Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique
This research intends to explore the sustainable masonry bond formation and interface behaviour of brick masonry bonds with different cement mortar ratios. To test the sustainable behaviour of different brick bonds, different tests were applied to evaluate the performance of the developed five brick...
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| Format: | Article |
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MDPI AG
2019-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/20/4313 |
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| author | Syyed Adnan Raheel Shah Hunain Arshad Muhammad Farhan Syed Safdar Raza Mudasser Muneer Khan Sunera Imtiaz Gullnaz Shahzadi Muhammad Ahmed Qurashi Muhammad Waseem |
| author_facet | Syyed Adnan Raheel Shah Hunain Arshad Muhammad Farhan Syed Safdar Raza Mudasser Muneer Khan Sunera Imtiaz Gullnaz Shahzadi Muhammad Ahmed Qurashi Muhammad Waseem |
| author_sort | Syyed Adnan Raheel Shah |
| collection | DOAJ |
| description | This research intends to explore the sustainable masonry bond formation and interface behaviour of brick masonry bonds with different cement mortar ratios. To test the sustainable behaviour of different brick bonds, different tests were applied to evaluate the performance of the developed five brick masonry structures with the help of four mortar ratios. Following that pattern, the methodologies of a prism triplet test, a bond wrench test, a shear bond test and strength tests for brick masonry were applied. The prism triplet test explained the bonding behaviour of mortar by producing a maximum strength (0.21 MPa) with a 1:3 mix ratio, and the minimum strength (0.095 MPa) with a 1:8 mix ratio. The bond wrench test showed a bond strength of maximum 0.0685 MPa with a mortar ratio of 1:3 and a minimum of 0.035 MPa with a mortar ratio of 1:8. The strength tests for masonry structures expressed that compressive strength (0.786 MPa) and flexural strength (0.352 MPa) were found to be at maximum level with a mortar ratio (1:3) with an English bond formation. For predictions of compressive and flexural strength, artificial neural networks (ANNs) were deployed, and successful predictions of these values along with the relationships between different properties of the material, mortar combinations and bond combinations are presented to complete the exploration of the relationship. This pattern can be helpful for the selection of sustainable brick masonry formations for housing development. |
| first_indexed | 2024-12-10T06:21:11Z |
| format | Article |
| id | doaj.art-a79fd60ab48d4f8c94c6f911cad0fd67 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-10T06:21:11Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a79fd60ab48d4f8c94c6f911cad0fd672022-12-22T01:59:21ZengMDPI AGApplied Sciences2076-34172019-10-01920431310.3390/app9204313app9204313Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making TechniqueSyyed Adnan Raheel Shah0Hunain Arshad1Muhammad Farhan2Syed Safdar Raza3Mudasser Muneer Khan4Sunera Imtiaz5Gullnaz Shahzadi6Muhammad Ahmed Qurashi7Muhammad Waseem8Department of Civil Engineering, Pakistan Institute of Engineering & Technology, Multan 60000, PakistanDepartment of Civil Engineering, Pakistan Institute of Engineering & Technology, Multan 60000, PakistanDepartment of Civil Engineering, Pakistan Institute of Engineering & Technology, Multan 60000, PakistanUniversity College of Engineering & Technology, Bahauddin Zakariya University, Multan 60000, PakistanUniversity College of Engineering & Technology, Bahauddin Zakariya University, Multan 60000, PakistanUniversity College of Engineering & Technology, Bahauddin Zakariya University, Multan 60000, PakistanDepartment of Mechanical Engineering, École de Technologie Supérieure, ÉTS, Montreal, QC H3C 1K3, CanadaDepartment of Civil Engineering, Pakistan Institute of Engineering & Technology, Multan 60000, PakistanDepartment of Environmental Chemistry, Bayreuth Centre for Ecology and Environmental Research, University of Bayreuth, 95440 Bayreuth, GermanyThis research intends to explore the sustainable masonry bond formation and interface behaviour of brick masonry bonds with different cement mortar ratios. To test the sustainable behaviour of different brick bonds, different tests were applied to evaluate the performance of the developed five brick masonry structures with the help of four mortar ratios. Following that pattern, the methodologies of a prism triplet test, a bond wrench test, a shear bond test and strength tests for brick masonry were applied. The prism triplet test explained the bonding behaviour of mortar by producing a maximum strength (0.21 MPa) with a 1:3 mix ratio, and the minimum strength (0.095 MPa) with a 1:8 mix ratio. The bond wrench test showed a bond strength of maximum 0.0685 MPa with a mortar ratio of 1:3 and a minimum of 0.035 MPa with a mortar ratio of 1:8. The strength tests for masonry structures expressed that compressive strength (0.786 MPa) and flexural strength (0.352 MPa) were found to be at maximum level with a mortar ratio (1:3) with an English bond formation. For predictions of compressive and flexural strength, artificial neural networks (ANNs) were deployed, and successful predictions of these values along with the relationships between different properties of the material, mortar combinations and bond combinations are presented to complete the exploration of the relationship. This pattern can be helpful for the selection of sustainable brick masonry formations for housing development.https://www.mdpi.com/2076-3417/9/20/4313sustainabilitybrickmasonry bonddecision-makingartificial neural networks |
| spellingShingle | Syyed Adnan Raheel Shah Hunain Arshad Muhammad Farhan Syed Safdar Raza Mudasser Muneer Khan Sunera Imtiaz Gullnaz Shahzadi Muhammad Ahmed Qurashi Muhammad Waseem Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique Applied Sciences sustainability brick masonry bond decision-making artificial neural networks |
| title | Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique |
| title_full | Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique |
| title_fullStr | Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique |
| title_full_unstemmed | Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique |
| title_short | Sustainable Brick Masonry Bond Design and Analysis: An Application of a Decision-Making Technique |
| title_sort | sustainable brick masonry bond design and analysis an application of a decision making technique |
| topic | sustainability brick masonry bond decision-making artificial neural networks |
| url | https://www.mdpi.com/2076-3417/9/20/4313 |
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