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221 Publications
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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 | 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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
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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
| DOI
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
LibreCat
| DOI
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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