Optimisation of rheological parameters and mechanical properties of Engineered Cementitious Composites (ECC) using regression-based models
View / Open Files
Publication Date
2021Journal Title
Construction and Building Materials
ISSN
0950-0618
Publisher
Elsevier BV
Volume
310
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Tang, Z., Litina, C., & Al-Tabbaa, A. (2021). Optimisation of rheological parameters and mechanical properties of Engineered Cementitious Composites (ECC) using regression-based models. Construction and Building Materials, 310 https://doi.org/10.1016/j.conbuildmat.2021.125281
Abstract
Engineered Cementitious Composites (ECC) have superior mechanical and durability performance than conventional concrete. One of the major challenges of producing ECC is to ensure appropriate rheology for uniform fibre distribution, which is the prerequisite of its strain-hardening robustness. In this study, the combined and interactive effects of polycarboxylate-based superplasticisers (SP) and viscosity modifying admixtures (VMA) on the rheological behaviour of ECC were systematically investigated. The evolution trends of yield stress and plastic viscosity were characterised in detail with a rheometer. The most desirable range of rheological condition for uniform fibre distribution was identified and the optimal SP-VMA combinations were predicted by regression modelling. Results showed that ECC produced with the optimised dosages of SP and VMA exhibited 200% enhancement in deflection under four-point bending. This study provides effective guidance on rheology control and optimisation of ECC materials and could further benefit for more extensive ECC development and applications.
Keywords
Engineered Cementitious Composite (ECC), Strain-hardening, Rheology, Regression analysis, Yield stress (YS), Plastic viscosity (PV), Superplasticiser (SP), Viscosity modifying admixture (VMA)
Sponsorship
Cambridge Trust Scholarship
Funder references
Engineering and Physical Sciences Research Council (EP/P02081X/1)
Engineering and Physical Sciences Research Council (EP/P013848/1)
Identifiers
External DOI: https://doi.org/10.1016/j.conbuildmat.2021.125281
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329889
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk