Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres
The environmental concerns regarding the production of the most widely consumed cement construction material have led to the need for developing sustainable alternatives. Using recycled industry waste products such as fly ash and slag via geopolymerisation has led to the development of geopolymer ce...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Recycling |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-4321/7/4/55 |
| _version_ | 1797408205640302592 |
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| author | Sherin Khadeeja Rahman Riyadh Al-Ameri |
| author_facet | Sherin Khadeeja Rahman Riyadh Al-Ameri |
| author_sort | Sherin Khadeeja Rahman |
| collection | DOAJ |
| description | The environmental concerns regarding the production of the most widely consumed cement construction material have led to the need for developing sustainable alternatives. Using recycled industry waste products such as fly ash and slag via geopolymerisation has led to the development of geopolymer cement—an efficient replacement for ordinary Portland cement (OPC). Adopting geopolymer cement and concrete as a construction material reduces greenhouse gas and promotes the recycling of waste products. This study explores the suitability of a unique geopolymer concrete mix made of recycled cementitious materials including industry waste products such as fly ash, micro fly ash and slag for use in aggressive environments. Sorptivity tests are conducted to assess the durability of concrete and indicate the cementitious material’s ability to transmit water through the capillary forces. This study thus reports on the sorptivity characteristics of a newly developed self-compacting geopolymer concrete and two other fibre geopolymer concrete mixes containing 1% (by weight) of 12 mm- or 30 mm-long basalt fibres. The addition of basalt fibres indicated less water absorption and moisture ingress than the mix without fibres. The study used 18 specimens from three geopolymer concrete mixes, and the results showed that adding fibres improved the durability performance in terms of resistance to moisture ingress. Finally, an artificial neural network model is developed to predict the absorption rates of geopolymer concrete specimens using MATLAB. The prediction models reported excellent agreement between experimental and simulated datasets. |
| first_indexed | 2024-03-09T03:55:01Z |
| format | Article |
| id | doaj.art-df1878fcb38e4fe7a1c8882155ca7d8b |
| institution | Directory Open Access Journal |
| issn | 2313-4321 |
| language | English |
| last_indexed | 2024-03-09T03:55:01Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Recycling |
| spelling | doaj.art-df1878fcb38e4fe7a1c8882155ca7d8b2023-12-03T14:22:35ZengMDPI AGRecycling2313-43212022-08-01745510.3390/recycling7040055Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt FibresSherin Khadeeja Rahman0Riyadh Al-Ameri1School of Engineering, Deakin University, Waurn Ponds, VIC 3216, AustraliaSchool of Engineering, Deakin University, Waurn Ponds, VIC 3216, AustraliaThe environmental concerns regarding the production of the most widely consumed cement construction material have led to the need for developing sustainable alternatives. Using recycled industry waste products such as fly ash and slag via geopolymerisation has led to the development of geopolymer cement—an efficient replacement for ordinary Portland cement (OPC). Adopting geopolymer cement and concrete as a construction material reduces greenhouse gas and promotes the recycling of waste products. This study explores the suitability of a unique geopolymer concrete mix made of recycled cementitious materials including industry waste products such as fly ash, micro fly ash and slag for use in aggressive environments. Sorptivity tests are conducted to assess the durability of concrete and indicate the cementitious material’s ability to transmit water through the capillary forces. This study thus reports on the sorptivity characteristics of a newly developed self-compacting geopolymer concrete and two other fibre geopolymer concrete mixes containing 1% (by weight) of 12 mm- or 30 mm-long basalt fibres. The addition of basalt fibres indicated less water absorption and moisture ingress than the mix without fibres. The study used 18 specimens from three geopolymer concrete mixes, and the results showed that adding fibres improved the durability performance in terms of resistance to moisture ingress. Finally, an artificial neural network model is developed to predict the absorption rates of geopolymer concrete specimens using MATLAB. The prediction models reported excellent agreement between experimental and simulated datasets.https://www.mdpi.com/2313-4321/7/4/55geopolymer concreterecycled fly ashmicro fly ashslagwater absorptionsorptivity |
| spellingShingle | Sherin Khadeeja Rahman Riyadh Al-Ameri Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres Recycling geopolymer concrete recycled fly ash micro fly ash slag water absorption sorptivity |
| title | Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres |
| title_full | Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres |
| title_fullStr | Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres |
| title_full_unstemmed | Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres |
| title_short | Experimental and Artificial Neural Network-Based Study on the Sorptivity Characteristics of Geopolymer Concrete with Recycled Cementitious Materials and Basalt Fibres |
| title_sort | experimental and artificial neural network based study on the sorptivity characteristics of geopolymer concrete with recycled cementitious materials and basalt fibres |
| topic | geopolymer concrete recycled fly ash micro fly ash slag water absorption sorptivity |
| url | https://www.mdpi.com/2313-4321/7/4/55 |
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