Выходит 6 номеров в год
ISSN Печать: 1543-1649
ISSN Онлайн: 1940-4352
Indexed in
RECONCILED TOP-DOWN AND BOTTOM-UP HIERARCHICAL MULTISCALE CALIBRATION OF BCC FE CRYSTAL PLASTICITY
Краткое описание
In this paper, a test for connections between models via parameter sets is developed. A set of parameters from the flow rule of a crystal plasticity model for bcc Fe is identified for connecting top-down and bottom-up information. The top-down calibration is performed using experimental measurements of single-crystal yield strength at multiple temperatures and crystallographic orientations, where a likelihood function in parameter space is informed using second-order regression surrogate modeling. A bottom-up calibration of the same model uses the parameter estimates from atomistic simulations to inform penalty functions. A constrained likelihood function incorporates the top-down and bottom-up information in one calibration of parameters. Decision making within hierarchical multiscale modeling is approached. The benefit to calibration precision brought by incorporating additional data from bottom up is considered against the uncertainty in the requisite multiscale connection. This trade-off is formulated into an empirical test of connections. Hypothetical decision making is demonstrated between multiple alternative bottom-up estimates.
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Wang Kun, Sun WaiChing, Meta-modeling game for deriving theory-consistent, microstructure-based traction–separation laws via deep reinforcement learning, Computer Methods in Applied Mechanics and Engineering, 346, 2019. Crossref
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Tallman Aaron E, Swiler Laura P, Wang Yan, McDowell David L, Hierarchical top-down bottom-up calibration with consideration for uncertainty and inter-scale discrepancy of Peierls stress of bcc Fe, Modelling and Simulation in Materials Science and Engineering, 27, 6, 2019. Crossref
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Tran Anh, Liu Dehao, Tran Hoang, Wang Yan, Quantifying uncertainty in the process-structure relationship for Al–Cu solidification, Modelling and Simulation in Materials Science and Engineering, 27, 6, 2019. Crossref
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Ji Rigelesaiyin, Phan Thanh, Chen Hao, Xiong Liming, Quantifying the dynamics of dislocation kinks in iron and tungsten through atomistic simulations, International Journal of Plasticity, 128, 2020. Crossref
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Wang Yan, McDowell David L., Uncertainty quantification in materials modeling, in Uncertainty Quantification in Multiscale Materials Modeling, 2020. Crossref
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Tallman Aaron E., Swiler Laura P., Wang Yan, McDowell David L., Hierarchical multiscale model calibration and validation for materials applications, in Uncertainty Quantification in Multiscale Materials Modeling, 2020. Crossref
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Ibragimova Olga, Brahme Abhijit, Muhammad Waqas, Lévesque Julie, Inal Kaan, A new ANN based crystal plasticity model for FCC materials and its application to non-monotonic strain paths, International Journal of Plasticity, 144, 2021. Crossref
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Arróyave Raymundo, McDowell David L., Systems Approaches to Materials Design: Past, Present, and Future, Annual Review of Materials Research, 49, 1, 2019. Crossref
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Gu Tang, Stopka Krzysztof S., Xu Chuan, McDowell David L., Prediction of maximum fatigue indicator parameters for duplex Ti–6Al–4V using extreme value theory, Acta Materialia, 188, 2020. Crossref
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Li Bin, Gao Tao, Xue Hongqian, Sun Zhidan, Estimation of fatigue crack initiation in the very high cycle fatigue regime for AA7075-T6 alloy using crystal plasticity finite element method, Journal of Materials Science, 57, 23, 2022. Crossref
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Tallman Aaron E., Paul Tanaji, John Denny, Agarwal Arvind, Uncertainty Quantification of a High-Throughput Profilometry-Based Indentation Plasticity Test of Al 7075 T6 Alloy, Frontiers in Materials, 9, 2022. Crossref