Evaluation of self-healing in concrete using linear and nonlinear resonance spectroscopy

Kim, Ryulri; Woo, Ukyong; Shin, Moochul; Ahn, Eunjong; Choi, Hajin

doi:10.1016/j.conbuildmat.2022.127492

Cited by 9 publications

(7 citation statements)

References 37 publications

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“…Self-healing concrete is a type of concrete that has the ability to repair cracks and damage on its own 1 , (see Fig. 1 ).…”

Section: Introductionmentioning

confidence: 99%

“…Extensive research and testing are necessary to determine the most suitable concentration for a particular application 18 . It’s worth noting that the concentration of bacteria is just one factor in the overall design and performance of self-healing concrete 1 , 19 . Other factors, such as the selection of healing agents, the mix design, and the curing conditions, also play crucial roles in achieving the desired self-healing properties while maintaining the required strength and durability of the concrete structure 20 .…”

Section: Introductionmentioning

confidence: 99%

“…The use of appropriate admixtures, such as superplasticizers, can help improve the flow and workability of self-healing concrete while maintaining the desired bacterial concentration 37 . It’s worth noting that the influence of bacteria concentration on rheology and workability is just one aspect to consider in the design and performance of self-healing concrete 1 . Other factors, such as the selection of bacteria, healing agents, aggregate gradation, and overall mix design, also play important roles 3 .…”

Section: Introductionmentioning

confidence: 99%

“…Self-healing: As the calcium carbonate crystals form and grow, they gradually fill the cracks and restore the integrity of the concrete 7 – 9 , 29 . This process can occur over a period of several weeks, depending on the extent of the damage 1 . It’s important to note that self-healing concrete utilizing bacteria is still an emerging technology and not yet widely implemented in construction projects 14 , 27 .…”

Section: Introductionmentioning

confidence: 99%

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Modeling the influence of bacteria concentration on the mechanical properties of self-healing concrete (SHC) for sustainable bio-concrete structures

Onyelowe,

Adam,

Ulloa

et al. 2024

Sci Rep

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In this research paper, the intelligent learning abilities of the gray wolf optimization (GWO), multi-verse optimization (MVO), moth fly optimization, particle swarm optimization (PSO), and whale optimization algorithm (WOA) metaheuristic techniques and the response surface methodology (RSM) has been studied in the prediction of the mechanical properties of self-healing concrete. Bio-concrete technology stimulated by the concentration of bacteria has been utilized as a sustainable structural concrete for the future of the built environment. This is due to the recovery tendency of the concrete structures after noticeable structural failures. However, it requires a somewhat expensive exercise and technology to create the medium for the growth of the bacteria needed for this self-healing ability. The method of data gathering, analysis and intelligent prediction has been adopted to propose parametric relationships between the bacteria usage and the concrete performance in terms of strength and durability. This makes is cheaper to design self-healing concrete structures based on the optimized mathematical relationships and models proposed from this exercise. The performance of the models was tested by using the coefficient of determination (R2), root mean squared errors, mean absolute errors, mean squared errors, variance accounted for and the coefficient of error. At the end of the prediction protocol and model performance evaluation, it was found that the classified metaheuristic techniques outclassed the RSM due their ability to mimic human and animal genetics of mutation. Furthermore, it can be finally remarked that the GWO outclassed the other methods in predicting the concrete slump (Sl) with R2 of 0.998 and 0.989 for the train and test, respectively, the PSO outclassed the rest in predicting the flexural strength with R2 of 0.989 and 0.937 for train and test, respectively and the MVO outclassed the others in predicting the compressive strength with R2 of 0.998 and 0.958 for train and test, respectively.

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“…Self-healing concrete is a type of concrete that has the ability to repair cracks and damage on its own 1 , (see Fig. 1 ).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling the influence of bacteria concentration on the mechanical properties of self-healing concrete (SHC) for sustainable bio-concrete structures

Onyelowe,

Adam,

Ulloa

et al. 2024

Sci Rep

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“…An improvement in SH abilities and a simultaneous reduction in shrinkage using microcapsules is presented in [ 14 ]. Concrete and mortars with SH properties, with the possibility of the cracks’ closure, are presented in [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. The methodology for evaluating concrete’s self-healing performance is presented in [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Self-Healing Mechanical Properties of Selected Roofing Felts

et al. 2023

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In this work, roof felts are considered. Special attention is paid to the mechanical properties and self-healing (SH) phenomena under elevated temperatures. The results of the heating and strength tests for the entire range of material work, from the first load to sample breaking, are shown with respect to the angle of reinforcement relative to the longitudinal axis of the sample and different ways of breaking the continuity of the material. The influence that the material thickness and modifiers used for the production of the base material have on the obtained results was also pointed out. The meaningful SH strength is reported—from 5% up to 20% of the strength of the undamaged material—which, in perspective, can provide comprehensive knowledge of the optimal use of roofing felts and its proper mathematical modeling.

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Exploratory Application of Bacteria: A Self-Healing Concrete Review

Berina,

Dela Cruz

2023

Lecture Notes in Civil Engineering

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Evaluation of self-healing in concrete using linear and nonlinear resonance spectroscopy

Cited by 9 publications

References 37 publications

Modeling the influence of bacteria concentration on the mechanical properties of self-healing concrete (SHC) for sustainable bio-concrete structures

Modeling the influence of bacteria concentration on the mechanical properties of self-healing concrete (SHC) for sustainable bio-concrete structures

Self-Healing Mechanical Properties of Selected Roofing Felts

Exploratory Application of Bacteria: A Self-Healing Concrete Review

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