A fuzzy uncertainty model for analytical and numerical homogenization of transversely fiber reinforced plastics
I. Caylak, E. Penner, R. Mahnken, PAMM (2019).

Model adaptivity on meanfield and fullfield homogenization methods considering hierarchical unit cells
X. Ju, R. Mahnken, PAMM (2019).

Damage simulation of fiber reinforced composites using meanfield homogenization methods
P. Lenz, R. Mahnken, PAMM (2019).

Lehrbuch der Technischen Mechanik - Band 2: Elastostatik
R. Mahnken, Lehrbuch Der Technischen Mechanik - Band 2: Elastostatik, Berlin, Heidelberg, 2019.

A least squares approach for effective shear properties in an                                                                   $$\'76arvecn$$                                                                            n                                                                    -layered sphere model
R. Mahnken, P. Lenz, C. Dammann, Archive of Applied Mechanics (2018) 2081–2099.

Derivation of an n-layered composite sphere model for thermo-chemo-mechanical effective properties
C. Dammann, R. Mahnken, P. Lenz, PAMM (2018) 581–582.

Unschärfe in der Simulation im Kontext von Sicherheitsdiskursen
A. Dridger, R. Mahnken, in: Wissenschaft Im Angesichtf»großer Gesellschaftlicher Herausforderungen«, 2018.

Transformation strains for bainitic variant evolution in steel
U. Ehlenbröker, M. Petersmann, T. Antretter, R. Mahnken, PAMM (2018) 587–588.

The effective shear modulus for ann-layered composite sphere
P. Lenz, C. Dammann, R. Mahnken, PAMM (2018) 609–610.

A multi-mechanism model for cutting simulation: A Ginzburg-Landau type phase gradient and numerical implementations
C. Cheng, R. Mahnken, International Journal of Solids and Structures (2018) 1–17.

Possibilistic and stochastic analysis using for rubberlike materials
E. Penner, I. Caylak, A. Dridger, R. Mahnken, PAMM (2018).

A multivariate stochastic material model with correlated material parameters
E. Penner, I. Caylak, R. Mahnken, PAMM (2018) 67–68.

Shear strength and failure behaviour of laser nano-structured and conventionally pre-treated interfaces in intrinsically manufactured CFRP-steel hybrids
C. Zinn, M. Bobbert, C. Dammann, Z. Wang, T. Tröster, R. Mahnken, G. Meschut, M. Schaper, Composites Part B: Engineering (2018) 173–185.

MULTIDIMENSIONAL STOCHASTIC MATERIAL MODELING AT LARGE DEFORMATIONS CONSIDERING PARAMETER CORRELATIONS
E. Penner, I. Caylak, R. Mahnken, in: Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017), 2017.

(n)- AND (n + 1)-LAYERED COMPOSITE SPHERE MODELS FOR THERMO-CHEMO-MECHANICAL EFFECTIVE PROPERTIES
R. Mahnken, C. Dammann, P. Lenz, International Journal for Multiscale Computational Engineering (2017) 295–322.

Thermo-chemo-mechanical Effective Properties for Homogeneous and Heterogeneous n -Phase Mixtures with Application to Curing
C. Dammann, P. Lenz, R. Mahnken, Procedia CIRP (2017) 51–56.

Thermo-Mechanical Simulation of Hard Turning with Macroscopic Models
E. Uhlmann, R. Mahnken, I.M. Ivanov, C. Cheng, in: Lecture Notes in Production Engineering, Cham, 2017.

Effective meso properties for fibre reinforced polymer curing
R. Mahnken, Effective Meso Properties for Fibre Reinforced Polymer Curing, 2017.

A Stochastic Finite Element Method with a Deviatoric-volumetric Split for the Stochastic Linear Isotropic Elasticity Tensor
R. Mahnken, I. Caylak, A. Dridger, A Stochastic Finite Element Method with a Deviatoric-Volumetric Split for the Stochastic Linear Isotropic Elasticity Tensor (2016).

Modeling of variant-interaction during bainitic phase transformation
U. Ehlenbröker, R. Mahnken, M. Petersmann, T. Antretter, IOP Conference Series: Materials Science and Engineering (2016).