Umudike Journal of Engineering and Technology

Michael Okpara University of Agriculture, Umudike


PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE BLENDED WITH DRILL-CUTTINGS AT DIFFERENT REPLACEMENT LEVELS AND CURING TIME USING REGRESSION MODEL METHOD

Ihedioha, T. O.
Department of Agricultural and Biosystems Engineering, Federal University of Technology Owerri. PMB 1526 Owerri Imo State, Nigeria.

Okoroafor, O. O.
Department of Agricultural and Biosystems Engineering, Federal University of Technology Owerri. PMB 1526 Owerri Imo State, Nigeria.

Chikwue, M. I.
Department of Agricultural and Biosystems Engineering, Federal University of Technology Owerri. PMB 1526 Owerri Imo State, Nigeria.

Uzoh, U. E.
Department of Agricultural and Biosystems Engineering, Federal University of Technology Owerri. PMB 1526 Owerri Imo State, Nigeria.



ABSTRACT

Compressive strength is a crucial factor in the structural design of cost-effective, load-bearing concrete elements such as beams, columns, and slabs. Given the rising costs and scarcity of construction materials, reusing industrial waste—specifically, drill cuttings (DC)—as supplementary cementitious materials present a sustainable solution with both environmental and economic benefits. This study explores the use of thermally treated drill cuttings as a partial replacement for cement in concrete. The goal is to develop predictive models for compressive strength across various replacement levels and curing durations. In this study, drill cuttings were pretreated at 500°C for 3 hours, then ground to pass through a 63 µm sieve. They were used to replace Ordinary Portland Limestone Cement (42.5R, CEM II) by 0%, 5%, 7.5%, 10%, 12.5%, and 15% by weight. Concrete mixes were prepared in a 1:2:4 ratio, maintaining a constant water-binder ratio of 0.60. Cube specimens measuring 150 mm³ were cast and water-cured for 7, 14, 28, 60, and 90 days. The material properties, including particle size distribution, fineness modulus, and grading indices, were characterized. Compressive strength was evaluated according to BS 1881:116, along with assessments of the strength activity index (SAI), water absorption ratio, and workability through slump tests. A linear regression model based on the least squares’ method was developed to predict compressive strength as a function of curing time and the content of drill cuttings. The model demonstrated strong predictive capabilities, with coefficients of determination (R²) ranging from 0.6908 to 0.9849, and Root Mean Square Error (RMSE) values ranging from 0.17 to 21.63. Statistical analyses, including randomized complete block design (RCBD), ANOVA, and least significant difference (LSD) tests, confirmed the significance of the results. The findings have established that treated drill cuttings can serve as a viable partial cement replacement. This approach not only achieves substantial material savings and environmental benefits but also maintains the structural integrity of the concrete. The proposed regression models offer an effective tool for predicting compressive strength across different curing periods and replacement levels, supporting the broader application of waste-derived materials in sustainable construction.


Keywords: Modeling; Compressive Strength; Regression Analysis; Replacement levels; Drill Cuttings


https://doi.org/10.33922/j.ujet_v11i1_17
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Published
Monday, February 03, 2025

Issue
Vol. 11 No. 1, June 2025

Article Section
GENERAL

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