Tailoring an engineered cementitious composite with enhanced mechanical performance at ambient and elevated temperatures using graphene oxide and crumb rubber

被引:7
|
作者
Abdulkadir, Isyaka [1 ,2 ]
Mohammed, Bashar S. [1 ,2 ,3 ]
Al-Yacouby, Ahmad Mahamad [3 ]
Woen, Ean Lee [1 ]
Tafsirojjaman, T. [4 ]
机构
[1] Univ Tenaga Nas, Coll Engn, Dept Civil Engn, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia
[2] Univ Tenaga Nas, Inst Energy Infrastruct, Jalan IKRAM UNITEN, Kajang 43000, Selangor, Malaysia
[3] Univ Teknol PETRONAS, Dept Civil & Environm Engn, Seri Iskandar 32610, Perak Darul Rid, Malaysia
[4] Univ Adelaide, Sch Architecture & Civil Engn, Adelaide 5005, Australia
关键词
Graphene oxide; Crumb rubber; Engineered cementitious composite; Elevated temperatures; Response surface methodology (RSM); FLY-ASH; MICROSTRUCTURAL DAMAGE; RESIDUAL PROPERTIES; PORE PRESSURE; SILICA FUME; BEHAVIOR; FIBER; STRENGTH; ECC; OPTIMIZATION;
D O I
10.1016/j.jmrt.2024.01.059
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the increased use of engineered cementitious composite (ECC) in closed environments and as a structural material, it is necessary to fully understand its performance under elevated temperatures. This research investigates the response of ECC to ambient and elevated temperatures and addresses the issue of explosive spalling by incorporating graphene oxide (GO) and crumb rubber (CR). Twenty GO-modified rubberized ECC mixes were designed using Response surface methodology (RSM), considering GO content, GO concentration for CR pretreatment, CR replacement of fine aggregate, and elevated temperature as the input variables. Results show that mixes with GO and GO-treated CR outperform those without GO or untreated CR at ambient and elevated temperatures. Response predictive models exhibited high coefficient of determination (R2) values ranging from 84 % to 96 %. Multi-objective optimization yielded optimum input factors, resulting in improved mechanical properties that were experimentally validated to confirm the accuracy of the developed models.
引用
收藏
页码:4508 / 4530
页数:23
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