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272 Publications
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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| 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
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| 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
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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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
LibreCat
| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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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| DOI
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
LibreCat
| DOI
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.
LibreCat
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
LibreCat
| DOI
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
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
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| 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
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| 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
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| 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
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| DOI
2017 | Journal Article | LibreCat-ID: 9862 | 
Mahnken, R. (2017). “A variational formulation for fuzzy analysis in continuum mechanics.” Mathematics and Mechanics of Complex Systems, 5(3–4).
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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.
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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
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| 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
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| 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
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 10008
Penner, E., Caylak, I., & Mahnken, R. (2017). “Fuzzy and stochastic analysis of rubber like materials.” In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Rhode Island, 15.-17.06.2017 (pp. 554–564). Rhode Island.
LibreCat
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
| DOI
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
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| 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
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