Analysis of Mechanical Properties of Self Compacted Concrete by Partial Replacement of Cement with Industrial Wastes under Elevated Temperature

被引:32
|
作者
Mansoor, Junaid [1 ]
Shah, Syyed Adnan Raheel [1 ,2 ]
Khan, Mudasser Muneer [3 ]
Sadiq, Abdullah Naveed [1 ]
Anwar, Muhammad Kashif [1 ]
Siddiq, Muhammad Usman [1 ]
Ahmad, Hassam [1 ]
机构
[1] Pakistan Inst Engn & Technol, Dept Civil Engn, Multan 66000, Pakistan
[2] Hasselt Univ, Inst Mobiliteit, Wetenschapspk 5 Bus 6, B-3590 Diepenbeek, Belgium
[3] Bahauddin Zakariya Univ, Univ Coll Engn & Technol, Dept Civil Engn, Multan 66000, Pakistan
来源
APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 03期
关键词
mechanical properties; silica fume (SF); Ground Granulated Blast Furnace Slag (GGBFS); marble powder; Self Compacting Concrete (SCC); Artificial Neural Networks (ANNs); DIFFERENT CURING CONDITIONS; COMPRESSIVE STRENGTH; SILICA FUME; MIX DESIGN; FLY-ASH; PERFORMANCE; MARBLE; FILLER; WORKABILITY; PREDICTION;
D O I
10.3390/app8030364
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Self-Compacting Concrete (SCC) differs from the normal concrete as it has the basic capacity to consolidate under its own weight. The increased awareness regarding environmental disturbances and its hazardous effects caused by blasting and crushing procedures of stone, it becomes a delicate and obvious issue for construction industry to develop an alternative remedy as material which can reduce the environmental hazards and enable high-performance strength to the concrete, which would make it durable and efficient for work. A growing trend is being established all over the world to use industrial byproducts and domestic wastes as a useful raw material in construction, as it provides an eco-friendly edge to the construction process and especially for concrete. This study aims to enlighten the use and comparative analysis for the performance of concrete with added industrial byproducts such as Ground Granulated Blast Furnace Slag (GGBFS), Silica fumes (SF) and Marble Powder (MP) in the preparation of SCC. This paper deals with the prediction of mechanical properties (i.e., compressive, tensile and flexural Strength) of self-compacting concrete by considering four major factors such as type of additive, percentage additive replaced, curing days and temperature using Artificial Neural Networks (ANNs).
引用
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页数:20
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