Concrete compressive strength prediction using non-destructive tests through response surface methodology

Poorarbabi, Ali; Ghasemi, Mohammadreza; Moghaddam, Mehdi Azhdary

doi:10.1016/j.asej.2020.02.009

Cited by 58 publications

(21 citation statements)

References 21 publications

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“…To build up a precise prediction model, a large number of experimental data on normal-weight concrete compressive strength, UPV test results, and rebound number from rebound hammer tests is required. We 6 have collected 516 data points of the compressive strength of concrete, which were tested at 3, 7, 14, 28, 56, and 90 days [9,10,13,15,17,[38][39][40].…”

Section: Datamentioning

confidence: 99%

“…NDTs are widely used to evaluate the fundamental characteristics of concrete in structures, such as compressive strength. NDTs do not cause any damage to the structure and do not affect the structural performance [10]. Many different types of NDTs have been developed in order to measure the compressive strength of concrete, among them the ultrasonic pulse velocity (UPV) and rebound hammer (RH) tests.…”

Section: Introductionmentioning

confidence: 99%

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High correlated variables creator machine: Prediction of the compressive strength of concrete

Shishegaran

Varaee

Rabczuk

et al. 2021

Computers & Structures

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Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High correlated variables creator machine: Prediction of the compressive strength of concrete

Shishegaran

Varaee

Rabczuk

et al. 2021

Computers & Structures

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“…In this regard, simple linear regression with scatter plot is commonly adopted [ 9 ]. However, more advanced DoE, such as Response Surface [ 10 ], and even machine learning [ 11 ], have been successful in producing a more accurate prediction. For studies related to replacement of concrete materials [ 12 , 13 ], DoE approaches are highly favourable with a significant number of recent studies adopting more advanced methodology to analyse experimental data [ 14 , 15 , 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review

et al. 2021

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Concrete mix design and the determination of concrete performance are not merely engineering studies, but also mathematical and statistical endeavors. The study of concrete mechanical properties involves a myriad of factors, including, but not limited to, the amount of each constituent material and its proportion, the type and dosage of chemical additives, and the inclusion of different waste materials. The number of factors and combinations make it difficult, or outright impossible, to formulate an expression of concrete performance through sheer experimentation. Hence, design of experiment has become a part of studies, involving concrete with material addition or replacement. This paper reviewed common design of experimental methods, implemented by past studies, which looked into the analysis of concrete performance. Several analysis methods were employed to optimize data collection and data analysis, such as analysis of variance (ANOVA), regression, Taguchi method, Response Surface Methodology, and Artificial Neural Network. It can be concluded that the use of statistical analysis is helpful for concrete material research, and all the reviewed designs of experimental methods are helpful in simplifying the work and saving time, while providing accurate prediction of concrete mechanical performance.

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“…Ali-Benyahia et al [21] performed a study that examines models between DT and NDT in combination or individual (Rebound hammer and ultrasonic pulse velocity). The results of the studies showed that combining destructive and non-destructive tests to estimate the concrete strength are highly recommended and give more accurate results leading to an increase in the quality of tests [22].…”

Section: Introductionmentioning

confidence: 99%

https://www.acapublishing.com/dosyalar/baski/CEBACOM_2021_196.pdf

TEKİN¹

2021

CEBACOM

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The compressive strength of concrete could be evaluated during and after construction because of a weakness in a reinforced concrete structural member appeared. Quality control of concrete in existing and new constructions can be evaluated by several methods. If the compressive strength did not comply with the design requirements, core samples from the low strength structural members are usually taken to evaluate the structural capability. In the construction sites, compressive strengths of columns and shear walls are the most important. Also, the preparing of quite simple reports for the quality control analyses of a construction is common especially in slab and beam analyses. Hence, in this paper, a new sightseeing assessment is recommended to this analysis. In this study, in-situ non-destructive and destructive investigations in newly constructed building slabs and beams were performed because of the weakness of concrete. With this scope, non-destructive and core sampling examinations were performed on slabs and beams according to the TS EN 13791. Building was constructed by using ready-mixed concrete with CEM I 42.5R and CEM II/B-S 42.5N type cement. As a result of this study, it is thought that the TS EN 13791 contains limited information for the evaluation of newly constructed building for concrete because of its varied ingredients. Compressive strength of concrete produced with granulated blast furnace slag like pozzolanic materials instead of cement needs more time to reach required strength if it is not designed for early strength.

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Concrete compressive strength prediction using non-destructive tests through response surface methodology

Cited by 58 publications

References 21 publications

High correlated variables creator machine: Prediction of the compressive strength of concrete

High correlated variables creator machine: Prediction of the compressive strength of concrete

Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review

https://www.acapublishing.com/dosyalar/baski/CEBACOM_2021_196.pdf

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