Mathematical prediction of the compressive strength of bacterial concrete using gene expression programming

Algaifi, Hassan Amer; Alqarni, Ali S.; Alyousef, Rayed; Bakar, Suhaimi Abu; Ibrahim, Mohd Halim Irwan; Shahidan, Shahiron; Ibrahim, Mohammed; Salami, Babatunde Abiodun

doi:10.1016/j.asej.2021.04.008

Cited by 35 publications

(10 citation statements)

References 55 publications

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“…Luhar et al [27stated that autonomous crack sealing using microorganisms in the concrete without human intervention is a possible solution to the problem of long-term concrete improvement. Algaifi et al [28] used Gene Expression Programming (GEP) modelling…”

Section: Cementmentioning

confidence: 99%

Studies on Compressive Strength Microstructural Analysis of Self-Compacting Mortar with Bacteria

Sravanthi¹,

Sarella²,

Krishnaveni³

et al. 2022

Komunikácie

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This research proposed bacteria-treated concrete, which is highly desirable because the mineral precipitation induced from microbial activities is pollution free and natural. This study investigates the effects of Bacillus Licheniformis, Bacillus Cohnii and mixed bacteria on compressive strength, ultrasonic pulse velocity test, rapid chloride penetration test, microstructural analysis and bacteria cell concentration of 10 5 cell/ml of normal and selfcompacting mortars made with and without fly ash for 7 and 28 days. With self-compacting mortar, the compressive strength of Bacillus Licheniformis improved by 30.3 % and by adding Bacillus Cohnii in 28 days, the ion penetration value decreased. Finally, it was observed that the deposition of calcium carbonate in mortar improved compressive strength using SEM-EDS and XRD with compound polymorphisms of calcite, vaterite, quartz, and Hautirite.

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Section: Cementmentioning

confidence: 99%

Studies on Compressive Strength Microstructural Analysis of Self-Compacting Mortar with Bacteria

Sravanthi¹,

Sarella²,

Krishnaveni³

et al. 2022

Komunikácie

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“…In the same context, the relationship between the dependent and independent variables was determined using a second-order polynomial equation (quadratic equation). The general form of the quadratic equation is represented in Equation ( 1), where b ii denotes the quadratic coefficients, b o corresponds to the intercept of the model, and b i denotes the linear coefficients [2]. The accuracy and reliability of the developed quadratic equations were verified using several mathematical and statistical tests.…”

Section: Optimization Modellingmentioning

confidence: 99%

“…Cement-based mortar is one of the most commonly used materials for the rehabilitation and repair of reinforced concrete structures [1]. Despite its good compressive strength and low cost, it has several drawbacks, including the presence of micropores, the inevitable formation of microcracks, and low flexural and tensile strength [2]. These undesirable characteristics can shorten the lifespan of mortar and necessitate extensive maintenance, ultimately limiting its use in the construction industry.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Mechanical Properties of High Strength Mortar Incorporating Silica Fume and Graphene Nanoplatelets: Experimental and Mathematical Modeling

et al. 2023

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Cement-based mortar is recognized as a popular and cost-effective material for the rehabilitation and repair of reinforced concrete structures. However, the development of high-performance cement-based mortar is in high demand in order to not only enhance compressive strength but also to prolong the mortar lifespan and minimize maintenance costs as much as possible. In the current study, high-strength mortars incorporating both silica fume and graphene nanoplatelets (GNPs) were investigated and evaluated based on compressive and flexural strength. The graphene powder was added in amounts ranging from 0.5% to 2%, by cement weight, while silica fume was added as a partial replacement for cement (10%). The optimal content of the graphene was determined using response surface methodology (RSM). In addition, field emission scanning electron microscopy (FESEM) was used to assess the proposed mortar at the micro-scale level. The outcome revealed that the graphene-based mortar imparted superior mechanical properties compared to the control mixture. The compressive and flexural strength of the mortars containing 10% silica fume and 1% graphene increased by 33% and 35%, respectively. This positive result was attributed to the refinement of the nanopores and tiny cracks by the inclusion of GNPs, which was supported by microstructure testing. The RSM model was also shown to be capable of optimizing and predicting compressive and flexural strength with less error. It is possible to conclude that graphene-based high-strength mortar will serve as a sustainable material in the near future.

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“…In the direct mixing method of bacteria into concrete, microbial metabolic activity is influenced by high pH and alkali and concrete conditions that tend to be dry, causing bacteria to be prone to die [20]. As a result, encapsulation becomes necessary protection for this technique because it can maintain the life of bacteria inside the concrete matrix in the long term [21].…”

Section: The Influence Of the Type And Application Of Bacteriamentioning

confidence: 99%

Optimization of Self-Healing Concrete Parameters using Experimental Design Taguchi Method

Abdurrahman

Putra

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The development of self-healing concrete (SHC) is intensively implemented to improve stability and reduce maintenance costs. However, the experiments require many parameter variations, increasing the cost. Taguchi methods are used in experimental design to obtain variations of the optimal parameters and reduce the cost of the experiment. The stages of this study are secondary data collection of the increase of compressive strength, testing Taguchi methods, determining contribution parameters using ANOVA, and developing the estimated model. The parameters analyzed consist of the type, the concentration, the application of bacteria, and the curing time conducted as experimental analysis of 2, 3, and 4 parameters. The results of the parameter analysis using the Taguchi have optimal variation results in a row Bacillus subtilis, 105 cells /ml, encapsulation methods, and 28 days. Bacterial concentrations have a very significant value with contributions of 82.94%, 78.90%, and 74.36% in the analysis of 2, 3, and 4 parameters, respectively. The slightest error value was obtained in the analysis of the 3-parameter experiment with a value of 2.99%. SHC modelling obtained two equations consisting of direct mixing and encapsulation, which have a coefficient of determination of 0.89 and 0.82.

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Mathematical prediction of the compressive strength of bacterial concrete using gene expression programming

Cited by 35 publications

References 55 publications

Studies on Compressive Strength Microstructural Analysis of Self-Compacting Mortar with Bacteria

Studies on Compressive Strength Microstructural Analysis of Self-Compacting Mortar with Bacteria

Assessment of the Mechanical Properties of High Strength Mortar Incorporating Silica Fume and Graphene Nanoplatelets: Experimental and Mathematical Modeling

Optimization of Self-Healing Concrete Parameters using Experimental Design Taguchi Method

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