Autor/innen
Emily Zeller, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany; Maximilian Schweizer, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany; Marc Fina, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany; Werner Wagner, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany; Steffen Freitag, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany
Über dieses Buch
Thin-walled shell structures achieve high load-bearing capacities with low material consumption. However, they are highly susceptible to stability issues caused by geometric imperfections. To account for these imperfections, random fields are incorporated into finite element (FE) models, and the structural response is evaluated with Monte Carlo simulations. Time-consuming FE analyses can be replaced by an artificial neural network (ANN) surrogate model. When applying the Karhunen-Loève expansion (KLE), the shape of the random field is determined by a correlation length, which may be affected by epistemic uncertainty. Consequently, the random field is modeled using fuzzy correlation lengths, leading to a further increase in computation time. To reduce this effort, an interpolation-based surrogate modeling strategy is proposed and compared with the conventional approach of solving the KLE eigenvalue problem. Within a multilevel surrogate modeling framework, the ANN is combined with least-squares polynomials to perform a structural optimization including fuzzy stochastic analysis. The introduced model is then applied to a fiber composite plate to optimize its thickness and fiber orientation angle. Therefore, both single-objective constrained and multi-objective unconstrained optimization are conducted.
Veröffentlicht
21.08.2026
Copyright (c) 2026 Matthias Faes, Michael Beer, Julian Behrend, Marco Broccardo, Guohai Chen, Hanshu Chen, Jieyu Chen, Fang Cong, Henrik Ebel, Peter Eberhard, Andrea Franchini, Zhuojia Fu, Yanzhao Gu, Michael Hanss, Hui Huang, Md Maidul Islam, Jafar Jafari-Asl, Balsa Jovanovic, Tom Könecke, Olga Kosheleva, Vladik Kreinovich, Hao-Ming Li, Pei-Pei Li, Qinghe Li, Ruikun Li, Stefano Marelli, Rafi L. Muhanna, Robert L. Mullen, Chiara Nardin, Lukáš Novák, Shenghao Piao, Mario Rosenfelder, Styfen Schär, Jan Schneider, Wei Shi, Panagiotis Spyridis, Bruno Sudret, Ruben Van Coile, Bo-Yu Wang, Dixiong Yang, Xuan-Yi Zhang, Zi-Xin Zhang, Bo-Qi Zhao, Yan-Gang Zhao, Zhibao Zheng, Baihong Zhong, Zhaowei Zhou, Marcos A. Valdebenito, Chao Dang, Lan-Xin Li, Marius Bittner, Parth Tambat, Marco Behrendt, Zhao Liu, Ping Zhu, Zlatan Dimitrov, Petar O. Hristov, Meng-Ze Lyu, Yang-Yi Liu, Jian-Bing Chen, Qitian Lu, Miroslav Vořechovský, Ekaterina Auer, Lorenz Gillner, Julien Alexandre dit Sandretto, Binod K. Yadav, Ghifari Adam Faza, Hans Hallez, David Moens, Reza Naeimaei, Steffen Schön, Elisabeth Ötsch, Hans Neuner, Zhanhua Liang, Jingwen Song, Michael Desch, Mehdi Modares, Valentin Nikolov, Paulo Lucas Figueiredo, José Torres Farinha, Hugo Raposo, António J. Marques Cardoso, Alice do Carmo Duarte Rodrigues, Paula Gonçalves, Peihan Chen, Xinyu Zhu, Pengfei Wei, Kaiwen Li, Mansoureh Shahabi, Y. F. Cui, Johannes O. Royset, Salvatore Russotto, Mario Di Paola, Antonina Pirrotta, Til Lux, Johannes Sundheim, Tania Feiri, Udo Wiens, Marcus Ricker, F. Niklas Schietzold, Felix Harazin, Yoshi Diepelt, Wolfgang Graf, Michael Kaliske, Rongyao Song, Changcong Zhou, Xuanyi Zhao, Weiping Zhang, Juntao Hu, Yu Chen, Edoardo Patelli, Tingting Sun, Jianbing Chen, Bouwe Verkens, L. Bogaerts, Patrick Van Rymenant, Maximilian Schweizer, Marc Fina, Werner Wagner, Steffen Freitag, George Stefanou, Dimitros Savvas, Panagiotis Gavalas, Luigi Schiano, Razhan S. Ahmed, Oleksandr Al-Shboul, David Ringeloth, Vladislav Gudžulić, Stefanie Schoen, Jelena Bijeljić, Ernst Niederleithinger, Iurie Curoşu, Gerrit E. Neu, Jia-Hui Fu, Yi Luo, De-Cheng Feng, Xiao-Qiu Ai, Luyi Li, Hao Wang, Tairan Wang, Sifeng Bi, Emily Zeller (Kapitelautor/in)
Zitationsvorschlag
Surrogate modeling strategy for random fields with uncertain correlation lengths. (2026). In
REC 2026 - 11th International Workshop on Reliable Engineering Computing: Reliability Computations in a Data and Model-Driven World (pp. 271-286). TUDObooks.
https://doi.org/10.17877/tudobooks-11.168
