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Alaneme, G. U.
Civil Engineering Department, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
Onyelowe, K. C.
Civil Engineering Department, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
Onyia, M. E.
Department of Civil Engineering, Faculty of Engineering, University of Nigeria, Nsukka, Nigeria.
Bui Van, D.
Faculty of Civil Engineering, Hanoi University of Mining and Geology, Hanoi, Vietnam
Mbadike, E. M.
Civil Engineering Department, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
Dimonyeka, M. U.
Civil Engineering Department, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
Attah, I. C.
Civil Engineering Department, Akwa Ibom State University, Ikot Akpaden, Nigeria
Ogbonna, C.
Civil Engineering Department, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
Iro, U. I.
Civil Engineering Department, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
Kumari, S.
Department of Civil Engineering, Assam Downtown University, India.
Firoozi, A. A.
Department of Civil Engineering, Faculty of Engineering and Technology, University of Botswana, Gaborne, Botswana
Oyagbola, I.
Department of Civil Engineering, Faculty of Mechanical and Civil Engineering, Kampala International University, Kampala, Uganda
ABSTRACT
In this research study, fuzzy logic modelling
technique was adapted for the prediction of the plasticity, consistency and
swelling characteristics of clayey soil-QARHA mixture. The additive QARHA
gotten from agricultural waste helped to improve the swelling properties of the
problematic expansive clayey soil; this helps to encourage the recycling and
re-use of solid wastes and its derivatives for engineering development. The
clayey soil was treated with varying proportions of QARHA from 0 % to 12 % and
the experimental responses obtained in terms of their consistency and swelling
properties; the data obtained from this experimental program was utilized for
the fuzzy logic model development as its system knowledge base. The fuzzy logic
essentially handles the complex issues of vagueness and imprecision of
well-defined parameters for better assessment of the system. Mamdani FIS was
utilized in simulating and development of the model using triangular membership
function in MATLAB tool box. The generated fuzzy logic model’s performance was
assessed using MAPE and RMSE; and further compared with MLR model which
produced a mean coefficient of determination of 97.93 % while 99.8 % was
calculated for fuzzy logic model which indicates a better prediction accuracy
and robust model for the estimation of the stabilized soil swelling
characteristics.
Keywords: Rice Husk Ash; Soil Stabilization; Fuzzy Logic; Quicklime; Swelling Properties
https://doi.org/10.33922/j.ujet_v6i1_1
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Published
Monday, June 01, 2020
Issue
Vol. 6 No. 1, June 2020
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
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