用显微照片计算分析鉴定迫击炮的火山灰性

IF 2.9 4区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Concrete Pub Date : 2021-02-01 DOI:10.12989/CAC.2021.27.2.175

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":"84 1","pages":"175"},"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\":\"84 1\",\"pages\":\"175\"},\"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}

引用次数: 0

摘要

将火山灰掺入波特兰水泥浆中，为建筑行业开发新材料增加了价值。本研究提出了一种新的计算方法，补充了28天抗压强度法对火山灰的识别，为非结构用途的火山灰砂浆的验证提供了支持。提出了一种能够对标本碎片显微照片像素进行分类的算法。因此，在4个相同振幅的区间(区间1和区间2)中，通过分数阶高斯表示进行对比分析，表明易形成较大空隙指数。结果表明，计算方法指标与理化指标一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Computers and Concrete 工程技术-材料科学：表征与测试

CiteScore

8.60

自引率

7.30%

发文量

审稿时长

13.5 months

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.