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http://hdl.handle.net/10397/102359
| Title: | Mechanical improvement of boron nitride nanosheet-reinforced cement paste by multiscale modeling | Authors: | Liu, J Liu, W Chow, CL Lau, D |
Issue Date: | 12-May-2023 | Source: | Patterns, 12 May 2023, v. 4, no. 5, 100724 | Abstract: | Representative volume (RVE) models are constructed to mimic the microstructural characteristics of boron nitride nanosheet (BNNS)-reinforced cement paste. The interfacial properties between BNNSs and cement paste are described by the cohesive zone model (CZM) developed by molecular dynamics (MD) simulations. Based on the RVE models and the MD-based CZM, the mechanical properties of the macroscale cement paste are obtained by finite element analysis (FEA). To validate the accuracy of the MD-based CZM, the tensile strength and compressive strength of BNNS-reinforced cement paste from the FEA are compared with those from measurements. The FEA shows that the compressive strength of BNNS-reinforced cement paste is close to that of the measurements. The discrepancy of the tensile strength of BNNS-reinforced cement paste between the FEA and the measurements is distributed to the load transfer at the BNNS-tobermorite interface through the inclined BNNSs. | Keywords: | Boron nitride nanosheets Cementitious composite Cohesive zone model DSML 2: Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem Molecular dynamics simulation Multiscale modeling |
Publisher: | Cell Press | Journal: | Patterns | EISSN: | 2666-3899 | DOI: | 10.1016/j.patter.2023.100724 | Rights: | © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). The following publication Liu, J., Liu, W., Chow, C. L., & Lau, D. (2023). Mechanical improvement of boron nitride nanosheet-reinforced cement paste by multiscale modeling. Patterns, 4(5), 100724 is availale at https://doi.org/10.1016/j.patter.2023.100724. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| 1-s2.0-S2666389923000648-main.pdf | 7.77 MB | Adobe PDF | View/Open |
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