Gas Permeability Prediction of Mortar Samples Based on Different Methods
Gas permeability is one of the durability indicators of cementitious materials; permeability predictions based on pore characteristics are useful approaches to obtain gas permeability when experimental conditions are limited. In this study, the gas permeabilities of mortar are predicted by using the...
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| Format: | Article |
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MDPI AG
2022-04-01
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| Series: | Crystals |
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| Online Access: | https://www.mdpi.com/2073-4352/12/5/581 |
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| author | Zirui Cheng Yiren Wang Jihui Zhao Chunlong Huang |
| author_facet | Zirui Cheng Yiren Wang Jihui Zhao Chunlong Huang |
| author_sort | Zirui Cheng |
| collection | DOAJ |
| description | Gas permeability is one of the durability indicators of cementitious materials; permeability predictions based on pore characteristics are useful approaches to obtain gas permeability when experimental conditions are limited. In this study, the gas permeabilities of mortar are predicted by using the Hagen–Poiseuille equation combined with a processed backscattered electron (BSE) image, the Katz–Thompson equation, and the Winland model with pore parameters obtained from MIP tests. The permeabilities calculated by the BSE method are different from the measured value because the observation range is limited and it is difficult to completely display the actual pore structure. The Katz–Thompson equation underestimates the contribution of coarse capillary pores on permeability, thus the results are two orders of magnitude lower than the measured value. The results obtained from the Winland model are close to the measured permeabilities, which indicate that the Winland model is the most suitable method for predicting gas permeability among the three methods described in this paper. |
| first_indexed | 2024-03-10T03:06:02Z |
| format | Article |
| id | doaj.art-aa218b60c4ba4b75b8cf817134fc6ffa |
| institution | Directory Open Access Journal |
| issn | 2073-4352 |
| language | English |
| last_indexed | 2024-03-10T03:06:02Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Crystals |
| spelling | doaj.art-aa218b60c4ba4b75b8cf817134fc6ffa2023-11-23T10:33:58ZengMDPI AGCrystals2073-43522022-04-0112558110.3390/cryst12050581Gas Permeability Prediction of Mortar Samples Based on Different MethodsZirui Cheng0Yiren Wang1Jihui Zhao2Chunlong Huang3School of Civil Engineering, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, ChinaSchool of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523000, ChinaSchool of Civil Engineering, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, ChinaSchool of Civil Engineering, Guangzhou City University of Technology, Guangzhou 510800, ChinaGas permeability is one of the durability indicators of cementitious materials; permeability predictions based on pore characteristics are useful approaches to obtain gas permeability when experimental conditions are limited. In this study, the gas permeabilities of mortar are predicted by using the Hagen–Poiseuille equation combined with a processed backscattered electron (BSE) image, the Katz–Thompson equation, and the Winland model with pore parameters obtained from MIP tests. The permeabilities calculated by the BSE method are different from the measured value because the observation range is limited and it is difficult to completely display the actual pore structure. The Katz–Thompson equation underestimates the contribution of coarse capillary pores on permeability, thus the results are two orders of magnitude lower than the measured value. The results obtained from the Winland model are close to the measured permeabilities, which indicate that the Winland model is the most suitable method for predicting gas permeability among the three methods described in this paper.https://www.mdpi.com/2073-4352/12/5/581mortargas permeability predictionBSE image processingpore characteristics |
| spellingShingle | Zirui Cheng Yiren Wang Jihui Zhao Chunlong Huang Gas Permeability Prediction of Mortar Samples Based on Different Methods Crystals mortar gas permeability prediction BSE image processing pore characteristics |
| title | Gas Permeability Prediction of Mortar Samples Based on Different Methods |
| title_full | Gas Permeability Prediction of Mortar Samples Based on Different Methods |
| title_fullStr | Gas Permeability Prediction of Mortar Samples Based on Different Methods |
| title_full_unstemmed | Gas Permeability Prediction of Mortar Samples Based on Different Methods |
| title_short | Gas Permeability Prediction of Mortar Samples Based on Different Methods |
| title_sort | gas permeability prediction of mortar samples based on different methods |
| topic | mortar gas permeability prediction BSE image processing pore characteristics |
| url | https://www.mdpi.com/2073-4352/12/5/581 |
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