Prediction of the elastic modulus and the splitting tensile strength of concrete incorporating both fine and coarse recycled aggregate

被引：131
作者：
Wang, Yuyin [1 ,2 ]
Zhang, Huan [1 ,3 ]
Geng, Yue [1 ,2 ]
Wang, Qinghe [4 ]
Zhang, Sumei [5 ]
机构：
[1] Harbin Inst Technol, Minist Educ, Key Lab Struct Dynam Behav & Control, Harbin 150090, Heilongjiang, Peoples R China
[2] Harbin Inst Technol, Minist Ind & Informat Technol, Key Lab Smart Prevent & Mitigat Civil Engn Disast, Harbin 150090, Heilongjiang, Peoples R China
[3] Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Heilongjiang, Peoples R China
[4] Shenyang Jianzhu Univ, Sch Civil Engn, Shenyang 110168, Liaoning, Peoples R China
[5] Harbin Inst Technol Shenzhen, Sch Civil & Environm Engn, Shenzhen 518055, Peoples R China
来源：
CONSTRUCTION AND BUILDING MATERIALS | 2019年 / 215卷
基金：
中国国家自然科学基金;
关键词：
Fine recycled aggregate; Coarse recycled aggregate; Elastic modulus model; Splitting tensile strength model; SELF-COMPACTING CONCRETE; LONG-TERM BEHAVIOR; MECHANICAL-PROPERTIES; DEMOLITION WASTE; STRUCTURAL CONCRETE; FLY-ASH; COMPRESSIVE STRENGTH; TRANSITION ZONE; BOND BEHAVIOR; BULK MODULUS;
D O I：
10.1016/j.conbuildmat.2019.04.212
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This study aims to develop models for the elastic modulus (E-c) and splitting tensile strength (f(tsp)) of recycled aggregate concrete (RAC) incorporating coarse recycled aggregate (CRA) and fine recycled aggregate (FRA). An experiment was performed on 15 groups of RAC, using one type of CRA and two types of FRAs. Meanwhile, CRA replacement ratios (r(CRA)) of 0, 50, and 100% were used, while for each r(CRA), three replacement ratios of each FRA (0, 50, and 100%) were investigated. Furthermore, the slump value, compressive strength, E-c, and f(tsp) were tested and analyzed. Based on the results, new models accounting for the influence of recycled aggregate were developed and validated using a database of test data. The results showed that: (1) the influence of FRA on the tested properties is independent of the CRA content, (2) the proposed models can effectively predict the E-c and f(tsp) of RAC. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：332 / 346
页数：15
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