A new intelligence fuzzy-based hybrid metaheuristic algorithm for analyzing the application of tea waste in concrete as natural fiber
•Black tea production.•Fermentation is a crucial processing technique.•Black tea fermentation on the basis of convolutional neural network (CNN). Concrete is an ecologically friendly substance in which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study...
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| Published in | Computers and electronics in agriculture Vol. 190; p. 106420 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.11.2021
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
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| Abstract | •Black tea production.•Fermentation is a crucial processing technique.•Black tea fermentation on the basis of convolutional neural network (CNN).
Concrete is an ecologically friendly substance in which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study was on the impact of Tea Waste (CA) as natural fiber onhardened concrete characteristics as a substitution for cement. Taking account of CO2 generation in cement manufacture, green concrete decreases emissions of CO2 into environmental production to an environmentally-friendly technique of pollution prevention. C1, C2, C3, C4 were then made of concrete of a class of 1, 2, 3, 4 kg reinforced in 1 m3 mix, then prepared and molded 4 distinct concrete types. After 28 days, the flexural and compressive strength tests have been carried out in a proper curing environment on the concrete. The findings were evaluated using the adaptive inference system neuro-fuzzy (ANFIS) to accurately predictthe concrete flexural and compressive strengthwith low error rates. Finally, the reinforced concrete with tea wastes raised the water requirement, but reduced the compressive and flexural strength compared to control mix, however, it was raised while using up to 5.4 kg waste in 1 m3 concrete. The result showed that up to 5 kg of tea wastes in 1 m3 of concrete could also be utilized as natural fibers. Also, ANFIS could show its outperformance in analyzing test results in predicting the compressive and flexural strength. |
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| AbstractList | •Black tea production.•Fermentation is a crucial processing technique.•Black tea fermentation on the basis of convolutional neural network (CNN).
Concrete is an ecologically friendly substance in which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study was on the impact of Tea Waste (CA) as natural fiber onhardened concrete characteristics as a substitution for cement. Taking account of CO2 generation in cement manufacture, green concrete decreases emissions of CO2 into environmental production to an environmentally-friendly technique of pollution prevention. C1, C2, C3, C4 were then made of concrete of a class of 1, 2, 3, 4 kg reinforced in 1 m3 mix, then prepared and molded 4 distinct concrete types. After 28 days, the flexural and compressive strength tests have been carried out in a proper curing environment on the concrete. The findings were evaluated using the adaptive inference system neuro-fuzzy (ANFIS) to accurately predictthe concrete flexural and compressive strengthwith low error rates. Finally, the reinforced concrete with tea wastes raised the water requirement, but reduced the compressive and flexural strength compared to control mix, however, it was raised while using up to 5.4 kg waste in 1 m3 concrete. The result showed that up to 5 kg of tea wastes in 1 m3 of concrete could also be utilized as natural fibers. Also, ANFIS could show its outperformance in analyzing test results in predicting the compressive and flexural strength. Concrete is an ecologically friendly substance in which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study was on the impact of Tea Waste (CA) as natural fiber onhardened concrete characteristics as a substitution for cement. Taking account of CO2 generation in cement manufacture, green concrete decreases emissions of CO2 into environmental production to an environmentally-friendly technique of pollution prevention. C1, C2, C3, C4 were then made of concrete of a class of 1, 2, 3, 4 kg reinforced in 1 m³ mix, then prepared and molded 4 distinct concrete types. After 28 days, the flexural and compressive strength tests have been carried out in a proper curing environment on the concrete. The findings were evaluated using the adaptive inference system neuro-fuzzy (ANFIS) to accurately predictthe concrete flexural and compressive strengthwith low error rates. Finally, the reinforced concrete with tea wastes raised the water requirement, but reduced the compressive and flexural strength compared to control mix, however, it was raised while using up to 5.4 kg waste in 1 m³ concrete. The result showed that up to 5 kg of tea wastes in 1 m3 of concrete could also be utilized as natural fibers. Also, ANFIS could show its outperformance in analyzing test results in predicting the compressive and flexural strength. Concrete is an ecologically friendly substance in which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study was on the impact of Tea Waste (CA) as natural fiber on hardened concrete characteristics as a substitution for cement. Taking account of CO2 generation in cement manufacture, green concrete decreases emissions of CO2 into environmental production to an environmentally-friendly technique of pollution prevention. C1, C2, C3, C4 were then made of concrete of a class of 1, 2, 3, 4 kg reinforced in 1 m3 mix, then prepared and molded 4 distinct concrete types. After 28 days, the flexural and compressive strength tests have been carried out in a proper curing environment on the concrete. The findings were evaluated using the adaptive inference system neuro-fuzzy (ANFIS) to accurately predict the concrete flexural and compressive strength with low error rates. Finally, the reinforced concrete with tea wastes raised the water requirement, but reduced the compressive and flexural strength compared to control mix, however, it was raised while using up to 5.4 kg waste in 1 m3 concrete. The result showed that up to 5 kg of tea wastes in 1 m3 of concrete could also be utilized as natural fibers. Also, ANFIS could show its outperformance in analyzing test results in predicting the compressive and flexural strength. |
| ArticleNumber | 106420 |
| Author | Cao, Yan Rahimi, Abouzar Zandi, Yousef Wu, Yujia Denić, Nebojša Amine Khadimallah, Mohamed Paunović, Marija Fu, Leijie Wang, Qiangfeng Milič, Momir |
| Author_xml | – sequence: 1 givenname: Yan surname: Cao fullname: Cao, Yan email: jantonyz@163.com, jantonyz@163.com organization: School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China – sequence: 2 givenname: Yousef surname: Zandi fullname: Zandi, Yousef email: zandi@iaut.ac.ir organization: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran – sequence: 3 givenname: Abouzar surname: Rahimi fullname: Rahimi, Abouzar organization: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran – sequence: 4 givenname: Yujia surname: Wu fullname: Wu, Yujia organization: School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China – sequence: 5 givenname: Leijie surname: Fu fullname: Fu, Leijie organization: School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China – sequence: 6 givenname: Qiangfeng surname: Wang fullname: Wang, Qiangfeng organization: School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China – sequence: 7 givenname: Nebojša surname: Denić fullname: Denić, Nebojša organization: University of Priština in Kosovska Mitrovica, Faculty of Sciences and Mathematics, Kosovska Mitrovica, Serbia – sequence: 8 givenname: Mohamed surname: Amine Khadimallah fullname: Amine Khadimallah, Mohamed organization: Prince Sattam Bin Abdulaziz University, College of Engineering, Civil Engineering Department, Al-Kharj 16273, Saudi Arabia – sequence: 9 givenname: Momir surname: Milič fullname: Milič, Momir organization: University of Priština in Kosovska Mitrovica, Faculty of Technical Sciences, Kosovska Mitrovica, Serbia – sequence: 10 givenname: Marija surname: Paunović fullname: Paunović, Marija organization: Faculty of Hotel Management and Tourism Vrnjacka Banja, University of Kragujevac, Serbia |
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| Snippet | •Black tea production.•Fermentation is a crucial processing technique.•Black tea fermentation on the basis of convolutional neural network (CNN).
Concrete is... Concrete is an ecologically friendly substance in which green concrete is a revolutionary subject in concrete industry records. The emphasis of this study was... |
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| SubjectTerms | Adaptive systems agriculture Algorithms Carbon dioxide cement compression strength Compressive strength Concrete Concrete industry electronics Flexural strength Fuzzy logic Fuzzy-based hybrid Heuristic methods Hybrid systems manufacturing modulus of rupture Natural Fiber Pollution abatement pollution control Reinforced concrete tea Tea Waste wastes water requirement |
| Title | A new intelligence fuzzy-based hybrid metaheuristic algorithm for analyzing the application of tea waste in concrete as natural fiber |
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