Penner E, Caylak I, Mahnken R. An uncertainty model for the curing process of transversely fiber reinforced plastics. PAMM. Published online 2021. doi:10.1002/pamm.202000178

Penner E, Caylak I, Mahnken R, Dridger A. Fuzzy and stochastic approach applied to rubber like materials. Safety and Reliability. Published online 2021:1-19. doi:10.1080/09617353.2020.1858678

Caylak I, Penner E, Mahnken R. Mean-field and full-field homogenization with polymorphic uncertain geometry and material parameters. Computer Methods in Applied Mechanics and Engineering. Published online 2020. doi:10.1016/j.cma.2020.113439

Dridger A, Caylak I, Mahnken R, Penner E. A possibilistic finite element method for sparse data. Safety and Reliability. 2019:58-82. doi:10.1080/09617353.2018.1552477

Mäck M, Caylak I, Edler P, et al. Optimization with constraints considering polymorphic uncertainties. GAMM-Mitteilungen. Published online 2019. doi:10.1002/gamm.201900005

Penner E, Caylak I, Dridger A, Mahnken R. A polynomial chaos expanded hybrid fuzzy-stochastic model for transversely fiber reinforced plastics. Mathematics and Mechanics of Complex Systems. Published online 2019:99-129. doi:10.2140/memocs.2019.7.99

Caylak I, Penner E, Mahnken R. A fuzzy uncertainty model for analytical and numerical homogenization of transversely fiber reinforced plastics. PAMM. Published online 2019. doi:10.1002/pamm.201900356

Dridger A, Caylak I, Mahnken R, Penner E. On the connection between possibility theory and probability box theory in structural mechanics. In: 13th World Congress in Computational Mechanics . ; 2018.

Caylak I, Penner E, Dridger A, Mahnken R. Stochastic hyperelastic modeling considering dependency of material parameters. Computational Mechanics. Published online 2018:1273-1285. doi:10.1007/s00466-018-1563-z

Caylak I, Penner E, Dridger A, Mahnken R. A fuzzystochastic model for transversely fiber reinforced plastics. PAMM. Published online 2018. doi:10.1002/pamm.201800121

Penner E, Caylak I, Dridger A, Mahnken R. Possibilistic and stochastic analysis using for rubberlike materials. PAMM. Published online 2018. doi:10.1002/pamm.201800153

Penner E, Caylak I, Mahnken R. A multivariate stochastic material model with correlated material parameters. PAMM. Published online 2018:67-68. doi:10.1002/pamm.201710020

Penner E, Caylak I, Mahnken R. MULTIDIMENSIONAL STOCHASTIC MATERIAL MODELING AT LARGE DEFORMATIONS CONSIDERING PARAMETER CORRELATIONS. In: Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017). ; 2017. doi:10.7712/120217.5391.16785

Penner E, Caylak I, Nörenberg N, Mahnken R. SFEM for rubber-like materials at large deformations. PAMM. Published online 2016:675-676. doi:10.1002/pamm.201610326