Probabilistic analysis of concrete cracking using stochastic finite element methods: application to nuclear containment
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ORIGINAL ARTICLE
Probabilistic analysis of concrete cracking using stochastic finite element methods: application to nuclear containment buildings at early age D. E.-M. Bouhjiti
. J. Baroth . F. Dufour . M. Briffaut . B. Masson
Received: 21 January 2020 / Accepted: 21 June 2020 RILEM 2020
Abstract In the case of quasi-homogeneously applied tensile loads, the intrinsic scattering of concrete properties leads to spatially random strain localization, crack initiation and propagation. The modelling of such spatial randomness, in the case of Equivalent-Homogeneous-Material Finite Elements based approaches, can be achieved thanks to the use of Random Fields. However, when aiming at probabilistic analyses, numerous realizations are required which induces a hefty computational time and restricts their applicability to the modelling of large concrete structures. In this contribution, an original probabilistic coupling strategy is provided based on nonintrusive Stochastic Finite Elements Methods. It consists of defining an explicit Surface Response of the cracking patterns expressed in terms of the most
influential inputs using an Adaptive Surface Response Method combined to a Polynomial Chaos Expansion Method. Direct Monte Carlo Method is then applied— to the explicit Surface Response of the cracking patterns—to achieve Global Sensitivity Analysis, Uncertainties Quantification and probabilistic modelling at a reasonable cost. The defined strategy is validated based on a Representative Structural Volume of a 1:3 scaled experimental Containment Building at early age using a weakly coupled thermo-mechanical model. As a result, the study quantifies the effect of the most influential parameters (the Young’s modulus—the tensile strength—the coefficients of thermal expansion and autogenous shrinkages) on concrete cracking at early age and
D. E.-M. Bouhjiti (&) Grenoble INP Partnership Foundation – Industrial Chair PERENITI, Grenoble, France e-mail: [email protected]; [email protected]
D. E.-M. Bouhjiti Currently in Egis Industries, TSA 50012-93188 Montreuil, France
D. E.-M. Bouhjiti J. Baroth (&) F. Dufour M. Briffaut CNRS, Grenoble INP Institute of Engineering University of Grenoble Alpes, 3SR, 38000 Grenoble, France e-mail: [email protected] F. Dufour e-mail: [email protected] M. Briffaut e-mail: [email protected]
F. Dufour PERENITI (EDF SEPTEN/DTG/CIH), Grenoble, France B. Masson Electricite´ De France (EDF-SEPTEN), Lyon, France e-mail: [email protected]
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provides accurate numerical prediction of the cracking patterns (cracks’ number, opening and spacing values) observed on site and their frequencies. Keywords Concrete cracking Non-intrusive stochastic finite elements method Surface response method Polynomial chaos expansion Monte Carlo Early age Containment buildings
1 Introduction Cracks initiate and propagate in concrete when the undergone tensile loads become higher t
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