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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DOI: 10.1002/pamm.201800153

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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DOI: 10.1002/pamm.201800121

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 
LibreCat: /record/13808
DOI: 10.1002/pamm.201800180

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.
LibreCat: /record/19306

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 
LibreCat: /record/19303
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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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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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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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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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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 
LibreCat: /record/9941
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