R. G. D. M. Filho, J. M. Rosso, E. Volnistem, R. Vanderlei, D. Longhi, Rodrigo Clemente Thom de Souza, P. R. Paraíso, L. M. D. M. Jorge
{"title":"用显微照片计算分析鉴定迫击炮的火山灰性","authors":"R. G. D. M. Filho, J. M. Rosso, E. Volnistem, R. Vanderlei, D. Longhi, Rodrigo Clemente Thom de Souza, P. R. Paraíso, L. M. D. M. Jorge","doi":"10.12989/CAC.2021.27.2.175","DOIUrl":null,"url":null,"abstract":"The incorporation of pozzolans to Portland cement pastes adds value in the development of new materials for the construction industry. This study presents a new computational method, complementary to the pozzolanic identification by compressive strength at 28 days method, for supporting the validation of pozzolanic mortars for non-structural purposes. An algorithm capable of classifying the pixels of micrographs of specimens fragments was developed. Therefore, comparative analyses were generated from fractional Gaussian representations in four intervals of the same amplitude that indicated the predispositions to form larger void indices (intervals 1 and 2). The results showed that the computational method indicators are in accordance with the physical and chemical indicators.","PeriodicalId":50625,"journal":{"name":"Computers and Concrete","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pozzolanicity identification in mortars by computationalanalysis of micrographs\",\"authors\":\"R. G. D. M. Filho, J. M. Rosso, E. Volnistem, R. Vanderlei, D. Longhi, Rodrigo Clemente Thom de Souza, P. R. Paraíso, L. M. D. M. Jorge\",\"doi\":\"10.12989/CAC.2021.27.2.175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The incorporation of pozzolans to Portland cement pastes adds value in the development of new materials for the construction industry. This study presents a new computational method, complementary to the pozzolanic identification by compressive strength at 28 days method, for supporting the validation of pozzolanic mortars for non-structural purposes. An algorithm capable of classifying the pixels of micrographs of specimens fragments was developed. Therefore, comparative analyses were generated from fractional Gaussian representations in four intervals of the same amplitude that indicated the predispositions to form larger void indices (intervals 1 and 2). The results showed that the computational method indicators are in accordance with the physical and chemical indicators.\",\"PeriodicalId\":50625,\"journal\":{\"name\":\"Computers and Concrete\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2021-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Concrete\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.12989/CAC.2021.27.2.175\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Concrete","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.12989/CAC.2021.27.2.175","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Pozzolanicity identification in mortars by computationalanalysis of micrographs
The incorporation of pozzolans to Portland cement pastes adds value in the development of new materials for the construction industry. This study presents a new computational method, complementary to the pozzolanic identification by compressive strength at 28 days method, for supporting the validation of pozzolanic mortars for non-structural purposes. An algorithm capable of classifying the pixels of micrographs of specimens fragments was developed. Therefore, comparative analyses were generated from fractional Gaussian representations in four intervals of the same amplitude that indicated the predispositions to form larger void indices (intervals 1 and 2). The results showed that the computational method indicators are in accordance with the physical and chemical indicators.
期刊介绍:
Computers and Concrete is An International Journal that focuses on the computer applications in be considered suitable for publication in the journal.
The journal covers the topics related to computational mechanics of concrete and modeling of concrete structures including
plasticity
fracture mechanics
creep
thermo-mechanics
dynamic effects
reliability and safety concepts
automated design procedures
stochastic mechanics
performance under extreme conditions.