Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth
Image analysis techniques are gaining popularity in the studies of civil engineering materials. However, the current established image analysis methods often require advanced machinery and strict image acquisition procedures which may be challenging in actual construction practices. In this study, w...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG, Basel, Switzerland
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30999/1/Image%20Analysis%20of%20Surface%20Porosity%20Mortar.pdf |
| _version_ | 1796994536703000576 |
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| author | Beng, Wei Chong Rokiah, Othman Putra Jaya, Ramadhansyah Doh, Shu Ing Xiaofeng, Li Mohd Haziman, Wan Ibrahim Mohd Mustafa Al Bakri, Abdullah Sandu, Andrei Victor Płoszaj, Bartosz Szmidla, Janusz Stachowiak, Tomasz |
| author_facet | Beng, Wei Chong Rokiah, Othman Putra Jaya, Ramadhansyah Doh, Shu Ing Xiaofeng, Li Mohd Haziman, Wan Ibrahim Mohd Mustafa Al Bakri, Abdullah Sandu, Andrei Victor Płoszaj, Bartosz Szmidla, Janusz Stachowiak, Tomasz |
| author_sort | Beng, Wei Chong |
| collection | UMP |
| description | Image analysis techniques are gaining popularity in the studies of civil engineering materials. However, the current established image analysis methods often require advanced machinery and strict image acquisition procedures which may be challenging in actual construction practices. In this study, we develop a simplified image analysis technique that uses images with only a digital camera and does not have a strict image acquisition regime. Mortar with 10%, 20%, 30%, and 40% pozzolanic material as cement replacement are prepared for the study. The properties of mortar are evaluated with flow table test, compressive strength test, water absorption test, and surface porosity based on the proposed image analysis technique. The experimental results show that mortar specimens with 20% processed spent bleaching earth (PSBE) achieve the highest 28-day compressive strength and lowest water absorption. The quantified image analysis results show accurate representation of mortar quality with 20% PSBE mortar having the lowest porosity. The regression analysis found strong correlations between all experimental data and the compressive strength. Hence, the developed technique is verified to be feasible as supplementary mortar properties for the study of mortar with pozzolanic material. |
| first_indexed | 2024-03-06T12:49:09Z |
| format | Article |
| id | UMPir30999 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:49:09Z |
| publishDate | 2021 |
| publisher | MDPI AG, Basel, Switzerland |
| record_format | dspace |
| spelling | UMPir309992021-04-09T08:15:34Z http://umpir.ump.edu.my/id/eprint/30999/ Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth Beng, Wei Chong Rokiah, Othman Putra Jaya, Ramadhansyah Doh, Shu Ing Xiaofeng, Li Mohd Haziman, Wan Ibrahim Mohd Mustafa Al Bakri, Abdullah Sandu, Andrei Victor Płoszaj, Bartosz Szmidla, Janusz Stachowiak, Tomasz TH Building construction Image analysis techniques are gaining popularity in the studies of civil engineering materials. However, the current established image analysis methods often require advanced machinery and strict image acquisition procedures which may be challenging in actual construction practices. In this study, we develop a simplified image analysis technique that uses images with only a digital camera and does not have a strict image acquisition regime. Mortar with 10%, 20%, 30%, and 40% pozzolanic material as cement replacement are prepared for the study. The properties of mortar are evaluated with flow table test, compressive strength test, water absorption test, and surface porosity based on the proposed image analysis technique. The experimental results show that mortar specimens with 20% processed spent bleaching earth (PSBE) achieve the highest 28-day compressive strength and lowest water absorption. The quantified image analysis results show accurate representation of mortar quality with 20% PSBE mortar having the lowest porosity. The regression analysis found strong correlations between all experimental data and the compressive strength. Hence, the developed technique is verified to be feasible as supplementary mortar properties for the study of mortar with pozzolanic material. MDPI AG, Basel, Switzerland 2021 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/30999/1/Image%20Analysis%20of%20Surface%20Porosity%20Mortar.pdf Beng, Wei Chong and Rokiah, Othman and Putra Jaya, Ramadhansyah and Doh, Shu Ing and Xiaofeng, Li and Mohd Haziman, Wan Ibrahim and Mohd Mustafa Al Bakri, Abdullah and Sandu, Andrei Victor and Płoszaj, Bartosz and Szmidla, Janusz and Stachowiak, Tomasz (2021) Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth. Materials, 14 (7). pp. 1-16. ISSN 1996-1944. (Published) https://doi.org/10.3390/ma14071658 https://doi.org/10.3390/ma14071658 |
| spellingShingle | TH Building construction Beng, Wei Chong Rokiah, Othman Putra Jaya, Ramadhansyah Doh, Shu Ing Xiaofeng, Li Mohd Haziman, Wan Ibrahim Mohd Mustafa Al Bakri, Abdullah Sandu, Andrei Victor Płoszaj, Bartosz Szmidla, Janusz Stachowiak, Tomasz Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth |
| title | Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth |
| title_full | Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth |
| title_fullStr | Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth |
| title_full_unstemmed | Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth |
| title_short | Image Analysis of Surface Porosity Mortar Containing Processed Spent Bleaching Earth |
| title_sort | image analysis of surface porosity mortar containing processed spent bleaching earth |
| topic | TH Building construction |
| url | http://umpir.ump.edu.my/id/eprint/30999/1/Image%20Analysis%20of%20Surface%20Porosity%20Mortar.pdf |
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