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
DOI: 10.1002/pamm.202000178

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
DOI: 10.1080/09617353.2020.1858678

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 
LibreCat: /record/24374
DOI: 10.1016/j.cma.2020.113439

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 
LibreCat: /record/19297
DOI: 10.1080/09617353.2018.1552477

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 
LibreCat: /record/19300
DOI: 10.1002/gamm.201900005

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 
LibreCat: /record/19122
DOI: 10.2140/memocs.2019.7.99

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 
LibreCat: /record/19120
DOI: 10.1002/pamm.201900356

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
DOI: 10.1002/pamm.201800121

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

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: /record/19309
DOI: 10.7712/120217.5391.16785

Penner, E., Caylak, I., Nörenberg, N., &; Mahnken, R. (2016). SFEM for rubber-like materials at large deformations. PAMM, 675–676.https://doi.org/10.1002/pamm.201610326 
LibreCat: /record/19127
DOI: 10.1002/pamm.201610326