Abstract

Strength failure persists both in structural and mechanical analysis. One of its prominent characteristics is the adequate provision for parameters that minimise or maximise strength objectives while satisfying boundary conditions. The previous optimisation of concrete strength usually neglects mix design mechanisms induced by optimisation. Recent efforts to accurately optimise the concrete compressive strength have factored in some of these mechanisms. However, optimising concrete strength modified with high silica and alumina precursors, and crucial mix design factors are rare. Consequently, this paper optimised the concrete workability and strength, incorporating binding, water/binder ratio, binder/aggregate ratio, and curing mechanisms using the Box–Behnken design approach (BBDA). A waste material, anacardium occidentale (cashew) nutshell ash, was valorised and used at 5, 10, and 15 wt.% of cement. The composites were made, cured and tested at 14–90 d. The results revealed a high precision between the experimental slump and the optimisation slump at 97% R2. In addition, a 5% increase in compressive strength was obtained compared with the target compressive strength. Besides, the correlation between the model equation obtained from this study and predictions of previous studies via BBDA yielded a strong relationship.

Highlights

  • In recent times, the reality of material science as a subject area is still of interest considering the behavioural mechanisms of materials and the suitable modelling of their mathematical relationships [1]

  • The results indicated that ground granulated blast furnace slag (GGBFS) and corn cob ash (CCA)’s oxide compositions enhanced the reactivity, compressive strength, and chemical resistance of geopolymer concrete (GPC) produced

  • An attempt was made to engage the application of a Box–Behnken design (BBD) of Response surface methodology (RSM) to obtain an optimum proportioning of concrete strength using the values obtained from an Fibers 2021, 9, 41 experimental design

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Summary

Introduction

The reality of material science as a subject area is still of interest considering the behavioural mechanisms of materials and the suitable modelling of their mathematical relationships [1]. It is worrisome to observe that this material is usually discarded as waste, causing environmental problems In this present study, an attempt was made to engage the application of a BBD of RSM to obtain an optimum proportioning of concrete strength using the values obtained from an Fibers 2021, 9, 41 experimental design. An attempt was made to engage the application of a BBD of RSM to obtain an optimum proportioning of concrete strength using the values obtained from an Fibers 2021, 9, 41 experimental design Design factors such as binders’ ratio, water/binder ratio, curing ages, and binder/aggregate ratio were selected as independent (continuous) variables. The developed approach to optimising the mixtures of concrete proportions was based on the experimental works (involving the required characteristics of concrete performance) and the statistical analysis of data generated; this would reduce time, cost, and the number of trial mixes

Materials’ Preparation and Characterisations
Sample Preparations and Experimental Tests
Optimisation of Variables
Statistical Analysis and Fitting of the Strength Model
Findings
Influence of D and B on fc
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