Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology
Engineered Cementitious Composites (ECC) are highly regarded in construction owing to their tensile ductility and crack control capabilities, making them suitable for various structural applications. The accumulation of multi-walled carbon nanotubes (MWCNTs) further enhances their mechanical propert...
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Nature Research
2025
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| author | Bheel N. Mohammed B.S. Woen E.L. |
| author2 | 57217233933 |
| author_facet | 57217233933 Bheel N. Mohammed B.S. Woen E.L. |
| author_sort | Bheel N. |
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| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Engineered Cementitious Composites (ECC) are highly regarded in construction owing to their tensile ductility and crack control capabilities, making them suitable for various structural applications. The accumulation of multi-walled carbon nanotubes (MWCNTs) further enhances their mechanical properties. However, there?s a significant knowledge gap concerning MWCNTs-ECC impact resistance. The objective of this study is to tackle the challenges associated with evaluating, optimizing, and predicting MWCNTs-ECC impact resistance to ensure its safe and widespread use in critical infrastructure by applying response surface methodology (RSM). Moreover, the 13 mixtures of ECC combined with several quantities of PVA fiber and MWCNTs as input elements were utilized to calculate the first (E1) and final (E2) impact energies. The findings demonstrated that the MWCNTs-ECC combinations? impact resistance improved as the input ingredient concentrations increased. Besides, the optimum E1 and E2 of ECC combined with 1% of PVA fiber were noted by 1398 Joules and 12,956 Joules at 0.065% of MWCNTs on 28 days respectively. Furthermore, Response prediction models for E1 and E2 were created, and after being validated with an analysis of variance (ANOVA), it was determined that they had high R2 readings of 99.30% and 99.07%, correspondingly. The optimization process produced an ideal number of input variables for MWCNTs and PVA fiber, respectively, of 0.066% and 1%, with a desirability value of 100%. Moreover, it is recommended that the usage of 0.066% of MWCNTs in ECC combined with 1.0?1.50% PVA fiber provides optimum results for the construction industry. ? The Author(s) 2024. |
| format | Article |
| id | my.uniten.dspace-36083 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Nature Research |
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| spelling | my.uniten.dspace-360832025-03-03T15:41:21Z Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology Bheel N. Mohammed B.S. Woen E.L. 57217233933 57203590522 57215507629 multi walled nanotube polyvinyl alcohol analysis of variance article prediction response surface method Engineered Cementitious Composites (ECC) are highly regarded in construction owing to their tensile ductility and crack control capabilities, making them suitable for various structural applications. The accumulation of multi-walled carbon nanotubes (MWCNTs) further enhances their mechanical properties. However, there?s a significant knowledge gap concerning MWCNTs-ECC impact resistance. The objective of this study is to tackle the challenges associated with evaluating, optimizing, and predicting MWCNTs-ECC impact resistance to ensure its safe and widespread use in critical infrastructure by applying response surface methodology (RSM). Moreover, the 13 mixtures of ECC combined with several quantities of PVA fiber and MWCNTs as input elements were utilized to calculate the first (E1) and final (E2) impact energies. The findings demonstrated that the MWCNTs-ECC combinations? impact resistance improved as the input ingredient concentrations increased. Besides, the optimum E1 and E2 of ECC combined with 1% of PVA fiber were noted by 1398 Joules and 12,956 Joules at 0.065% of MWCNTs on 28 days respectively. Furthermore, Response prediction models for E1 and E2 were created, and after being validated with an analysis of variance (ANOVA), it was determined that they had high R2 readings of 99.30% and 99.07%, correspondingly. The optimization process produced an ideal number of input variables for MWCNTs and PVA fiber, respectively, of 0.066% and 1%, with a desirability value of 100%. Moreover, it is recommended that the usage of 0.066% of MWCNTs in ECC combined with 1.0?1.50% PVA fiber provides optimum results for the construction industry. ? The Author(s) 2024. Final 2025-03-03T07:41:21Z 2025-03-03T07:41:21Z 2024 Article 10.1038/s41598-024-75641-5 2-s2.0-85206536948 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206536948&doi=10.1038%2fs41598-024-75641-5&partnerID=40&md5=85e1774ac4616ef8eb7e3ca9468f078a https://irepository.uniten.edu.my/handle/123456789/36083 14 1 24107 All Open Access; Gold Open Access Nature Research Scopus |
| spellingShingle | multi walled nanotube polyvinyl alcohol analysis of variance article prediction response surface method Bheel N. Mohammed B.S. Woen E.L. Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology |
| title | Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology |
| title_full | Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology |
| title_fullStr | Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology |
| title_full_unstemmed | Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology |
| title_short | Modelling and optimizing the impact resistance of engineered cementitious composites with Multiwalled carbon nanotubes using response surface methodology |
| title_sort | modelling and optimizing the impact resistance of engineered cementitious composites with multiwalled carbon nanotubes using response surface methodology |
| topic | multi walled nanotube polyvinyl alcohol analysis of variance article prediction response surface method |
| url_provider | http://dspace.uniten.edu.my/ |