effects in polycrystalline alpha-Ti AE Tallman, KS Stopka, LP Swiler, Y Wang, SR Kalidindi, DL McDowell JOM 71, 2646-2656, 2019 | 19 | 2019 |
Intentionally seeding pores in additively manufactured alloy 718: process parameters, microstructure, defects, and fatigue KS Stopka, A Desrosiers, T Nicodemus, N Krutz, A Andreaco, MD Sangid Additive Manufacturing 66, 103450, 2023 | 15 | 2023 |
Modeling the statistical distribution of fatigue crack formation lifetime in large volumes of polycrystalline microstructures T Gu, KS Stopka, C Xu, DL McDowell Acta Materialia 247, 118715, 2023 | 11 | 2023 |
Microstructure-Sensitive modeling of surface roughness and notch effects on extreme value fatigue response KS Stopka, M Yaghoobi, JE Allison, DL McDowell International Journal of Fatigue 166, 107295, 2023 | 9 | 2023 |
Modeling fatigue behavior of additively manufactured alloys with an emphasis on pore defect morphology KS Stopka, MD Sangid Journal of the Mechanics and Physics of Solids 181, 105429, 2023 | 6 | 2023 |
Initializing intragranular residual stresses within statistically equivalent microstructures for crystal plasticity simulations R Bandyopadhyay, KS Stopka, MD Sangid Journal of the Mechanics and Physics of Solids 184, 105529, 2024 | 4 | 2024 |
Effect of sample size on the maximum value distribution of fatigue driving forces in metals and alloys M Yaghoobi, KS Stopka, DL McDowell, L Graham-Brady, K Teferra International Journal of Fatigue 176, 107853, 2023 | 4 | 2023 |
Structural and fatigue analysis of a rotating detonation rocket engine K Stopka, J Smallwood, A Chokshi, SD Heister, M Sangid AIAA Scitech 2023 Forum, 1869, 2023 | 3 | 2023 |
A methodology for the rapid qualification of additively manufactured materials based on pore defect structures KS Stopka, A Desrosiers, A Andreaco, MD Sangid Integrating Materials and Manufacturing Innovation 13 (1), 335-359, 2024 | 2 | 2024 |
Integrated computational materials engineering workflows for microstructure-sensitive fatigue of advanced alloys KS Stopka Georgia Institute of Technology, 2021 | 2 | 2021 |
Microstructure-Sensitive ICME Workflows for Fatigue Critical Applications KS Stopka, G Whelan, DL McDowell SAMPE 2019-Charlotte, NC, May 2019, 2019 | 2 | 2019 |