Core strength of concrete using newly developed in situ compressive testing machine

Reddy, B. Sudheer; Wanjari, Swapnil P.

doi:10.1680/jmacr.17.00315

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…The outcomes of this research could be helpful when steel reinforced lightweight concrete is used in real structural applications and drilled cores are needed for quality control reasons. All the available researches were performed on normal concrete cores [22][23][24] and there is no single study dealt with drilled cores of light weight concrete. For this reason, the current study aimed to experimentally examine the effect of steel bars presence on the test results of light weight concrete cores made of locally crashed clay bricks.…”

Section: Introduction Amentioning

confidence: 99%

Evaluation of lightweight Concrete Core Test Including Steel Bars

Goaiz

Jabir

Abdulrehman

et al. 2023

IJE

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In many steel reinforced concrete members, steel bars are not avoidable during concrete core drilling and the presence of these steel bars have a direct impact on the results of this test. This study aims to examine the effect of steel bars presence on the test results of recycled aggregate lightweight concrete (LWC) cores. For the purpose, one lightweight concrete mix was made with a total number of 48 concrete cores were taken from a slab having the dimensions of 1 m width, 1.5 m length and 0.15m thickness. Each core has the dimensions of 90 mm in diameter and 150 mm in height. Three different sizes of steel bars (12, 16 and 20 mm) were used in six different locations (25, 45 and 65 mm) from the base of the core and (15 and 30 mm) from the center line of the core. A recycled crashed clay brick (CCB) was used as an alternative to the coarse aggregate. Compare to the density of the normal concrete (2400 kg/m 3 ), the LWC was able to achieve nearly 20% reduction of the total weight by fully replacing of normal aggregate with CCB. It has been found that the presence of the steel increases the compressive strength of the LWC cores. This effect is more noticeable when the location of the steel bar is near to the midheight or the centerline of the concrete core. Also, the influence of the steel bar diameter has increased by increasing the size of the steel bar.

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Section: Introduction Amentioning

confidence: 99%

Evaluation of lightweight Concrete Core Test Including Steel Bars

Goaiz

Jabir

Abdulrehman

et al. 2023

IJE

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Utilizing pond ash as fine aggregates in sustainable green concrete pavement – A case study

Titiksh

Wanjari

2023

Materials Today: Proceedings

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Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges

Abdelkader

Moselhi

Marzouk

et al. 2021

J. Perform. Constr. Facil.

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Existing bridges are aging and deteriorating rapidly; elevating concerns for public safety and preservation of these valuable assets. Large numbers of bridges exist in transportation networks and the current budget limitations worsen the situation. This necessitates the development of automated condition assessment and rating methods. Spalling is a common problem that majorly influences the health, safety and structural integrity of bridges. The present study introduces a self-adaptive three-tier method for the automated detection and assessment of spalling using computer vision technologies. The first model introduces a newly-developed segmentation model that adopts multi-objective invasive weed optimization and information theory-based formalism of images for spalled concrete detection. In the second model, an integration of singular value decomposition and discrete wavelet transform are integrated for the efficient feature extraction of information in images. Additionally, Elman neural network is coupled with invasive weed optimization algorithm to enhance the accuracy of evaluation of spalling severities by amplifying exploration-exploitation trade-off mechanism of Elman neural network. The third model is developed for the purpose of structuring a rating system of spalling severity based on its area and depth. A computerized platform is developed using C#.net language to facilitate the implementation of the developed method by the users. Results demonstrated that the developed multi-objective spalling segmentation model is capable of improving detection accuracy of spalling by 12.29% with respect to the Region growing algorithm. It was inferred also the developed quantification model outperformed other prediction models such that it achieved mean absolute percentage error, root mean-squared error and root mean squared percentage error of 4.07%, 76.061 and 0.065, respectively based on the original dataset. In this regard, it is expected that the developed computer vision-based method can aid in establishing cost-effective bridge condition assessment models by transportation agencies.

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Core strength of concrete using newly developed in situ compressive testing machine

Cited by 6 publications

References 9 publications

Evaluation of lightweight Concrete Core Test Including Steel Bars

Evaluation of lightweight Concrete Core Test Including Steel Bars

Utilizing pond ash as fine aggregates in sustainable green concrete pavement – A case study

Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges

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