Assessment of Rice Husk Ash (RHA) and Calcium Chloride (CaCl2) on Compressive Strength of Concrete Grade 20

被引:1
|
作者
Ige, Joseph A. [1 ]
Anifowose, Mukaila A. [2 ]
Odeyemi, Samson O. [3 ]
Adebara, Suleiman A. [4 ]
Oyeleke, Mufutau O. [2 ]
机构
[1] Ladoke Akintola Univ Technol, Dept Civil Engn, Ogbomosho, Nigeria
[2] Fed Polytech, Dept Civil Engn, Offa, Nigeria
[3] Kwara State Univ, Dept Civil Engn, Malete, Nigeria
[4] Fed Polytech, Dept Civil Engn, Ede, Nigeria
关键词
Rice Husk Ash; Calcium Chloride (CaCl2); Cement; Concrete; Compressive Strength;
D O I
10.4028/www.scientific.net/JERA.40.22
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This research assessed the effect of Nigerian rice husk ash (RHA) and calcium chloride (CaCl2) as partial replacement of cement in concrete grade 20. Rice husk ash (RHA) is obtained by combustion of rice husk in a controlled temperature. The replacement of OPC with rice husk ash (RHA) were 0%, 5%, 10%, 15% and 20%. 1% of Calcium Chloride was blended with OPC/RHA in all the test specimens except from control mix. Concrete cubes of sizes 150mm x 150mm x 150mm were cast and cured in water for 7, 14 and 28 days respectively. Slump test was conducted on fresh concrete while density test and compressive strength test were conducted on hardened concrete. The slump results revealed that the concrete becomes less workable (stiff) as percentage increases. The compressive strength result at 28 days revealed that 5%RHA/1%CaCl2 have the highest strength of 26.82N/mm(2) while 20%RHA/1%CaCl2 have the lowest strength (21.48N/mm(2)). Integration of 5%RHA/1%CaCl2 and 10%RHA/1%CaCl2 as cement replacement will produce a concrete of higher compressive strength compared to conventional concrete in grade 20 concrete.
引用
收藏
页码:22 / 29
页数:8
相关论文
共 50 条
  • [31] SYNERGIC EFFECT OF RICE HUSK ASH AND SILICA FUME ON COMPRESSIVE STRENGTH OF ULTRA HIGH PERFORMANCE CONCRETE
    Nguyen Van Tuan
    Ye, Guang
    van Breugel, Klaas
    Pham Huu Hanh
    INTERNATIONAL RILEM CONFERENCE ON MATERIAL SCIENCE (MATSCI), VOL III, 2010, 77 : 255 - +
  • [32] Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete
    Amin, Muhammad Nasir
    Iqtidar, Ammar
    Khan, Kaffayatullah
    Javed, Muhammad Faisal
    Shalabi, Faisal, I
    Qadir, Muhammad Ghulam
    CRYSTALS, 2021, 11 (07)
  • [33] Compressive Strength Prediction of Rice Husk Ash Concrete Using a Hybrid Artificial Neural Network Model
    Li, Chuanqi
    Mei, Xiancheng
    Dias, Daniel
    Cui, Zhen
    Zhou, Jian
    MATERIALS, 2023, 16 (08)
  • [34] Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison
    Iftikhar, Bawar
    Alih, Sophia C.
    Vafaei, Mohammadreza
    Elkotb, Mohamed Abdelghany
    Shutaywi, Meshal
    Javed, Muhammad Faisal
    Deebani, Wejdan
    Khan, M. Ijaz
    Aslam, Fahid
    JOURNAL OF CLEANER PRODUCTION, 2022, 348
  • [35] Optimizing compressive strength prediction models for rice husk ash concrete with evolutionary machine intelligence techniques
    Amin, Muhammad Nasir
    Ahmad, Waqas
    Khan, Kaffayatullah
    Deifalla, Ahmed Farouk
    CASE STUDIES IN CONSTRUCTION MATERIALS, 2023, 18
  • [36] Compressive strength and chloride penetration tests of modified type IP cement concrete with rice ash
    Javier, Anna Rose A.
    Lopez, Neslyn E.
    Juanzon, Joseph Berlin P.
    3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE CIVIL ENGINEERING STRUCTURES AND CONSTRUCTION MATERIALS - SUSTAINABLE STRUCTURES FOR FUTURE GENERATIONS, 2017, 171 : 543 - 548
  • [37] Properties of multi-strength grade EPS concrete containing silica fume and rice husk ash
    Sadrmomtazi, A.
    Sobhani, J.
    Mirgozar, M. A.
    Najimi, M.
    CONSTRUCTION AND BUILDING MATERIALS, 2012, 35 : 211 - 219
  • [38] Total shrinkage, chloride penetration, and compressive strength of concretes that contain clear-colored rice husk ash
    Gastaldini, A. L. G.
    da Silva, M. P.
    Zamberlan, F. B.
    Mostardeiro Neto, C. Z.
    CONSTRUCTION AND BUILDING MATERIALS, 2014, 54 : 369 - 377
  • [39] A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete
    Bassi, Akshita
    Manchanda, Aditya
    Singh, Rajwinder
    Patel, Mahesh
    NATURAL HAZARDS, 2023, 118 (01) : 209 - 238
  • [40] Effect of substitution of cement with rice husk ash on compressive strength of concrete using plastic fibres and super plasticizer
    R. K. Sharma
    KSCE Journal of Civil Engineering, 2014, 18 : 2138 - 2142