Autor/innen
Luigi Schiano, Institute for Structural Analysis, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; Marc Fina, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany; Razhan S. Ahmed, Institute for Structural Mechanics, Ruhr University Bochum, 44801 Bochum, Germany; Oleksandr Al-Shboul, Chair of Construction Materials, Ruhr University Bochum, 44801 Bochum, Germany; David Ringeloth, Division 8.2 NDT Methods for Civil Engineering, Bundesanstalt für Materialforschung und -prüfung, 12205 Berlin, Germany; Vladislav Gudžulić, Institute for Structural Mechanics, Ruhr University Bochum, 44801 Bochum, Germany; Stefanie Schoen, Institute for Structural Mechanics, Ruhr University Bochum, 44801 Bochum, Germany; Jelena Bijeljić, Division 8.2 NDT Methods for Civil Engineering, Bundesanstalt für Materialforschung und -prüfung, 12205 Berlin, Germany; University of Niš, Faculty of Civil Engineering and Architecture, 18000 Niš, Serbia; Ernst Niederleithinger, Division 8.2 NDT Methods for Civil Engineering, Bundesanstalt für Materialforschung und -prüfung, 12205 Berlin, Germany; Iurie Curoşu, Chair of Construction Materials, Ruhr University Bochum, 44801 Bochum, Germany; Gerrit E. Neu, Institute for Structural Mechanics, Ruhr University Bochum, 44801 Bochum, Germany; Steffen Freitag, Institute for Structural Analysis, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany
Über dieses Buch
Global sustainability goals require the reduction of waste and CO₂ emissions, motivating the reuse of reinforced concrete elements on a structural level. Assessing the structural reliability of such reused elements is particularly challenging, as their performance varies due to aging processes and exposure to environmental influences. In order to take these variabilities into account when performing structural analyses, the appropriate representation of uncertainty is crucial, see e.g. (Schoen, 2025). This contribution focuses on the generation of random fields for uncertainty quantification of spatially variable material properties of reused concrete elements, see (Botte et al., 2025). Correlation properties, such as correlation functions and lengths, are determined from measurement data (see e.g. (Fina et al., 2020)) of removed concrete elements obtained through destructive and non-destructive testing. The generated random fields are integrated into a nonlinear computational model of a reinforced concrete structure. Comprehensive probabilistic analyses are performed to show the influence of different random field approaches on the stochastic load-bearing capacity.
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
Random field modeling approach for uncertainty quantification of reused concrete elements. (2026). In
REC 2026 - 11th International Workshop on Reliable Engineering Computing: Reliability Computations in a Data and Model-Driven World (pp. 287-299). TUDObooks.
https://doi.org/10.17877/tudobooks-11.165
