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221 Publications
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
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| 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
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2017 | Conference Paper | LibreCat-ID: 19309
Penner, E., Caylak, I., & Mahnken, R. (2017). MULTIDIMENSIONAL STOCHASTIC MATERIAL MODELING AT LARGE DEFORMATIONS CONSIDERING PARAMETER CORRELATIONS. Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). https://doi.org/10.7712/120217.5391.16785
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2017 | Journal Article | LibreCat-ID: 19423
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, 295–322. https://doi.org/10.1615/intjmultcompeng.2017020304
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2017 | Journal Article | LibreCat-ID: 21710
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, 51–56. https://doi.org/10.1016/j.procir.2017.03.360
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2017 | Book Chapter | LibreCat-ID: 24521
Uhlmann, E., Mahnken, R., Ivanov, I. M., & Cheng, C. (2017). Thermo-Mechanical Simulation of Hard Turning with Macroscopic Models. In Lecture Notes in Production Engineering. https://doi.org/10.1007/978-3-319-57120-1_7
LibreCat
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2017 | Book | LibreCat-ID: 45108
Mahnken, R. (2017). Effective meso properties for fibre reinforced polymer curing.
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2016 | Journal Article | LibreCat-ID: 24644
Mahnken, R., Caylak, I., & Dridger, A. (2016). A Stochastic Finite Element Method with a Deviatoric-volumetric Split for the Stochastic Linear Isotropic Elasticity Tensor. A Stochastic Finite Element Method with a Deviatoric-Volumetric Split for the Stochastic Linear Isotropic Elasticity Tensor. https://doi.org/10.24352/UB.OVGU-2017-003
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2016 | Journal Article | LibreCat-ID: 24647
Ehlenbröker, U., Mahnken, R., Petersmann, M., & Antretter, T. (2016). Modeling of variant-interaction during bainitic phase transformation. IOP Conference Series: Materials Science and Engineering, Article 012016. https://doi.org/10.1088/1757-899x/119/1/012016
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2016 | Journal Article | LibreCat-ID: 24642
Cheng, C., & Mahnken, R. (2016). Extension of a multi-mechanism model: Hardness-based flow and transformation induced plasticity for austenitization. International Journal of Solids and Structures, 127–141. https://doi.org/10.1016/j.ijsolstr.2016.10.010
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2016 | Journal Article | LibreCat-ID: 26269
Schneidt, A., & Mahnken, R. (2016). Macromodelling of Transformation Induced Plasticity combined with Viscoplasticity for Low-Alloy Steels. Steel Research International, 116–123. https://doi.org/10.1002/srin.200806326
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| DOI
2016 | Journal Article | LibreCat-ID: 24646
Dammann, C., & Mahnken, R. (2016). Determination of effective properties for CFRP curing coupled to viscoleasticity based on a three-scale framework. PAMM, 517–518. https://doi.org/10.1002/pamm.201610247
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2016 | Journal Article | LibreCat-ID: 24645
Düsing, M., & Mahnken, R. (2016). A thermodynamic framework for coupled multiphase field and diffusion models for lower bainite transformation. PAMM, 321–322. https://doi.org/10.1002/pamm.201610149
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2016 | Journal Article | LibreCat-ID: 24643
Ju, X., & Mahnken, R. (2016). Two accuracy improvements on nonuniform transformation field analysis for plasticity coupled to softening. PAMM, 527–528. https://doi.org/10.1002/pamm.201610252
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2016 | Journal Article | LibreCat-ID: 24652
Düsing, M., & Mahnken, R. (2016). A thermodynamic framework for coupled multiphase Ginzburg-Landau/Cahn-Hilliard systems for simulation of lower bainitic transformation. Archive of Applied Mechanics, 1947–1964. https://doi.org/10.1007/s00419-016-1161-5
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2016 | Journal Article | LibreCat-ID: 24651
Mahnken, R., & Dammann, C. (2016). A three-scale framework for fibre-reinforced-polymer curing part II: Mesoscopic modeling and macroscopic effective properties. International Journal of Solids and Structures, 356–375. https://doi.org/10.1016/j.ijsolstr.2016.09.005
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2016 | Journal Article | LibreCat-ID: 24655
Mahnken, R., & Dammann, C. (2016). A three-scale framework for fibre-reinforced-polymer curing Part I: Microscopic modeling and mesoscopic effective properties. International Journal of Solids and Structures, 341–355. https://doi.org/10.1016/j.ijsolstr.2016.09.003
LibreCat
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2016 | Journal Article | LibreCat-ID: 24654
Ju, X., & Mahnken, R. (2016). An NTFA-based homogenization framework considering softening effects. Mechanics of Materials, 106–125. https://doi.org/10.1016/j.mechmat.2016.01.007
LibreCat
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2016 | Journal Article | LibreCat-ID: 24653
Mahnken, R., Cheng, C., Düsing, M., Ehlenbröker, U., & Leismann, T. (2016). The concept of generalized stresses for computational manufacturing and beyond. GAMM-Mitteilungen, 229–265. https://doi.org/10.1002/gamm.201610014
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