Geotechnical and microstructural analysis of high-volume fly ash stabilized clayey soil and machine learning application

被引:0
|
作者
Noaman, Mohammed Faisal [1 ]
Haq, Moinul [2 ]
Khan, Mehboob Anwer [1 ]
Ali, Kausar [1 ]
Kamyab, Hesam [3 ,4 ]
机构
[1] Aligarh Muslim Univ, Zakir Husain Coll Engn & Technol, Dept Civil Engn, Aligarh 202002, India
[2] King Fahd Univ Petr & Minerals, Res Inst, Interdisciplinary Res Ctr Construct & Bldg Mat, Dhahran 31261, Saudi Arabia
[3] Saveetha Inst Med & Tech Sci, Saveetha Dent Coll & Hosp, Dept Biomat, Chennai 600077, India
[4] UTE Univ, Fac Architecture & Urbanism, Calle Rumipamba S-N & Bourgeois, Quito, Ecuador
关键词
Clay stabilization; Waste reduction; Machine learning (ML) modeling; K -nearest neighbors (KNN); Design-mix optimization; Support vector regression (SVR); EXPANSIVE SOIL; ACTIVATOR; BEHAVIOR;
D O I
10.1016/j.cscm.2024.e03628
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The weak soil stabilization using solid wastes is one of the most common solutions for improving geotechnical characteristics as well as for problematic waste dumping in landfills. The present experimental study aims to examine the effect of high-volume Class-F fly ash on the geotechnical and microstructural properties of clayey soil by adding them in ranges between 5 % and 50 %. The results show that as the amount of fly ash in clayey soil increases, properties like the specific gravity, plasticity index, permeability, optimum moisture content, maximum dry density and free swelling index improves. Moreover, these geotechnical properties were analyzed to develop machine learning models using three different algorithms, namely K-nearest neighbor regression, random forest, and support vector regression, for obtaining the optimum amount of fly ash contents in weak expansive soils. The predicted and experimental results found to be in close-relation for predicting the geotechnical behavior of modified clayey soil. Furthermore, the performance of the ML models degrades as the number of components reduces, with KNN regression consistently outperforming SVR and RF but suffering significantly with fewer components. The results of the testing set in the case of four components are MSE of 77, R-2 of 0.896, RMSE of 0.846, MAE of 0.327, and SEE of 0.858, indicating precise and consistent predictions. However, the prediction accuracy considering lesser components shows MSE as 262, R-2 as 0.648, MAE as 5.606, SEE as 16.707, and GPI as 1.056, confirming the elevated error rates. Overall, it has been concluded that combining comprehensive experimental work and machine learning techniques outperforms in enhancing geotechnical data processing, optimized waste contents in weak soils, improves sustainability in construction, saves resources, reduces the possibility of human mistakes, and increases reliability.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] High-Volume Fly Ash Concrete: Analysis and Application
    Reiner, Mark
    Rens, Kevin
    PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2006, 11 (01) : 58 - 64
  • [2] MICROSTRUCTURAL DEVELOPMENT IN HIGH-VOLUME FLY-ASH CEMENT SYSTEM
    XU, AM
    SARKAR, SL
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 1994, 6 (01) : 117 - 136
  • [3] MSW fly ash stabilized with coal ash for geotechnical application
    Kamon, M
    Katsumi, T
    Sano, Y
    JOURNAL OF HAZARDOUS MATERIALS, 2000, 76 (2-3) : 265 - 283
  • [4] Using high-volume fly ash concrete
    Szecsy, Richard
    Concrete Construction - World of Concrete, 2006, 51 (01): : 73 - 82
  • [5] MICROSTRUCTURE OF HIGH-VOLUME FLY ASH CONCRETE
    Baert, G.
    Van den Heede, P.
    Audenaert, K.
    De Belie, N.
    MICROSTRUCTURE RELATED DURABILITY OF CEMENTITIOUS COMPOSITES, VOLS 1 AND 2, 2008, 61 : 207 - 215
  • [6] Influence of fly ash on hydration compounds of high-volume fly ash concrete
    Rao, M. Kanta
    Kumar, Ch N. Satish
    AIMS MATERIALS SCIENCE, 2021, 8 (02) : 301 - 320
  • [7] Geotechnical properties of lateritic soil stabilized with lignocellulosic biomass fly ash
    Amanamba, Ezenwa C.
    Orji, Prince
    Ekeleme, Anthony
    Chioke, Chukwuneduzor
    Nwasuka, Nnamdi
    EPITOANYAG-JOURNAL OF SILICATE BASED AND COMPOSITE MATERIALS, 2022, 74 (02): : 52 - 56
  • [8] Volume change behavior of clayey soil-fly ash mixtures
    Mir, B. A.
    Sridharan, A.
    INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, 2014, 8 (01) : 72 - 83
  • [9] An experimental investigation on mechanical, durability and Microstructural Properties of high-volume fly ash based concrete
    Swathi V.
    Asadi S.
    Journal of Building Pathology and Rehabilitation, 2022, 7 (1)
  • [10] Engineered cementitious composites with high-volume fly ash
    Wang, Shuxin
    Li, Victor C.
    ACI MATERIALS JOURNAL, 2007, 104 (03) : 233 - 241