Mechanical improvement of boron nitride nanosheet-reinforced cement paste by multiscale modeling
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | 100724 |
Journal / Publication | Patterns |
Volume | 4 |
Issue number | 5 |
Online published | 7 Apr 2023 |
Publication status | Published - 12 May 2023 |
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DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85153091834&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(a1e221b7-d78f-4147-b875-25728d842db5).html |
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. © 2023 The Authors.
Research Area(s)
- 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
Citation Format(s)
Mechanical improvement of boron nitride nanosheet-reinforced cement paste by multiscale modeling. / Liu, Jialin; Liu, Weihe; Chow, Cheuk Lun et al.
In: Patterns, Vol. 4, No. 5, 100724, 12.05.2023.
In: Patterns, Vol. 4, No. 5, 100724, 12.05.2023.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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