کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4912757 | 1428754 | 2017 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Influence of mix design variables on engineering properties of carbon fiber-modified electrically conductive concrete
ترجمه فارسی عنوان
تاثیر متغیرهای طراحی مخلوط بر خواص مهندسی بتن اکسیدکربنی الکتریکی کربن
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کلمات کلیدی
DOEECAPCCECONFDAC/FCeA - CEAelectrically conductive concrete - بتن سیمان هدایت الکتریکیPortland cement concrete - بتن سیمان پرتلندPortland cement - سیمان پرتلندDesign of experiments - طراحی آزمایشاتMix design - طراحی مخلوطCarbon fiber - فیبر کربنMethylcellulose - متیل سلولزFiber content - محتوای فیبر
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
This research was inspired by the need to optimize the mix design of electrically conductive concrete (ECON) for field implementation. Carbon fiber was used for producing ECON with different mixing proportions and constituents. Calcium nitrite-based corrosion inhibitor admixture and methylcellulose were used as conductivity-enhancing agent (CEA) and fiber-dispersive agent (FDA) respectively. Five easy-to-change mix design variables were evaluated for their effects on electrical conductivity and strength of ECON: carbon fiber dosage, fiber length, coarse-to-fine aggregate volume ratio (C/F), CEA dosage, and FDA dosage. The results approved the effectiveness of the applied CEA in improving electrical conductivity while positively influencing strength. Conductivity was significantly influenced by: fiber content, C/F, fiber length, and CEA dosage. The dosages of Fiber, CEA, and FDA exerted significant influence on compressive strength. C/F and FDA dosage were significant variables influencing flexural strength.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Construction and Building Materials - Volume 152, 15 October 2017, Pages 168-181
Journal: Construction and Building Materials - Volume 152, 15 October 2017, Pages 168-181
نویسندگان
Alireza Sassani, Halil Ceylan, Sunghwan Kim, Kasthurirangan Gopalakrishnan, Ali Arabzadeh, Peter C. Taylor,