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Porosity estimation and pore structure characterization of foamed cement paste using non-specialized image digital processing
dc.contributor.author | Chica L | |
dc.contributor.author | Mera C | |
dc.contributor.author | Sepúlveda-Cano L.M | |
dc.contributor.author | Alzate A. | |
dc.date.accessioned | 2023-10-24T19:25:36Z | |
dc.date.available | 2023-10-24T19:25:36Z | |
dc.date.created | 2022 | |
dc.identifier.issn | 13595997 | |
dc.identifier.uri | http://hdl.handle.net/11407/8092 | |
dc.description.abstract | In foamed concrete, porosity is essential because it is strongly related to other properties such as density, permeability, and strength. Porosity measurement (usually expressed as a percentage of total volume) is obtained in a laboratory using experimental water vacuum saturation and MIP methods. However, pore structure -including size, distribution, shape, and connection- is also needed to understand foamed concrete performance. Pore structure characterization is estimated through specialized digital image analysis. Micro CT, scanning electron microscopy or X-ray tomography images are frequently used to obtain pore structure on cellular concrete. However, these images are highly specialized and require equipment that is not easy to find and very expensive. Also, image processing is complex, and it includes some specialized software. This paper presents a pore structure characterization and porosity estimation using non-specialized digital images on foamed cement paste made with alternative agents. The procedure for acquiring images uses only a camera without any specialized equipment. The proposed methodology isolates the pores in the image and measures shape features such as pore diameter, eccentricity, and solidity. Acquiring and processing the images is simpler, faster, and cheaper than other specialized analyses. Results show that the volumetric porosity estimation was entirely accurate, with an estimation deviation of less than 10%. Also, the pore structure parameters such as pore size and distribution of foamed pastes can be quantified accurately. © 2022, The Author(s). | eng |
dc.language.iso | eng | |
dc.publisher | Springer Science and Business Media B.V. | |
dc.relation.isversionof | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137079463&doi=10.1617%2fs11527-022-02031-6&partnerID=40&md5=87b694e10daccf7ce2e6c4332301e8fc | |
dc.source | Mater Struct | |
dc.source | Materials and Structures/Materiaux et Constructions | eng |
dc.subject | Foamed concrete | eng |
dc.subject | Non-specialized images | eng |
dc.subject | Pore segmentation | eng |
dc.subject | Pore structure | eng |
dc.title | Porosity estimation and pore structure characterization of foamed cement paste using non-specialized image digital processing | eng |
dc.type | Article | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.publisher.program | Ingeniería Civil | spa |
dc.type.spa | Artículo | |
dc.identifier.doi | 10.1617/s11527-022-02031-6 | |
dc.relation.citationvolume | 55 | |
dc.relation.citationissue | 7 | |
dc.publisher.faculty | Facultad de Ingenierías | spa |
dc.affiliation | Chica, L., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 30-65, Antioquia, Medellín, 050023, Colombia | |
dc.affiliation | Mera, C., Facultad de Ingenierías, Instituto Tecnológico Metropolitano - ITM, Carrera 54A 30-01, Antioquia, Medellín, 050023, Colombia | |
dc.affiliation | Sepúlveda-Cano, L.M., Escuela de Administración, EAFIT, Carrera 49 N 7 Sur-50, Antioquia, Medellín, 050023, Colombia | |
dc.affiliation | Alzate, A., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 30-65, Antioquia, Medellín, 050023, Colombia | |
dc.relation.references | Gomez, M., An introduction to cellular concrete & advanced engineered foam technology (2015) In: 2015 Engineering and Construction Exchange | |
dc.relation.references | Chung, S.-Y., Lehman, C., Abda Elrahman, M., Stephan, D., Pore characteristics and their effects on the material properties of foamed concrete evaluated using micro-ct images and numerical approaches (2017) Appl Sci, 7 (6), p. 550 | |
dc.relation.references | Narayanan, N., Ramamurthy, K., Structure and properties of aerated concrete: a review (2000) Cem Concr Compos, 22 (5), pp. 321-329 | |
dc.relation.references | Feneuil, B., Roussel, N., Pitois, O., Optimal cement paste yield stress for the production of stable cement foams (2019) Cem Concr Res, 120, pp. 142-151 | |
dc.relation.references | He, J., Gao, Q., Song, X., Bu, X., He, J., Effect of foaming agent on physical and mechanical properties of alkali-activated slag foamed concrete (2019) Constr Build Mater, 226, pp. 280-287 | |
dc.relation.references | Yu, X.G., Luo, S.S., Gao, Y.N., Wang, H.F., Li, Y.X., Wei, Y.R., Wang, X.J., Pore structure and microstructure of foam concrete (2010) Adv Mater Res, 177, pp. 530-532 | |
dc.relation.references | Kearsley, E.P., Wainwright, P.J., Porosity and permeability of foamed concrete (2001) Cem Concr Res, 31 (5), pp. 805-812 | |
dc.relation.references | Li, Y., Dong, W., Li, H., Li, Z., Method of vacuum water absorption to determine the porosity of hardened concrete (2019) Int J Struct Ingeniería Civil Eng Res, 4 (3), pp. 282-286 | |
dc.relation.references | Chica, L., Alzate, A., Cellular concrete review: new trends for application in construction (2019) Constr Build Mater, 200, pp. 637-647 | |
dc.relation.references | Amran, Y., Farzadnia, N., Abang Ali, A., Properties and applications of foamed concrete | |
dc.relation.references | a review (2015) Constr Build Mater, 101, pp. 990-1005 | |
dc.relation.references | Nambiar, E.K.K., Ramamurthy, K., Influence of filler type on the properties of foam concrete (2006) Cem Concr Compos, 28 (5), pp. 475-480 | |
dc.relation.references | Abd Elrahman, M., El Madawy, M.E., Chung, S.-Y., Sikora, P., Stephan, D., Preparation and characterization of ultra-lightweight foamed concrete incorporating lightweight aggregates (2019) Appl Sci, 9 (7), p. 1447 | |
dc.relation.references | Hashim, M., Tantray, M., Comparative study on the performance of protein and synthetic-based foaming agents used in foamed concrete (2021) Case Stud Constr Mater, 14, p. 00524 | |
dc.relation.references | Ahn, J., Jung, J., Kim, S., Han, S.-I., X-ray image analysis of porosity of pervious concretes (2014) Int J GEOMATE Geotech Constr Mater Environ, 6 (1), pp. 796-799 | |
dc.relation.references | Almhdie, A., Rozenbaum, O., Lespessailles, E., Jennane, R., Image processing for the non-destructive characterization of porous media. Application to limestones and trabecular bones (2014) Mathematics and Computers in Simulation, 99, pp. 82-94. , https://doi.org/10.1016/j.matcom.2013.07.003, In: MAMERN IV–2011: The 4th International Conference on Approximation Methods and Numerical Modeling in Environment and Natural Resources- PART I | |
dc.relation.references | Du Plessis, A., Olawuyi, B.J., Boshoff, W.P., Le Roux, S.G., Simple and fast porosity analysis of concrete using x-ray computed tomography (2016) Mater Struct, 49 (1-2), pp. 553-562 | |
dc.relation.references | Guo, Y., Chen, X., Chen, B., Wen, R., Wu, P., Analysis of foamed concrete pore structure of railway roadbed based on x-ray computed tomography (2021) Constr Build Mater, 273 | |
dc.relation.references | Chung, S.-Y., Lehmann, C., Abd Elrahman, M., Stephan, D., Pore characteristics and their effects on the material properties of foamed concrete evaluated using micro-ct images and numerical approaches (2017) Appl Sci, 7 (6), p. 550 | |
dc.relation.references | Elrahman, M.A., Sikora, P., Chung, S.-Y., Stephan, D., The performance of ultra-lightweight foamed concrete incorporating nanosilica (2021) Arch Ingeniería Civil Mech Eng, 21, p. 79 | |
dc.relation.references | Chung, S.-Y., Kim, J.-S., Han, T.-S., Stephan, D., Kamm, P.H., Elrahman, M.A., Characterization of foamed concrete with different additives using multi-scale micro-computed tomography (2022) Constr Build Mater, 319 | |
dc.relation.references | Roy, P., Dutta, S., Dey, N., Dey, G., Chakraborty, S., Ray, R., Adaptive thresholding: A comparative study (2014) 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), pp. 1182-1186. , https://doi.org/10.1109/ICCICCT.2014.6993140 | |
dc.relation.references | Burger, W., Burge, M.J., (2009) Principles of digital image processing, , Springer, London | |
dc.relation.references | Sezgin, M., Sankur, B., Survey over image thresholding techniques and quantitative performance evaluation (2004) J Electron Imaging, 13 (1), pp. 146-165 | |
dc.relation.references | Nixon, M.S., Aguado, A.S., (2019) Feature extraction and image processing for computer vision, , Academic Press, Cambridge | |
dc.relation.references | Kowalski, C.J., On the effects of non-normality on the distribution of the sample product-moment correlation coefficient (1972) J Royal Stat Soc Ser C Appl Stat, 21 (1), pp. 1-12 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | |
dc.identifier.repourl | repourl:https://repository.udem.edu.co/ | |
dc.identifier.instname | instname:Universidad de Medellín |
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