Bulletin of the Chinese Ceramic Society, Volume. 43, Issue 5, 1878(2024)

Mix Proportion Optimization and Performance Study of Manufactured Sand Road Concrete Based on Response Surface Methodology

WANG Huibin1... CUI Tong1, CHEN Jie1, WANG Wei2, TAN Kanghao2, YANG Donglai1 and ZHANG Tongsheng2,* |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    To realize the mix proportion design of multi-objective performance of manufactured sand concrete,the Box-Behnken response surface methodology was used to design the experiment,and the effects of stone powder content,slurry volume fraction and water-binder ratio on slump,28 d compressive strength and wear loss of manufactured sand road concrete were studied. Micro-structure analysis of the hardened paste was conducted using scanning electron microscopy (SEM) and X-ray diffraction (XRD). The results demonstrate that the regression models established using the response surface methodology accurately predict the relationships between various factors and performance parameters,with an accuracy exceeding 95%. Among the factors considered,the water-binder ratio has the most significant impact on the slump and compressive strength,while its influence on the wear loss is relatively minor. Through optimization,the best mix proportion for manufactured sand road concrete is found to be a water-binder ratio of 0.36,a slurry volume fraction of 25% and stone powder content of 10% (by weight). Furthermore,the stone powder content of less than 10% can improve the interface transition zone,contributing to the enhancement of the concrete mechanical properties.

    Tools

    Get Citation

    Copy Citation Text

    WANG Huibin, CUI Tong, CHEN Jie, WANG Wei, TAN Kanghao, YANG Donglai, ZHANG Tongsheng. Mix Proportion Optimization and Performance Study of Manufactured Sand Road Concrete Based on Response Surface Methodology[J]. Bulletin of the Chinese Ceramic Society, 2024, 43(5): 1878

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 31, 2023

    Accepted: --

    Published Online: Aug. 15, 2024

    The Author Email: Tongsheng ZHANG (mstszhang@scut.edu.cn)

    DOI:

    CSTR:32186.14.

    Topics