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272 Publications


2023 | Journal Article | LibreCat-ID: 54282
Hamdoun, A., & Mahnken, R. (2023). A finite strain gradient theory for viscoplasticity by means of micromorphic regularization. PAMM, 22(1). https://doi.org/10.1002/pamm.202200074
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 31185
Ju, X., Mahnken, R., Xu, Y., Liang, L., Cheng, C., & Zhou, W. (2022). Multiscale analysis of composite structures with goal-oriented mesh adaptivity and reduced order homogenization. Composite Structures, Article 115699. https://doi.org/10.1016/j.compstruct.2022.115699
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 30656
Mahnken, R. (2022). Strain mode-dependent weighting functions in hyperelasticity accounting for verification, validation, and stability of material parameters. Archive of Applied Mechanics, 92(3), 713–754. https://doi.org/10.1007/s00419-021-02069-y
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 30655
Ju, X., Mahnken, R., Xu, Y., & Liang, L. (2022). Goal-oriented error estimation and h-adaptive finite elements for hyperelastic micromorphic continua. Computational Mechanics, 69(3), 847–863. https://doi.org/10.1007/s00466-021-02117-y
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 30657
Henkes, A., Wessels, H., & Mahnken, R. (2022). Physics informed neural networks for continuum micromechanics. Computer Methods in Applied Mechanics and Engineering, 393, Article 114790. https://doi.org/10.1016/j.cma.2022.114790
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 34074
Mahnken, R., & Mirzapour, J. (2022). A statistically based strain energy function for polymer chains in rubber elasticity. Archive of Applied Mechanics, 92(11), 3295–3323. https://doi.org/10.1007/s00419-022-02237-8
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 41485
Clemens, R., Barth, E., Uhlmann, E., Zhan, Y., Caylak, I., & Mahnken, R. (2022). Effects on Process Forces of Individual Milling Tool Edges Depending on the Cutting Angle and Cutting Speed When Milling Cfrp. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4259246
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 32592
Ju, X., Mahnken, R., Xu, Y., & Liang, L. (2022). NTFA-enabled goal-oriented adaptive space–time finite elements for micro-heterogeneous elastoplasticity problems. Computer Methods in Applied Mechanics and Engineering, 398, Article 115199. https://doi.org/10.1016/j.cma.2022.115199
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 34075
Penner, E., Caylak, I., & Mahnken, R. (2022). A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics. Mathematics and Mechanics of Complex Systems, 10(1), 21–50. https://doi.org/10.2140/memocs.2022.10.21
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 33801
Mahnken, R. (2022). New low order Runge–Kutta schemes for asymptotically exact global error estimation of embedded methods without order reduction. Computer Methods in Applied Mechanics and Engineering, 401, Article 115553. https://doi.org/10.1016/j.cma.2022.115553
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