301. Multi-scale analysis framework for predicting tensile strength of cement paste by combining experiments and simulations.
- Author
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Han, Tong-Seok, Eum, Donghwi, Kim, Se-Yun, Kim, Ji-Su, Lim, Jae-Hong, Park, Kyoungsoo, and Stephan, Dietmar
- Subjects
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TENSILE strength , *ATTENUATION coefficients , *PASTE , *X-ray computed microtomography , *CEMENT , *NANOINDENTATION tests - Abstract
The experimental method that accurately assesses the responses of cementitious materials with complex microstructures requires significant time and effort. To address this issue, a multi-scale analysis approach that synergistically combines experiments and simulations can be adopted. In this study, a framework was designed to evaluate the macroscale (upper-scale) tensile strength of cement paste using microscale (lower-scale) characteristics and properties. The upper- and lower-scale microstructures of the cement paste are obtained through this approach using high-resolution synchrotron X-ray micro-CT. Solid-phase properties at the lower-scale are determined using a nanoindentation experiment and lower-scale micro-CT characteristics. The upper-scale solid phase properties are correlated by comparing the distributions of the linear attenuation coefficients or the grayscale values of the micro-CT images from the two scales. To evaluate the proposed method, splitting tensile test simulations of the cement pastes were conducted with upper-scale solid-phase input material parameters. The simulated results were comparable to the experimental ones. It was concluded that the proposed multi-scale approach combining experiments and simulations can reduce the time and effort required to evaluate the mechanical responses of cement paste. It thus contributes to advancing material innovations. • A multi-scale splitting tensile test simulation approach is proposed. • Cement paste microstructures are characterized by two-scale micro-CT images. • Microscale mechanical properties are determined from nanoindentation tests. • Macroscale input modeling parameters are obtained by a scale-linking strategy. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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