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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

IDENTIFYING MATERIAL PARAMETERS FOR A MICRO-POLAR PLASTICITY MODEL VIA X-RAY MICRO-COMPUTED TOMOGRAPHIC (CT) IMAGES: LESSONS LEARNED FROM THE CURVE-FITTING EXERCISES

Volume 14, Issue 4, 2016, pp. 389-413
DOI: 10.1615/IntJMultCompEng.2016016841
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ABSTRACT

Unlike a conventional first-order continuum model, the material parameters of which can be identified via an inverse problem conducted at material point that exhibits homogeneous deformation, a higher-order continuum model requires information from the derivative of the deformation gradient. This study concerns an integrated experimental-numerical procedure designed to identify material parameters for higher-order continuum models. Using a combination of micro-CT images and macroscopic stress-strain curves as the database, we construct a new finite element inverse problem which identifies the optimal value of material parameters that matches both the macroscopic constitutive responses and the meso-scale micropolar kinematics. Our results indicate that the optimal characteristic length predicted by the constrained optimization procedure is highly sensitive to the types and weights of constraints used to define the objective function of the inverse problems. This sensitivity may in return affect the resultant failure modes (localized vs. diffuse), and the coupled stress responses. This result signals that using the mean grain diameter alone to calibrate the characteristic length may not be sufficient to yield reliable forward predictions.

CITED BY
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  2. Wang Kun, Sun WaiChing, Data-Driven Discrete-Continuum Method for Partially Saturated Micro-Polar Porous Media, Poromechanics VI, 2017. Crossref

  3. Sun WaiChing, Cai Zhijun, Choo Jinhyun, Mixed Arlequin method for multiscale poromechanics problems, International Journal for Numerical Methods in Engineering, 111, 7, 2017. Crossref

  4. Wang Kun, Sun WaiChing, A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning, Computer Methods in Applied Mechanics and Engineering, 334, 2018. Crossref

  5. Sun WaiChing, Wong Teng-fong, Prediction of permeability and formation factor of sandstone with hybrid lattice Boltzmann/finite element simulation on microtomographic images, International Journal of Rock Mechanics and Mining Sciences, 106, 2018. Crossref

  6. Xiong Hao, Nicot François, Yin Zhenyu, From micro scale to boundary value problem: using a micromechanically based model, Acta Geotechnica, 14, 5, 2019. Crossref

  7. Na SeonHong, Sun WaiChing, Computational thermomechanics of crystalline rock, Part I: A combined multi-phase-field/crystal plasticity approach for single crystal simulations, Computer Methods in Applied Mechanics and Engineering, 338, 2018. Crossref

  8. 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

  9. Gupta Ritesh, Salager Simon, Wang Kun, Sun WaiChing, Open-source support toward validating and falsifying discrete mechanics models using synthetic granular materials—Part I: Experimental tests with particles manufactured by a 3D printer, Acta Geotechnica, 14, 4, 2019. Crossref

  10. Rattez Hadrien, Stefanou Ioannis, Sulem Jean, Veveakis Manolis, Poulet Thomas, The importance of Thermo-Hydro-Mechanical couplings and microstructure to strain localization in 3D continua with application to seismic faults. Part II: Numerical implementation and post-bifurcation analysis, Journal of the Mechanics and Physics of Solids, 115, 2018. Crossref

  11. Wang Kun, Sun WaiChing, Du Qiang, A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation, Computational Mechanics, 64, 2, 2019. Crossref

  12. Bryant Eric C., Sun WaiChing, A micromorphically regularized Cam-clay model for capturing size-dependent anisotropy of geomaterials, Computer Methods in Applied Mechanics and Engineering, 354, 2019. Crossref

  13. Na SeonHong, Bryant Eric C., Sun WaiChing, A configurational force for adaptive re-meshing of gradient-enhanced poromechanics problems with history-dependent variables, Computer Methods in Applied Mechanics and Engineering, 357, 2019. Crossref

  14. Ma Ran, Sun WaiChing, Computational thermomechanics for crystalline rock. Part II: Chemo-damage-plasticity and healing in strongly anisotropic polycrystals, Computer Methods in Applied Mechanics and Engineering, 369, 2020. Crossref

  15. Lü Xilin, Xue Dawei, Lim Keng-Wit, Implicit gradient softening plasticity for the modeling of strain localization in soils, Computer Methods in Applied Mechanics and Engineering, 364, 2020. Crossref

  16. Suh Hyoung Suk, Sun WaiChing, O’Connor Devin T., A phase field model for cohesive fracture in micropolar continua, Computer Methods in Applied Mechanics and Engineering, 369, 2020. Crossref

  17. Wang Kun, Sun WaiChing, Du Qiang, A non-cooperative meta-modeling game for automated third-party calibrating, validating and falsifying constitutive laws with parallelized adversarial attacks, Computer Methods in Applied Mechanics and Engineering, 373, 2021. Crossref

  18. Vlassis Nikolaos N., Ma Ran, Sun WaiChing, Geometric deep learning for computational mechanics Part I: anisotropic hyperelasticity, Computer Methods in Applied Mechanics and Engineering, 371, 2020. Crossref

  19. Vlassis Nikolaos N., Sun WaiChing, Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening, Computer Methods in Applied Mechanics and Engineering, 377, 2021. Crossref

  20. Abdallah Youssouf, Sulem Jean, Stefanou Ioannis, Compaction Banding in High‐Porosity Carbonate Rocks: 2. A Gradient‐Dependent Plasticity Model, Journal of Geophysical Research: Solid Earth, 125, 12, 2020. Crossref

  21. Zhong Xinran, Sun WaiChing, Dai Ying, A reduced-dimensional explicit discrete element solver for simulating granular mixing problems, Granular Matter, 23, 1, 2021. Crossref

  22. Ma Ran, Sun WaiChing, A finite micro-rotation material point method for micropolar solid and fluid dynamics with three-dimensional evolving contacts and free surfaces, Computer Methods in Applied Mechanics and Engineering, 391, 2022. Crossref

  23. Wang Runshen, Ong Dominic E. L., Peerun Mohammud I., Jeng Dong-Sheng, Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review, Geosciences, 12, 4, 2022. Crossref

  24. Bahmani Bahador, Sun WaiChing, Manifold embedding data-driven mechanics, Journal of the Mechanics and Physics of Solids, 166, 2022. Crossref

  25. Sun Xiao, Bahmani Bahador, Vlassis Nikolaos N., Sun WaiChing, Xu Yanxun, Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation, Granular Matter, 24, 1, 2022. Crossref

  26. Xue Dawei, Lü Xilin, Huang Maosong, Lim Keng-Wit, Nonlocal regularized numerical analyses for passive failure of tunnel head in strain-softening soils, Computers and Geotechnics, 148, 2022. Crossref

  27. Yin Qing, Andò Edward, Viggiani Gioacchino, Sun WaiChing, Freezing‐induced stiffness and strength anisotropy in freezing clayey soil: Theory, numerical modeling, and experimental validation, International Journal for Numerical and Analytical Methods in Geomechanics, 46, 11, 2022. Crossref

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