Hamdoun, A., &; Mahnken, R. (2024). Experimental investigations of uniaxial and biaxial cold stretching within PCfilms and bars using optical measurements. PAMM.https://doi.org/10.1002/pamm.202300114 
LibreCat: /record/52217
DOI: 10.1002/pamm.202300114

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 
LibreCat: /record/52218
DOI: 10.1016/j.ijsolstr.2023.112642

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 
LibreCat: /record/52233
DOI: 10.1007/s00466-024-02442-y

Hamdoun, A., &; Mahnken, R. (2024). A large deformation gradient theory for glassy polymers by means of micromorphic regularization. Archive of Applied Mechanics, 94(5), 1221–1242.https://doi.org/10.1007/s00419-024-02570-0 
LibreCat: /record/54280
DOI: 10.1007/s00419-024-02570-0

Hamdoun, A., &; Mahnken, R. (2024). Uniaxial and biaxial experimental investigation of glassy polymers. Polymer, 299, Article 126981.https://doi.org/10.1016/j.polymer.2024.126981 
LibreCat: /record/54279
DOI: 10.1016/j.polymer.2024.126981

Hamdoun, A., &; Mahnken, R. (2024). Experimental investigations of uniaxial and biaxial cold stretching within PCfilms and bars using optical measurements. PAMM.https://doi.org/10.1002/pamm.202300114 
LibreCat: /record/54281
DOI: 10.1002/pamm.202300114

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 
LibreCat: /record/42165
DOI: 10.1007/s12221-023-00122-x

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 
LibreCat: /record/43095
DOI: 10.1016/j.compstruct.2023.116911

Lenz, P., &; Mahnken, R. (2023). Thermochemomechanical modelling of a curing process combined with meanfield homogenization methods at large strains. PAMM, 22(1).https://doi.org/10.1002/pamm.202200214 
LibreCat: /record/44888
DOI: 10.1002/pamm.202200214

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.
LibreCat: /record/44887

Westermann, H., &; Mahnken, R. (2023). A thermodynamic framework for the phasefield approach considering carbide precipitation during phase transformations. PAMM, 22(1).https://doi.org/10.1002/pamm.202200080 
LibreCat: /record/44891
DOI: 10.1002/pamm.202200080

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: /record/44892
DOI: 10.1002/pamm.202200074

Tchomgue Simeu, A., &; Mahnken, R. (2023). Goaloriented adaptivity based on a model hierarchy of meanfield and fullfield homogenization methods in elastoplasticity. PAMM, 22(1).https://doi.org/10.1002/pamm.202200053 
LibreCat: /record/44890
DOI: 10.1002/pamm.202200053

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 
LibreCat: /record/45757
DOI: 10.1007/s00466-023-02347-2

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 
LibreCat: /record/46762
DOI: 10.23967/admos.2023.054

Westermann, H., &; Mahnken, R. (2023). Numerical investigations of new loworder explicit last stage diagonal implicit Runge–Kutta schemes with the finiteelement method. PAMM, 23(2).https://doi.org/10.1002/pamm.202300071 
LibreCat: /record/48464
DOI: 10.1002/pamm.202300071

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 
LibreCat: /record/48465
DOI: 10.1016/j.cma.2023.116545

Lenz, P., Kreutzheide, P., &; Mahnken, R. (2023). Multiphase elasto-plastic mean-field homogenisation and its consistent linearisation. Computers &;amp; Structures, 290, Article 107160.https://doi.org/10.1016/j.compstruc.2023.107160 
LibreCat: /record/48673
DOI: 10.1016/j.compstruc.2023.107160

Tchomgue Simeu, A., &; Mahnken, R. (2023). Downwind and upwind approximations for mesh and model adaptivity of elastoplastic composites. PAMM.https://doi.org/10.1002/pamm.202300136 
LibreCat: /record/49866
DOI: 10.1002/pamm.202300136

Börger, A., &; Mahnken, R. (2023). A micropolar model accounting for asymmetric behavior of coldbox sand in relation to tensile and compression tests. PAMM.https://doi.org/10.1002/pamm.202300126 
LibreCat: /record/52219
DOI: 10.1002/pamm.202300126

Penner, E. (2023). Polymorphic uncertainty in constitutive modeling of polymer composites at different scales. Shaker Verlag.https://doi.org/10.2370/9783844093322 
LibreCat: /record/52649
DOI: 10.2370/9783844093322

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: /record/54282
DOI: 10.1002/pamm.202200074

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: /record/31185
DOI: 10.1016/j.compstruct.2022.115699

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: /record/30656
DOI: 10.1007/s00419-021-02069-y

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: /record/30655
DOI: 10.1007/s00466-021-02117-y

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: /record/30657
DOI: 10.1016/j.cma.2022.114790

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: /record/34074
DOI: 10.1007/s00419-022-02237-8

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: /record/41485
DOI: 10.2139/ssrn.4259246

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: /record/32592
DOI: 10.1016/j.cma.2022.115199

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: /record/34075
DOI: 10.2140/memocs.2022.10.21

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 
LibreCat: /record/33801
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Westermann, H., Reitz, A., Mahnken, R., Schaper, M., &; Grydin, O. (2022). Microstructure transformations in a press hardening steel during tailored thermomechanical processing. Steel Research International.https://doi.org/10.1002/srin.202100346 
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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.,https://doi.org/10.1007/978-3-662-62833-1_3__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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Westermann, H., Reitz, A., Mahnken, R., Grydin, O., &; Schaper, M. (2021). Constitutive modeling of viscoplasticity including phase transformations for graded thermomechanical processing. PAMM.https://doi.org/10.1002/pamm.202100041 
LibreCat: /record/29089
DOI: 10.1002/pamm.202100041

Lenz, P., &; Mahnken, R. (2021). Damage simulation of thermochemoelastoplastic fibre reinforced composites using meanfield homogenization methods. PAMM.https://doi.org/10.1002/pamm.202000265 
LibreCat: /record/21708
DOI: 10.1002/pamm.202000265

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 
LibreCat: /record/24392
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Westermann, H., &; Mahnken, R. (2021). Constitutive modeling of dynamic recrystallization coupled to viscoplasticity. PAMM.https://doi.org/10.1002/pamm.202000186 
LibreCat: /record/24384
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Henkes, A., Caylak, I., &; Mahnken, R. (2021). A deep learning driven uncertain fullfield homogenization method. PAMM.https://doi.org/10.1002/pamm.202000180 
LibreCat: /record/24397
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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 
LibreCat: /record/24390
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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 
LibreCat: /record/21681
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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 
LibreCat: /record/24388
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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 
LibreCat: /record/23431
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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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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 
LibreCat: /record/29088
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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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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 
LibreCat: /record/29085
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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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Lenz, P., &; Mahnken, R. (2021). Integraltype nonlocal damage simulation of composites using meanfield homogenization methods. PAMM.https://doi.org/10.1002/pamm.202100081 
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DOI: 10.1002/pamm.202100081

Henkes, A., Wessels, H., &; Mahnken, R. (2021). Physics informed neural networks for continuum micromechanics. PAMM.https://doi.org/10.1002/pamm.202100040 
LibreCat: /record/29091
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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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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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Dridger, A., Caylak, I., Mahnken, R., &; Penner, E. (2019). “A possibilistic finite element method for sparse data.”https://doi.org/10.1080/09617353.2018.1552477__Safety and Reliability, 58–82.https://doi.org/10.1080/09617353.2018.1552477 
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Ju, X., &; Mahnken, R. (2019). “Goal-oriented h-type adaptive finite elements for micromorphic elastoplasticity.”https://doi.org/10.1016/j.cma.2019.01.031__Computer Methods in Applied Mechanics and Engineering, 297–329.https://doi.org/10.1016/j.cma.2019.01.031 
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Mäck, M., Caylak, I., Edler, P., Freitag, S., Hanss, M., Mahnken, R.,https://doi.org/10.1002/gamm.201900005__Penner, E. (2019). “Optimization with constraints considering polymorphic uncertainties.”https://doi.org/10.1002/gamm.201900005__GAMM-Mitteilungen.https://doi.org/10.1002/gamm.201900005 
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Mahnken, R., &; Ju, X. (2019). Goaloriented adaptivity based on a model hierarchy of meanfield and fullfield homogenization methods in linear elasticity. International Journal for Numerical Methods in Engineering.https://doi.org/10.1002/nme.6209 
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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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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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Lenz, P., &; Mahnken, R. (2019). “Damage simulation of fiber reinforced composites using mean-field homogenization methods” . PAMM, 19.
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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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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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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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Ju, X., &; Mahnken, R. (2019). Model adaptivity on meanfield and fullfield homogenization methods considering hierarchical unit cells. PAMM.https://doi.org/10.1002/pamm.201900177 
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Lenz, P., &; Mahnken, R. (2019). Damage simulation of fiber reinforced composites using meanfield homogenization methods. PAMM.https://doi.org/10.1002/pamm.201900370 
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Mahnken, R. (2019). Lehrbuch der Technischen Mechanik - Band 2: Elastostatik.https://doi.org/10.1007/978-3-662-58166-7 
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Widany, K.-U. (2019). Adaptive Finite Element Methods for Direct and Inverse Problems in Nonlinear Solid Mechanics. Shaker.
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Damman, C. (2019). Experimental Characterization and Constitutive Modeling of Reinforced Thermoplastic and Thermosetting Polymers. Shaker.
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Ju, X. (2019). Adaptive Methods in the Mechanics of Heterogeneous Materials.
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Cheng, C. (2019). A multi-mechanism model for cutting simulations combining asymmetric effects and gradient phase transformations.
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Düsing, M., &; Mahnken, R. (2018). eA coupled phase field/diffusion model for upper and lower bainitic transformation”. International Journal of Solids and Structures, 135, 1723183.
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Mahnken, R., Lenz, P., &; Dammann, C. (2018). “A least squares approach for effective shear properties in an n-layered sphere model.”https://doi.org/10.1007/s00419-018-1431-5__Archive of Applied Mechanics, 2081–2099.https://doi.org/10.1007/s00419-018-1431-5 
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Dammann, C., Caylak, I., &; Mahnken, R. (2018). “Sequential biaxial stretching of polycarbonate-films for characterization of strain-induced anisotropy.”https://doi.org/10.1002/gamm.201800003__GAMM-Mitteilungen.https://doi.org/10.1002/gamm.201800003 
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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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Ju, X., &; Mahnken, R. (2018). “Error-controlled homogenization for a class of linear elastic composite problems.”https://doi.org/10.1002/pamm.201710270__PAMM, 601–602.https://doi.org/10.1002/pamm.201710270 
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Düsing, M., &; Mahnken, R. (2018). “A coupled phase transformation and solute diffusion model for bainitic transformation.”https://doi.org/10.1002/pamm.201710222__PAMM, 505–506.https://doi.org/10.1002/pamm.201710222 
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Dridger, A., Caylak, I., &; Mahnken, R. (2018). “A fuzzy finite element method for sparse experimental data based on a possibilistic approach.”https://doi.org/10.1002/pamm.201710016__PAMM, 55–56.https://doi.org/10.1002/pamm.201710016 
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Ju, X., &; Mahnken, R. (2018). “Goal-oriented adaptivity for parameter identification in linear micromorphic elasticity.”https://doi.org/10.1002/pamm.201800098__PAMM.https://doi.org/10.1002/pamm.201800098 
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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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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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Ju, X., &; Mahnken, R. (2018). eGoal-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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Dridger, A., Caylak, I., Mahnken, R., &; Penner, E. (2018). eOn 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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Penner, E., Caylak, I., Dridger, A., &; Mahnken, R. (2018). “Possibilistic and stochastic analysis using for rubber-like materials.”https://doi.org/10.1002/pamm.201800153__PAMM.https://doi.org/10.1002/pamm.201800153 
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Caylak, I., Penner, E., Dridger, A., &; Mahnken, R. (2018). “A fuzzy-stochastic model for transversely fiber reinforced plastics.”https://doi.org/10.1002/pamm.201800121__PAMM.https://doi.org/10.1002/pamm.201800121 
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Düsing, M., &; Mahnken, R. (2018). “Simulation of upper and lower bainitic transformation with a coupled phase field/diffusion/deformation framework.”https://doi.org/10.1002/pamm.201800180__PAMM, 18.https://doi.org/10.1002/pamm.201800180 
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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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DOI: 10.1016/j.ijsolstr.2018.11.027

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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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: /record/19308
DOI: 10.1007/s00466-018-1563-z

Caylak, I., Penner, E., Dridger, A., &; Mahnken, R. (2018). A fuzzystochastic model for transversely fiber reinforced plastics. PAMM.https://doi.org/10.1002/pamm.201800121 
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Mahnken, R., Lenz, P., &; Dammann, C. (2018). A least squares approach for effective shear properties in an                                                                 https://doi.org/10.1007/s00419-018-1431-5__$$\'76arvecn$$                                                                            n                                                                    -layered sphere model. Archive of Applied Mechanics, 2081–2099.https://doi.org/10.1007/s00419-018-1431-5 
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DOI: 10.1007/s00419-018-1431-5

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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DOI: 10.1002/pamm.201710260

Dridger, A., &; Mahnken, R. (2018). Unschärfe in der Simulation im Kontext von Sicherheitsdiskursen. In Wissenschaft im Angesichtf»großer gesellschaftlicher Herausforderungen«.https://doi.org/10.14361/9783839440995-003 
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DOI: 10.14361/9783839440995-003

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: 10.1002/pamm.201710263

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: 10.1002/pamm.201710274

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 
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DOI: 10.1016/j.ijsolstr.2018.10.007

Penner, E., Caylak, I., Dridger, A., &; Mahnken, R. (2018). Possibilistic and stochastic analysis using for rubberlike materials. PAMM.https://doi.org/10.1002/pamm.201800153 
LibreCat: /record/19124
DOI: 10.1002/pamm.201800153

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: /record/19307
DOI: 10.1002/pamm.201710020

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: 10.1016/j.compositesb.2018.05.030

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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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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Dridger, A., Caylak, I., &; Mahnken, R. (2017). “A POSSIBILISTIC APPROACH FOR LINEAR ISOTROPIC ELASTICITY USING THE FUZZY FINITE ELEMENT METHOD.”https://doi.org/10.7712/120217.5392.16813__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: 10.7712/120217.5392.16813

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