Optimization of mortar self-healing performance-based on response surface methodology: A multifactor analysis of zeolites, crystalline admixtures, and water-to-binder ratio.
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| Title: | Optimization of mortar self-healing performance-based on response surface methodology: A multifactor analysis of zeolites, crystalline admixtures, and water-to-binder ratio. |
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| Authors: | Li, Hong-Feng1 (AUTHOR), Ma, Xiang1 (AUTHOR), Zhang, Guang-Zhu1 (AUTHOR) zhangks@nefu.edu.cn |
| Source: | Construction & Building Materials. Dec2023, Vol. 409, pN.PAG-N.PAG. 1p. |
| Subjects: | Mortar, Response surfaces (Statistics), Ultrasonic testing, Zeolites, Calcium silicate hydrate, Healing, Electrical resistivity |
| Abstract: | • RSM is used for experimental design analysis and optimization. • Use the RSM model to evaluate the impact of Zeolites, CA, and water-to-binder ratio on the self-healing performance of mortar. • Determine the optimal mixing ratio to maximize the self-healing performance of the mortar. • Microanalysis reveals that Zeolites and CA change the mortar's microstructure, enhancing the crack self-healing effects. To address the issue of concrete structures being prone to crack failure, this study employs the response surface method (RSM) to evaluate the impact of adding zeolites and crystalline admixture (CA) on the self-healing performance of mortar. Initially, zeolite amount, CA amount, and the water-to-binder ratio (W/B) are considered as response factors, using ultrasonic pulse velocity (UPV), electrical resistivity, and the self-healing rate as the response target values. UPV and electrical resistivity are used to monitor self-healing process, while self-healing rate quantifies healing of cracks. Subsequently, through designing experiments with RSM, a regression model is established, achieving multi-objective optimization of the mortar self-healing rate, and experimental validation is carried out for the optimized combinations. Finally, the mechanical properties of mortar specimens are studied, and scanning electron microscopy (SEM) and X-ray diffraction (XRD) are used to analyze the microstructure and crystal phase composition of the crack healing fillers. The quadratic polynomial model has a high degree of fit, and the error between the measured and predicted values is less than 10%, indicating the reliability of RSM in determining the optimal mix parameters for mortar self-healing. The SEM and XRD results further confirm that the moisture released by zeolites promotes the activation reaction of CA, generating a larger amount and more densely structured calcium silicate hydrate (C-S-H) gel. Moreover, the research results show that although incorporation zeolites diminishes mortar specimens' strength, incorporation zeolites promotes the generation of C-S-H gel within the cracks, attributable to activation reaction of CA, ultimately promoting crack healing and improving the strength of the mortar. Based on optimization analysis, the optimal amounts of zeolites, CA, and W/B were determined to be 20%, 4%, and 0.45, respectively. [ABSTRACT FROM AUTHOR] |
| Copyright of Construction & Building Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 173971138 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimization of mortar self-healing performance-based on response surface methodology: A multifactor analysis of zeolites, crystalline admixtures, and water-to-binder ratio. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Hong-Feng%22">Li, Hong-Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Xiang%22">Ma, Xiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Guang-Zhu%22">Zhang, Guang-Zhu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangks@nefu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Construction+%26+Building+Materials%22">Construction & Building Materials</searchLink>. Dec2023, Vol. 409, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mortar%22">Mortar</searchLink><br /><searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+testing%22">Ultrasonic testing</searchLink><br /><searchLink fieldCode="DE" term="%22Zeolites%22">Zeolites</searchLink><br /><searchLink fieldCode="DE" term="%22Calcium+silicate+hydrate%22">Calcium silicate hydrate</searchLink><br /><searchLink fieldCode="DE" term="%22Healing%22">Healing</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+resistivity%22">Electrical resistivity</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • RSM is used for experimental design analysis and optimization. • Use the RSM model to evaluate the impact of Zeolites, CA, and water-to-binder ratio on the self-healing performance of mortar. • Determine the optimal mixing ratio to maximize the self-healing performance of the mortar. • Microanalysis reveals that Zeolites and CA change the mortar's microstructure, enhancing the crack self-healing effects. To address the issue of concrete structures being prone to crack failure, this study employs the response surface method (RSM) to evaluate the impact of adding zeolites and crystalline admixture (CA) on the self-healing performance of mortar. Initially, zeolite amount, CA amount, and the water-to-binder ratio (W/B) are considered as response factors, using ultrasonic pulse velocity (UPV), electrical resistivity, and the self-healing rate as the response target values. UPV and electrical resistivity are used to monitor self-healing process, while self-healing rate quantifies healing of cracks. Subsequently, through designing experiments with RSM, a regression model is established, achieving multi-objective optimization of the mortar self-healing rate, and experimental validation is carried out for the optimized combinations. Finally, the mechanical properties of mortar specimens are studied, and scanning electron microscopy (SEM) and X-ray diffraction (XRD) are used to analyze the microstructure and crystal phase composition of the crack healing fillers. The quadratic polynomial model has a high degree of fit, and the error between the measured and predicted values is less than 10%, indicating the reliability of RSM in determining the optimal mix parameters for mortar self-healing. The SEM and XRD results further confirm that the moisture released by zeolites promotes the activation reaction of CA, generating a larger amount and more densely structured calcium silicate hydrate (C-S-H) gel. Moreover, the research results show that although incorporation zeolites diminishes mortar specimens' strength, incorporation zeolites promotes the generation of C-S-H gel within the cracks, attributable to activation reaction of CA, ultimately promoting crack healing and improving the strength of the mortar. Based on optimization analysis, the optimal amounts of zeolites, CA, and W/B were determined to be 20%, 4%, and 0.45, respectively. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Construction & Building Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.conbuildmat.2023.134015 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Mortar Type: general – SubjectFull: Response surfaces (Statistics) Type: general – SubjectFull: Ultrasonic testing Type: general – SubjectFull: Zeolites Type: general – SubjectFull: Calcium silicate hydrate Type: general – SubjectFull: Healing Type: general – SubjectFull: Electrical resistivity Type: general Titles: – TitleFull: Optimization of mortar self-healing performance-based on response surface methodology: A multifactor analysis of zeolites, crystalline admixtures, and water-to-binder ratio. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Hong-Feng – PersonEntity: Name: NameFull: Ma, Xiang – PersonEntity: Name: NameFull: Zhang, Guang-Zhu IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09500618 Numbering: – Type: volume Value: 409 Titles: – TitleFull: Construction & Building Materials Type: main |
| ResultId | 1 |
