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269 Publications


2024 | Journal Article | LibreCat-ID: 52217
Hamdoun, A., & Mahnken, R. (2024). Experimental investigations of uniaxial and biaxial cold stretching within PC‐films and bars using optical measurements. PAMM. https://doi.org/10.1002/pamm.202300114
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2024 | Journal Article | LibreCat-ID: 52218
Lenz, P., & Mahnken, R. (2024). Multiscale simulation of polymer curing of composites combined mean-field homogenisation methods at large strains. International Journal of Solids and Structures, 290, Article 112642. https://doi.org/10.1016/j.ijsolstr.2023.112642
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2024 | Journal Article | LibreCat-ID: 52233
Mahnken, R., & Westermann, H. (2024). Construction of A-stable explicit last-stage diagonal implicit Runge–Kutta (ELDIRK) methods. Computational Mechanics. https://doi.org/10.1007/s00466-024-02442-y
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2023 | Journal Article | LibreCat-ID: 42165
Penner, E., Caylak, I., & Mahnken, R. (2023). Experimental Investigations of Carbon Fiber Reinforced Polymer Composites and Their Constituents to Determine Their Elastic Material Properties and Complementary Inhomogeneous Experiments with Local Strain Considerations. Fibers and Polymers. https://doi.org/10.1007/s12221-023-00122-x
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2023 | Journal Article | LibreCat-ID: 43095
Lenz, P., & Mahnken, R. (2023). Non-local integral-type damage combined to mean-field homogenization methods for composites and its parallel implementation. Composite Structures, Article 116911. https://doi.org/10.1016/j.compstruct.2023.116911
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2023 | Journal Article | LibreCat-ID: 44888
Lenz, P., & Mahnken, R. (2023). Thermo‐chemo‐mechanical modelling of a curing process combined with mean‐field homogenization methods at large strains. PAMM, 22(1). https://doi.org/10.1002/pamm.202200214
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2023 | Preprint | LibreCat-ID: 44887
Cheng, C., Song, C., Mahnken, R., Yuan, Z., Yu, L., & Ju, X. (2023). A Non-Linear Mean-Field Debonding Model at Large Strains for the Analysis of Fibre Kinking in Ud Composites. Elsevier BV.
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2023 | Journal Article | LibreCat-ID: 44891
Westermann, H., & Mahnken, R. (2023). A thermodynamic framework for the phase‐field approach considering carbide precipitation during phase transformations. PAMM, 22(1). https://doi.org/10.1002/pamm.202200080
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2023 | Journal Article | LibreCat-ID: 44892
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
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2023 | Journal Article | LibreCat-ID: 44890
Tchomgue Simeu, A., & Mahnken, R. (2023). Goal‐oriented adaptivity based on a model hierarchy of mean‐field and full‐field homogenization methods in elasto‐plasticity. PAMM, 22(1). https://doi.org/10.1002/pamm.202200053
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2023 | Journal Article | LibreCat-ID: 45757
Mahnken, R. (2023). Derivation of third order Runge–Kutta methods (ELDIRK) by embedding of lower order implicit time integration schemes for local and global error estimation. Computational Mechanics. https://doi.org/10.1007/s00466-023-02347-2
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2023 | Conference Paper | LibreCat-ID: 46762
Tchomgue Simeu, A., & Mahnken, R. (2023). Mesh- and model adaptivity for elasto-plastic mean-field and full-field homogenization based on downwind  and upwind approximations. XI International Conference on Adaptive Modeling and Simulation. https://doi.org/10.23967/admos.2023.054
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2023 | Journal Article | LibreCat-ID: 48464
Westermann, H., & Mahnken, R. (2023). Numerical investigations of new low‐order explicit last stage diagonal implicit Runge–Kutta schemes with the finite‐element method. PAMM, 23(2). https://doi.org/10.1002/pamm.202300071
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2023 | Journal Article | LibreCat-ID: 48465
Westermann, H., & Mahnken, R. (2023). On the accuracy, stability and computational efficiency of explicit last-stage diagonally implicit Runge–Kutta methods (ELDIRK) for the adaptive solution of phase-field problems. Computer Methods in Applied Mechanics and Engineering, 418, Article 116545. https://doi.org/10.1016/j.cma.2023.116545
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2023 | Journal Article | LibreCat-ID: 48673
Lenz, P., Kreutzheide, P., & Mahnken, R. (2023). Multiphase elasto-plastic mean-field homogenisation and its consistent linearisation. Computers & Structures, 290, Article 107160. https://doi.org/10.1016/j.compstruc.2023.107160
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2023 | Journal Article | LibreCat-ID: 49866
Tchomgue Simeu, A., & Mahnken, R. (2023). Downwind and upwind approximations for mesh and model adaptivity of elasto‐plastic composites. PAMM. https://doi.org/10.1002/pamm.202300136
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2023 | Journal Article | LibreCat-ID: 52219
Börger, A., & Mahnken, R. (2023). A micropolar model accounting for asymmetric behavior of cold‐box sand in relation to tensile and compression tests. PAMM. https://doi.org/10.1002/pamm.202300126
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2023 | Dissertation | LibreCat-ID: 52649
Penner, E. (2023). Polymorphic uncertainty in constitutive modeling of polymer composites at different scales. Shaker Verlag. https://doi.org/10.2370/9783844093322
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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
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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
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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
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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
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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
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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
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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
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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
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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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2022 | Journal Article | LibreCat-ID: 23794 | OA
Westermann, H., Reitz, A., Mahnken, R., Schaper, M., & Grydin, O. (2022). Microstructure transformations in a press hardening steel during tailored thermo‐mechanical processing. Steel Research International. https://doi.org/10.1002/srin.202100346
LibreCat | DOI | Download (ext.)
 

2021 | Book Chapter | LibreCat-ID: 29086
Drossel, W.-G., Bobbert, M., Böhme, M., Dammann, C., Dittes, A., Gießmann, M., Hühne, C., Ihlemann, J., Kießling, R., Lampke, T., Lenz, P., Mahnken, R., Meschut, G., Müller, R., Nier, M., Prussak, R., Riemer, M., Sander, S., Schaper, M., … Zinn, C. (2021). Hybridprofile für Trag- und Crashstrukturen. In Intrinsische Hybridverbunde für Leichtbautragstrukturen. https://doi.org/10.1007/978-3-662-62833-1_3
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2021 | Journal Article | LibreCat-ID: 29089
Westermann, H., Reitz, A., Mahnken, R., Grydin, O., & Schaper, M. (2021). Constitutive modeling of viscoplasticity including phase transformations for graded thermo‐mechanical processing. PAMM. https://doi.org/10.1002/pamm.202100041
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2021 | Journal Article | LibreCat-ID: 21708
Lenz, P., & Mahnken, R. (2021). Damage simulation of thermo‐chemo‐elasto‐plastic fibre reinforced composites using mean‐field homogenization methods. PAMM. https://doi.org/10.1002/pamm.202000265
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2021 | Journal Article | LibreCat-ID: 24392
Penner, E., Caylak, I., & Mahnken, R. (2021). An uncertainty model for the curing process of transversely fiber reinforced plastics. PAMM. https://doi.org/10.1002/pamm.202000178
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2021 | Journal Article | LibreCat-ID: 24384
Westermann, H., & Mahnken, R. (2021). Constitutive modeling of dynamic recrystallization coupled to viscoplasticity. PAMM. https://doi.org/10.1002/pamm.202000186
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2021 | Journal Article | LibreCat-ID: 24397
Henkes, A., Caylak, I., & Mahnken, R. (2021). A deep learning driven uncertain full‐field homogenization method. PAMM. https://doi.org/10.1002/pamm.202000180
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2021 | Journal Article | LibreCat-ID: 24390
Mahnken, R., & Westermann, H. (2021). A non-equilibrium thermodynamic framework for viscoplasticity incorporating dynamic recrystallization at large strains. International Journal of Plasticity, Article 102988. https://doi.org/10.1016/j.ijplas.2021.102988
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2021 | Journal Article | LibreCat-ID: 21681
Penner, E., Caylak, I., Mahnken, R., & Dridger, A. (2021). Fuzzy and stochastic approach applied to rubber like materials. Safety and Reliability, 1–19. https://doi.org/10.1080/09617353.2020.1858678
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2021 | Conference Paper | LibreCat-ID: 24388
Westermann, H., & Mahnken, R. (2021). On the Thermodynamics of Dynamic Recrystallization for Viscoplasticity at Large Strains. 14th WCCM-ECCOMAS Congress. https://doi.org/10.23967/wccm-eccomas.2020.261
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2021 | Journal Article | LibreCat-ID: 23431
Cheng, C., Wang, Z., Jin, Z., Ju, X., Schweizer, S., Tröster, T., & Mahnken, R. (2021). Non-linear mean-field modelling of UD composite laminates accounting for average asymmetric plasticity of the matrix, debonding and progressive failure. Composites Part B: Engineering, 224, Article 109209. https://doi.org/10.1016/j.compositesb.2021.109209
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2021 | Journal Article | LibreCat-ID: 27774
Lenz, P., & Mahnken, R. (2021). A general framework for mean-field homogenization of multi-layered linear elastic composites subjected to thermal and curing induced strains. International Journal of Solids and Structures, Article 111266. https://doi.org/10.1016/j.ijsolstr.2021.111266
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2021 | Journal Article | LibreCat-ID: 29088
Ju, X., Mahnken, R., Xu, Y., Liang, L., & Zhou, W. (2021). A nonuniform transformation field analysis for composites with strength difference effects in elastoplasticity. International Journal of Solids and Structures, Article 111103. https://doi.org/10.1016/j.ijsolstr.2021.111103
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2021 | Journal Article | LibreCat-ID: 24376
Henkes, A., Caylak, I., & Mahnken, R. (2021). A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures. Computer Methods in Applied Mechanics and Engineering, Article 114070. https://doi.org/10.1016/j.cma.2021.114070
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2021 | Journal Article | LibreCat-ID: 29085
Cheng, C., & Mahnken, R. (2021). A modified Zerilli–Armstrong model as the asymmetric visco-plastic part of a multi-mechanism model for cutting simulations. Archive of Applied Mechanics, 3869–3888. https://doi.org/10.1007/s00419-021-01982-6
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2021 | Journal Article | LibreCat-ID: 29092
Ju, X., Mahnken, R., Liang, L., & Xu, Y. (2021). Goal-oriented mesh adaptivity for inverse problems in linear micromorphic elasticity. Computers & Structures, Article 106671. https://doi.org/10.1016/j.compstruc.2021.106671
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2021 | Journal Article | LibreCat-ID: 29090
Lenz, P., & Mahnken, R. (2021). Integral‐type non‐local damage simulation of composites using mean‐field homogenization methods. PAMM. https://doi.org/10.1002/pamm.202100081
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2021 | Journal Article | LibreCat-ID: 29091
Henkes, A., Wessels, H., & Mahnken, R. (2021). Physics informed neural networks for continuum micromechanics. PAMM. https://doi.org/10.1002/pamm.202100040
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2020 | Journal Article | LibreCat-ID: 24374
Caylak, I., Penner, E., & Mahnken, R. (2020). Mean-field and full-field homogenization with polymorphic uncertain geometry and material parameters. Computer Methods in Applied Mechanics and Engineering, Article 113439. https://doi.org/10.1016/j.cma.2020.113439
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2019 | Journal Article | LibreCat-ID: 19297
Dridger, A., Caylak, I., Mahnken, R., & Penner, E. (2019). A possibilistic finite element method for sparse data. Safety and Reliability, 58–82. https://doi.org/10.1080/09617353.2018.1552477
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2019 | Journal Article | LibreCat-ID: 13431
Dridger, A., Caylak, I., Mahnken, R., & Penner, E. (2019). “A possibilistic finite element method for sparse data.” Safety and Reliability, 58–82. https://doi.org/10.1080/09617353.2018.1552477
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 13432
Ju, X., & Mahnken, R. (2019). “Goal-oriented h-type adaptive finite elements for micromorphic elastoplasticity.” Computer Methods in Applied Mechanics and Engineering, 297–329. https://doi.org/10.1016/j.cma.2019.01.031
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2019 | Journal Article | LibreCat-ID: 13434
Mäck, M., Caylak, I., Edler, P., Freitag, S., Hanss, M., Mahnken, R., … Penner, E. (2019). “Optimization with constraints considering polymorphic uncertainties.” GAMM-Mitteilungen. https://doi.org/10.1002/gamm.201900005
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2019 | Journal Article | LibreCat-ID: 13805
Mahnken, R., & Ju, X. (2019). Goal‐oriented adaptivity based on a model hierarchy of mean‐field and full‐field homogenization methods in linear elasticity. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6209
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2019 | Journal Article | LibreCat-ID: 13806
Dammann, C., & Mahnken, R. (2019). Simulation of a resin transfer molding process using a phase field approach within the theory of porous media. Composites Part A: Applied Science and Manufacturing, 120, 147–160. https://doi.org/10.1016/j.compositesa.2019.02.022
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2019 | Journal Article | LibreCat-ID: 13807
Ju, X., & Mahnken, R. (n.d.). “Goal-oriented adaptivity on mean-field and full-field homogenization methods considering hierarchical unit cells.” PAMM, 19.
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2019 | Journal Article | LibreCat-ID: 13813
Lenz, P., & Mahnken, R. (2019). “Damage simulation of fiber reinforced composites using mean-field homogenization methods” . PAMM, 19.
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2019 | Journal Article | LibreCat-ID: 19300
Mäck, M., Caylak, I., Edler, P., Freitag, S., Hanss, M., Mahnken, R., Meschke, G., & Penner, E. (2019). Optimization with constraints considering polymorphic uncertainties. GAMM-Mitteilungen, Article e201900005. https://doi.org/10.1002/gamm.201900005
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2019 | Journal Article | LibreCat-ID: 19122
Penner, E., Caylak, I., Dridger, A., & Mahnken, R. (2019). A polynomial chaos expanded hybrid fuzzy-stochastic model for transversely fiber reinforced plastics. Mathematics and Mechanics of Complex Systems, 99–129. https://doi.org/10.2140/memocs.2019.7.99
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2019 | Journal Article | LibreCat-ID: 19120
Caylak, I., Penner, E., & Mahnken, R. (2019). A fuzzy uncertainty model for analytical and numerical homogenization of transversely fiber reinforced plastics. PAMM. https://doi.org/10.1002/pamm.201900356
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2019 | Journal Article | LibreCat-ID: 24429
Ju, X., & Mahnken, R. (2019). Model adaptivity on mean‐field and full‐field homogenization methods considering hierarchical unit cells. PAMM. https://doi.org/10.1002/pamm.201900177
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2019 | Journal Article | LibreCat-ID: 19424
Lenz, P., & Mahnken, R. (2019). Damage simulation of fiber reinforced composites using mean‐field homogenization methods. PAMM. https://doi.org/10.1002/pamm.201900370
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2019 | Book | LibreCat-ID: 19326
Mahnken, R. (2019). Lehrbuch der Technischen Mechanik - Band 2: Elastostatik. https://doi.org/10.1007/978-3-662-58166-7
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2019 | Dissertation | LibreCat-ID: 42187
Widany, K.-U. (2019). Adaptive Finite Element Methods for Direct and Inverse Problems in Nonlinear Solid Mechanics. Shaker.
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2019 | Dissertation | LibreCat-ID: 42190
Damman, C. (2019). Experimental Characterization and Constitutive Modeling of Reinforced Thermoplastic and Thermosetting Polymers. Shaker.
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2019 | Dissertation | LibreCat-ID: 42191
Ju, X. (2019). Adaptive Methods in the Mechanics of Heterogeneous Materials.
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2019 | Dissertation | LibreCat-ID: 42188
Cheng, C. (2019). A multi-mechanism model for cutting simulations combining asymmetric effects and gradient phase transformations.
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2018 | Journal Article | LibreCat-ID: 9899
Düsing, M., & Mahnken, R. (2018). „A coupled phase field/diffusion model for upper and lower bainitic transformation”. International Journal of Solids and Structures, 135, 172–183.
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2018 | Journal Article | LibreCat-ID: 9933
Mahnken, R., Lenz, P., & Dammann, C. (2018). “A least squares approach for effective shear properties in an n-layered sphere model.” Archive of Applied Mechanics, 2081–2099. https://doi.org/10.1007/s00419-018-1431-5
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2018 | Journal Article | LibreCat-ID: 9934
Dammann, C., Caylak, I., & Mahnken, R. (2018). “Sequential biaxial stretching of polycarbonate-films for characterization of strain-induced anisotropy.” GAMM-Mitteilungen. https://doi.org/10.1002/gamm.201800003
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2018 | Journal Article | LibreCat-ID: 9935
Penner, E., Caylak, I., & Mahnken, R. (2018). A multivariate stochastic material model with correlated material parameters. PAMM, 67–68. https://doi.org/10.1002/pamm.201710020
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2018 | Journal Article | LibreCat-ID: 9936
Ju, X., & Mahnken, R. (2018). “Error-controlled homogenization for a class of linear elastic composite problems.” PAMM, 601–602. https://doi.org/10.1002/pamm.201710270
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2018 | Journal Article | LibreCat-ID: 9937
Düsing, M., & Mahnken, R. (2018). “A coupled phase transformation and solute diffusion model for bainitic transformation.” PAMM, 505–506. https://doi.org/10.1002/pamm.201710222
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2018 | Journal Article | LibreCat-ID: 9940
Dridger, A., Caylak, I., & Mahnken, R. (2018). “A fuzzy finite element method for sparse experimental data based on a possibilistic approach.” PAMM, 55–56. https://doi.org/10.1002/pamm.201710016
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2018 | Journal Article | LibreCat-ID: 9996
Ju, X., & Mahnken, R. (2018). “Goal-oriented adaptivity for parameter identification in linear micromorphic elasticity.” PAMM. https://doi.org/10.1002/pamm.201800098
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2018 | Journal Article | LibreCat-ID: 10005
Ju, X., & Mahnken, R. (2018). Goal-oriented adaptivity for linear elastic micromorphic continua based on primal and adjoint consistency analysis. International Journal for Numerical Methods in Engineering, 472–473. https://doi.org/10.1002/nme.5996
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2018 | Journal Article | LibreCat-ID: 10009
Caylak, I., Dridger, A., & Mahnken, R. (2018). “Stochastic hyperelastic modeling considering dependency of material parameters.” Computational Mechanics, 62(6), 1273–1285.
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2018 | Conference Paper | LibreCat-ID: 10097
Ju, X., & Mahnken, R. (2018). „Goal-oriented adaptivity on mean-field and full-field homogenization methods with a view to hierarchical unit cells“. In 31st International Workshop on Research in Mechnanics of Composite. Bad Herrenalb.
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2018 | Conference Paper | LibreCat-ID: 10098
Dridger, A., Caylak, I., Mahnken, R., & Penner, E. (2018). „On the connection between possibility theory and probability box theory in structural mechanics“. In 13th World Congress in Computational Mechanics . New York.
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2018 | Journal Article | LibreCat-ID: 10100
Penner, E., Caylak, I., Dridger, A., & Mahnken, R. (2018). “Possibilistic and stochastic analysis using for rubber-like materials.” PAMM. https://doi.org/10.1002/pamm.201800153
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2018 | Journal Article | LibreCat-ID: 10109
Caylak, I., Penner, E., Dridger, A., & Mahnken, R. (2018). “A fuzzy-stochastic model for transversely fiber reinforced plastics.” PAMM. https://doi.org/10.1002/pamm.201800121
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2018 | Journal Article | LibreCat-ID: 13808
Düsing, M., & Mahnken, R. (2018). “Simulation of upper and lower bainitic transformation with a coupled phase field/diffusion/deformation framework.” PAMM, 18. https://doi.org/10.1002/pamm.201800180
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2018 | Journal Article | LibreCat-ID: 13814
Düsing, M., & Mahnken, R. (2018). A coupled phase field/diffusional/mechanical framework for simulation of upper and lower bainitic transformation. International Journal of Solids and Structures, 162, 45–59. https://doi.org/10.1016/j.ijsolstr.2018.11.027
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2018 | Conference Paper | LibreCat-ID: 19306
Dridger, A., Caylak, I., Mahnken, R., & Penner, E. (2018). On the connection between possibility theory and probability box theory in structural mechanics. 13th World Congress in Computational Mechanics . 13th World Congress in Computational Mechanics , New York.
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2018 | Journal Article | LibreCat-ID: 19308
Caylak, I., Penner, E., Dridger, A., & Mahnken, R. (2018). Stochastic hyperelastic modeling considering dependency of material parameters. Computational Mechanics, 1273–1285. https://doi.org/10.1007/s00466-018-1563-z
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2018 | Journal Article | LibreCat-ID: 19303
Caylak, I., Penner, E., Dridger, A., & Mahnken, R. (2018). A fuzzy‐stochastic model for transversely fiber reinforced plastics. PAMM. https://doi.org/10.1002/pamm.201800121
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2018 | Journal Article | LibreCat-ID: 19426
Mahnken, R., Lenz, P., & Dammann, C. (2018). A least squares approach for effective shear properties in an                                                                  $${{\varvec{n}}}$$                                                                            n                                                                    -layered sphere model. Archive of Applied Mechanics, 2081–2099. https://doi.org/10.1007/s00419-018-1431-5
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2018 | Journal Article | LibreCat-ID: 21709
Dammann, C., Mahnken, R., & Lenz, P. (2018). Derivation of an n-layered composite sphere model for thermo-chemo-mechanical effective properties. PAMM, 581–582. https://doi.org/10.1002/pamm.201710260
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2018 | Book Chapter | LibreCat-ID: 24526
Dridger, A., & Mahnken, R. (2018). Unschärfe in der Simulation im Kontext von Sicherheitsdiskursen. In Wissenschaft im Angesicht »großer gesellschaftlicher Herausforderungen«. https://doi.org/10.14361/9783839440995-003
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24559
Ehlenbröker, U., Petersmann, M., Antretter, T., & Mahnken, R. (2018). Transformation strains for bainitic variant evolution in steel. PAMM, 587–588. https://doi.org/10.1002/pamm.201710263
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24560
Lenz, P., Dammann, C., & Mahnken, R. (2018). The effective shear modulus for ann-layered composite sphere. PAMM, 609–610. https://doi.org/10.1002/pamm.201710274
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 24428
Cheng, C., & Mahnken, R. (2018). A multi-mechanism model for cutting simulation: A Ginzburg-Landau type phase gradient and numerical implementations. International Journal of Solids and Structures, 1–17. https://doi.org/10.1016/j.ijsolstr.2018.10.007
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 19124
Penner, E., Caylak, I., Dridger, A., & Mahnken, R. (2018). Possibilistic and stochastic analysis using for rubber‐like materials. PAMM. https://doi.org/10.1002/pamm.201800153
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 19307
Penner, E., Caylak, I., & Mahnken, R. (2018). A multivariate stochastic material model with correlated material parameters. PAMM, 67–68. https://doi.org/10.1002/pamm.201710020
LibreCat | DOI
 

2018 | Journal Article | LibreCat-ID: 15958
Zinn, C., Bobbert, M., Dammann, C., Wang, Z., Tröster, T., Mahnken, R., Meschut, G., & Schaper, M. (2018). Shear strength and failure behaviour of laser nano-structured and conventionally pre-treated interfaces in intrinsically manufactured CFRP-steel hybrids. Composites Part B: Engineering, 173–185. https://doi.org/10.1016/j.compositesb.2018.05.030
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 9862 | OA
Mahnken, R. (2017). “A variational formulation for fuzzy analysis in continuum mechanics.” Mathematics and Mechanics of Complex Systems, 5(3–4).
LibreCat | Download (ext.)
 

2017 | Book Chapter | LibreCat-ID: 9872
Mahnken, R. (2017). ,,Identification of Material Parameters for Constitutive Equations “. In E. Stein, R. de Borst, & T. J. R. Hughes (Eds.), Encyclopedia of Computational Mechanics (2nd ed., Vol. 4, p. 1165). John Wiley & Sons.
LibreCat
 

2017 | Conference Paper | LibreCat-ID: 9941
Dridger, A., Caylak, I., & Mahnken, R. (2017). “A POSSIBILISTIC APPROACH FOR LINEAR ISOTROPIC ELASTICITY USING THE FUZZY FINITE ELEMENT METHOD.” In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). https://doi.org/10.7712/120217.5392.16813
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 9988
Düsing, M., & Mahnken, R. (2017). “A coupled phase field/diffusion model for upper and lower bainitic transformation.” International Journal of Solids and Structures, 172–183. https://doi.org/10.1016/j.ijsolstr.2017.11.018
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 9989
Ju, X., & Mahnken, R. (2017). “Goal-oriented adaptivity for linear elastic micromorphic continua based on primal and adjoint consistency analysis.” International Journal for Numerical Methods in Engineering, 1017–1039. https://doi.org/10.1002/nme.5541
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 10004
Ju, X., & Mahnken, R. (2017). “Model adaptivity on effective elastic properties coupled with adaptive FEM.” Computer Methods in Applied Mechanics and Engineering, 322, 208–237. https://doi.org/10.1016/j.cma.2017.04.013
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 10006
Dammann, C., Lenz, P., & Mahnken, R. (2017). “Thermo-chemo-mechanical Effective Properties for Homogeneous and Heterogeneous n -Phase Mixtures with Application to Curing.” Procedia CIRP, 66, 51–56. https://doi.org/10.1016/j.procir.2017.03.360
LibreCat | DOI
 

2017 | Journal Article | LibreCat-ID: 10007
Mahnken, R., Dammann, C., & Lenz, P. (2017). (n)- AND (n + 1)-LAYERED COMPOSITE SPHERE MODELS FOR THERMO-CHEMO-MECHANICAL EFFECTIVE PROPERTIES. International Journal for Multiscale Computational Engineering, 15(4), 295–322. https://doi.org/10.1615/intjmultcompeng.2017020304
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