Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Behnood, Ali; Behnood, Venous; Gharehveran, Mahsa Modiri; Alyamaç, Kürşat Esat

doi:10.1016/j.conbuildmat.2017.03.061

Cited by 250 publications

(92 citation statements)

References 44 publications

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“…Since the effect of SP, binder content and its characteristics, the w/c and aggregate content and the parameters described in [15,16] on concrete have already been studied, this study focuses on the effects of the quality and geological nature of NA on the compressive strength of concrete when all the mentioned parameters are constant, mainly by considering two modified models shown in the next sub-section. Thus, in terms of the aggregates, it is advisable to focus on the two mentioned parameters rather than only on the source of the aggregates, e.g., NA versus RA.…”

Section: General Facts On Compressive Strength Estimationmentioning

confidence: 99%

“…However, de Larrard did not consider the properties of cement, and the number of concrete samples used to calculate the factors was not significant. A recent study [15] proposed an innovative way to calculate the strength of concrete mixes using the M5P model tree algorithm by taking into account the results of nine publications. However, the cement class (e.g., CEM I 35.5 or 42.5) and quality of the aggregates were not considered as main factors in the model.…”

Section: Background Of the Compressive Strength Estimation Modelsmentioning

confidence: 99%

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Can We Truly Predict the Compressive Strength of Concrete without Knowing the Properties of Aggregates?

Brito

Silva

2018

Applied Sciences

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This paper is focused on the influence of the geological nature and quality of the aggregates on the compressive strength of concrete and explains why it is important not to ignore the characteristics of aggregates in the estimation of the strength of concrete, even for virgin aggregates. For this purpose, three original (Abrams, American Concrete Institute Manual of concrete practice and Slater) and two modified (Bolomey and Feret) models were used to calculate the strength of concrete by considering results of various publications. The results show that the models do not properly predict the strength of concrete when the characteristics of aggregates are neglected. The scatter between the calculated and experimental compressive strength of concrete, even when made with natural aggregates (NAs) only, was significant. For the same mix composition (with similar cement paste quality), there was a significant difference between the results when NAs of various geological nature (e.g., limestone, basalt, granite, sandstone) were used in concrete. The same was true when different qualities (namely in terms of density, water absorption and Los Angles abrasion) of aggregates were used. The scatters significantly decreased when the mixes were classified based on the geological nature of the aggregates. The same occurred when the mixes were classified based on their quality. For both modified models, the calculated strength of mixes made with basalt was higher than that of the mixes containing other types of the aggregates, followed by mixes containing limestone, quartz and granite. In terms of the quality of the aggregates, the calculated strength of concrete increased (was overestimated) as the quality of the aggregates decreased. The influence of the aggregates on the compressive strength of concrete became much more discernible when recycled aggregates were used mainly due to their more heterogeneous characteristics.

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Section: General Facts On Compressive Strength Estimationmentioning

confidence: 99%

Section: Background Of the Compressive Strength Estimation Modelsmentioning

confidence: 99%

Can We Truly Predict the Compressive Strength of Concrete without Knowing the Properties of Aggregates?

Brito

Silva

2018

Applied Sciences

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“…In this study, the calculation equations of strength and slump were obtained based on the regression of experimental results in [16]. For different design specifications, the calculation equations of strength and slump may be different from those used in this study [23][24][25]. In addition, the unit CO 2 emission, unit price, constraints of component range, and component ratio used in this study cannot cover all cases presented in different countries and regions [26].…”

Section: Generalization Of the Proposed Methodmentioning

confidence: 97%

Optimization of the Mixture Design of Low‐CO₂ High‐Strength Concrete Containing Silica Fume

Kwon

Wang

2019

Advances in Civil Engineering

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As abundant CO2 is released by high-strength concrete due to its high binder content, the reduction of CO2 emissions has become increasingly important. This study proposed a general procedure to optimize the mixture design of low-CO2 high-strength concrete containing silica fume. First, the equations for evaluating strength and slump were regressed based on available experimental results. CO2 emissions were calculated based on the concrete mixtures and the unit CO2 emissions of the concrete components. By using the genetic algorithm, the concrete mixtures with the lowest CO2 emissions were determined by considering various constraints. Second, the cost of concrete was calculated based on the concrete mixtures and the unit cost of the concrete components. Similarly, the concrete mixtures with the lowest cost were determined based on the genetic algorithm. We found that, in some cases, the mixtures with the lowest CO2 emissions were different from those with the lowest cost. Third, through adding the constraint equation of cost, Pareto optimal mixtures with relatively lower CO2 emissions and lower cost were determined. In summary, the proposed technique is valuable for designing high-strength concrete considering both CO2 emissions and cost.

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“…Beberapa penelitian terdahulu mengenai beton mutu tinggi sudah dilakukan di antaranya pemanfaatan fly ash sebagai bahan tambah [2], Abu Sekam Padi [3], penambahan serat [4], menggunakan metakaolin dan hybrid fiber [5], menggunakan agregat recycle [6], menggunakan sistem geopolimer [7]. Selain itu terdapat pula beberapa penelitian yang menggunakan metode yang berbeda seperti menggunakan prediksi analisis regresi [8], model algoritma [9] dan metode maturity [10]. Diharapakn penelitian menggunakan abu limbah las karbit ini dapat menjadi material baru yang ramah lingkungan dalam pembuatan beton mutu tinggi.…”

Section: Pendahuluanunclassified

Analisis Kuat Tekan Beton Mutu Tinggi Dengan Bahan Tambah Superplastisizer dan Limbah Las Karbit

Prayuda

Pujianto

2018

RekayasaSipil

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This research will discuss about the compressive strength of concrete by using superplastisizer as an addictive substance and waste of carbide weld as the admixture material of cement replacement. Through this research is expected to know the right composition to produce a concrete formula with high quality by utilizing the existing local waste dan superplastisizer (Viscocrete-10). In this study made a sample of concrete cylinders measuring 15 cm diameter with a height of 30 cm totaling 63 specimens with 7 variations with each variation made as many as 9 specimens. The compressive strength test was performed at age 7, 14 and 28 days. Through this research, the result of flowability, compressive strength and elastic modulus of each test object variation.

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Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Cited by 250 publications

References 44 publications

Can We Truly Predict the Compressive Strength of Concrete without Knowing the Properties of Aggregates?

Can We Truly Predict the Compressive Strength of Concrete without Knowing the Properties of Aggregates?

Optimization of the Mixture Design of Low‐CO₂ High‐Strength Concrete Containing Silica Fume

Analisis Kuat Tekan Beton Mutu Tinggi Dengan Bahan Tambah Superplastisizer dan Limbah Las Karbit

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Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Cited by 250 publications

References 44 publications

Can We Truly Predict the Compressive Strength of Concrete without Knowing the Properties of Aggregates?

Can We Truly Predict the Compressive Strength of Concrete without Knowing the Properties of Aggregates?

Optimization of the Mixture Design of Low‐CO2 High‐Strength Concrete Containing Silica Fume

Analisis Kuat Tekan Beton Mutu Tinggi Dengan Bahan Tambah Superplastisizer dan Limbah Las Karbit

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Product

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About

Optimization of the Mixture Design of Low‐CO₂ High‐Strength Concrete Containing Silica Fume