Design of Normal Concrete Mix Based on Both Building Research Establishment and American Concrete Institute Method of Mix Design

To achieve a defined workability, strength and durability in construction works, concrete mixes are designed and this is done towards the selection and proportioning of constituents to produce a concrete with pre-defined characteristics both in fresh and hardened states. This study assesses the design of normal concrete mix based on the American Concrete Institute and Department Of Environment methods of mix. A characteristic strength of 20 N/mm2 was designed for using the two mix design methods. The concrete components used were tested for specific gravity; moisture content, particle size distribution, aggregate impact value, aggregate crushing value, slump test and compacting factor test and were found suitable. Two sets of concrete cubes (150 x 150 x 150 mm) each were cast using two mix designs. Compressive strengths were evaluated at 7, 14, 21, and 28 days of curing. The 28th day strengths of the two sets of concrete were found to be 30.5 N/mm2 and 29.5 N/mm2 for both DOE and ACI mix design methods which did not exceed the calculated targeted strength.

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TINJAUAN KUAT TEKAN BETON DENGAN MENGGUNAKAN SERAT BENDRAT SEBAGAI BAHAN TAMBAH

Jurnal Informatika Teknologi dan Sains ◽

10.51401/jinteks.v1i2.418 ◽

2019 ◽

Vol 1 (2) ◽

pp. 124-132

Author(s):

Hermansyah ◽

Moh Ihsan Sibgotuloh

Keyword(s):

Compressive Strength ◽

Fresh Concrete ◽

Mix Design ◽

Test Results ◽

Concrete Compressive Strength ◽

Normal Concrete ◽

Fiber Concrete ◽

Concrete Mix ◽

Materials Used ◽

Average Compressive Strength

The more widespread use of concrete construction and the increasing scale of construction, the higher the demand for materials used in concrete mixes. One of the innovations of concrete is fiber concrete. Hope the addition of fiber in concrete mixes such as wire fiber to increase the compressive strength value of normal concrete that is often used, so the purpose of this study is to determine the effect of adding wire fiber to the ease of working (workability) of the concrete mixture and to determine the effect of adding wire fiber to concrete compressive strength. In this study, the fiber used is the type of wire fiber with a diameter of 1 mm and a length of 60 mm. Fiber variations used are 0%, 0.4%, 0.6% and 0.8% based on the weight of fresh concrete. Concrete mix (mix design) using SNI 03-2834-2000 about concrete mix planning with a test life of 28 days. The test results showed that the lowest average compressive strength of 12,291 MPa occurred at 0% variation and the highest average compressive strength value of 20,656 MPa at 0.8% fiber variation. The increase is caused by the even distribution of fibers in the concrete produced, the higher the variation that is given by the fiber, the better the fiber spread, from these fibers provide a fairly good contribution to the fiber concrete

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Design of Normal Concrete Mixtures Using Workability-Dispersion-Cohesion Method

Advances in Civil Engineering ◽

10.1155/2016/1035946 ◽

2016 ◽

Vol 2016 ◽

pp. 1-11

Author(s):

Hisham Qasrawi

Keyword(s):

Mix Design ◽

Normal Concrete ◽

Concrete Mixtures ◽

Aggregate Properties ◽

Linear Relationships ◽

Concrete Mix ◽

The Common

The workability-dispersion-cohesion method is a new proposed method for the design of normal concrete mixes. The method uses special coefficients called workability-dispersion and workability-cohesion factors. These coefficients relate workability to mobility and stability of the concrete mix. The coefficients are obtained from special charts depending on mix requirements and aggregate properties. The method is practical because it covers various types of aggregates that may not be within standard specifications, different water to cement ratios, and various degrees of workability. Simple linear relationships were developed for variables encountered in the mix design and were presented in graphical forms. The method can be used in countries where the grading or fineness of the available materials is different from the common international specifications (such as ASTM or BS). Results were compared to the ACI and British methods of mix design. The method can be extended to cover all types of concrete.

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T Ikatan Baja Tulangan Pada Beton Pond Ash Sebagai Pengganti Sebagian Pasir

Jurnal Poli-Teknologi ◽

10.32722/pt.v19i1.2730 ◽

2020 ◽

Vol 19 (1) ◽

pp. 71-78

Author(s):

Tumingan Tumingan ◽

Salma Alwi

Keyword(s):

Bond Strength ◽

Main Tool ◽

Mix Design ◽

Bonding Mechanism ◽

Normal Concrete ◽

Pond Ash ◽

Cement Ratio ◽

Concrete Mix Design ◽

Test Parameters ◽

Concrete Mix

Pond ash concrete bond is expected to increase bond strength, because in previous studies pond ash concrete resulted in increased mechanical properties of concrete. Bond strength is the bonding mechanism between steel reinforcement and concrete in reinforced concrete construction as the main tool to transfer internal strength between reinforcement and concrete. In this study, a total of thirty-six cylinder concrete with a diameter of 15 cm and a height of 30 cm. Variations of the test parameters are three reinforcement diameters of 12 mm, 16 mm and 25 mm and two types of reinforcement namely plain reinforcement and deform reinforcement for normal concrete and pond ash concrete, using a 25 MPa normal concrete mix design and water cement ratio of 0.52. The results showed that the increase in bond strength on the plain reinforcement from 84.49 kg/cm2 to 91.33 kg/cm2 an increase of 8.09%, while for deform reinforcement there was in increase from 119.70 kg/cm2 in concrete normal to 131.32 kg/cm2 an increase of 9.71% in pond ash concrete. Split collapse occurs in deform reinforcement, whereas in plain reinforcement, slip collapse occurs.

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Decision Support Model for Design of High-Performance Concrete Mixtures Using Two-Phase AHP-TOPSIS Approach

Advances in Civil Engineering ◽

10.1155/2019/1696131 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Mohd. Ahmed ◽

M. N. Qureshi ◽

Javed Mallick ◽

Mohd. Abul Hasan ◽

Mahmoud Hussain

Keyword(s):

High Performance ◽

High Performance Concrete ◽

Design Method ◽

Design Methods ◽

Mix Design ◽

Design Parameters ◽

Two Phase ◽

Concrete Mix Design ◽

Concrete Mix ◽

Topsis Approach

Concrete mix design is the science to obtain concrete proportions of cement, water, and aggregate, based on the particular concrete design method and their mix design parameters. However, the suitability of concrete proportion for high-performance concrete depends on resulting mix factors, namely, water, cement, fine aggregate, and coarse aggregate ratios. This paper implements the multicriteria decision-making techniques (MCDM) for ranking concrete mix factors and representative mix design methods. The study presents a framework to identify critical mix factors found from the concrete mix design methods for high-performance concrete using the two-phase AHP and TOPSIS approach. Three methods of concrete mix design, namely, American Concrete Institute (ACI) mix design method, Department of Energy (DOE) method, and Fineness Modulus (FM) method, are considered for ranking mix design methods and the resulting mix factors. Three hierarchy levels, having three criteria and seven subcriteria, and three alternatives are considered. The present research is attempted to provide MCDM framework to rank the concrete mix guidelines for any given environment such as concrete under sulphate and chloride attack and for evolving the performance-based concrete mix design techniques. Sensitivity and validation analysis is also provided to demonstrate the effectiveness of the proposed approach.

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Normal Concrete Mix Design based on the Isoresponse of Slump as a Function of Specific Surface Area of Aggregate and Cement Paste-Aggregate Ratio

International Journal of Technology ◽

10.14716/ijtech.v12i3.3355 ◽

2021 ◽

Vol 12 (3) ◽

pp. 495

Author(s):

Nabil Dhiya Ulhaq ◽

Relly Andayani

Keyword(s):

Specific Surface ◽

Surface Area ◽

Specific Surface Area ◽

Cement Paste ◽

Mix Design ◽

Normal Concrete ◽

Concrete Mix Design ◽

Concrete Mix

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SIFAT DAN KARAKTERISTIK CAMPURAN BETON MENGGUNAKAN BATU PECAH DAN BATU GULI DARI SUNGAI BINJAI

Jurnal Visi Eksakta ◽

10.51622/eksakta.v2i2.397 ◽

2021 ◽

Vol 2 (2) ◽

pp. 239-254

Author(s):

Johan Oberlyn Simanjuntak ◽

Ros Anita Sidabutar ◽

Humisar Pasaribu ◽

Yetty Riris R Saragi ◽

Sriyanti Sitorus

Keyword(s):

Coarse Aggregate ◽

Construction Material ◽

Mix Design ◽

Crushed Stone ◽

Fine Aggregate ◽

Normal Concrete ◽

Concrete Mix Design ◽

Concrete Mix ◽

Optimum Type ◽

Compressive Strength Of Concrete

Concrete is a construction material consisting of a mixture of cement, aggregate, water and with or without admixture if needed. Coarse aggregate and fine aggregate serve as the main filler of concrete as well as reinforcement, while the cement and water mixtured serves as a binder between materials. To find out and study the behavior of each of these concrete constituents, it is necessary to know the characteristics of the materials made as constituents of the concrete. This study was conducted with the aim of comparing the most optimum type of coarse aggregate used and the comparison of the use of cement for coarse aggregate of crushed stone and coarse aggregate of gully originating from North Sumatera area, namely from the Wampu River in Binjai City as a concrete mixture to see its effect on compressive strength of concrete at the same concrete characteristics namely f’c 25 MPa. The results of the normal concrete mix design are obtained by using coarse aggregate of crushed stone and coarse aggregate of boulder in different amounts of cement. The coarse aggregate of crushed stone requires more cement with the amount of cement 411.1 kg/m3 than the coarse aggregate of gum with the amount of cement 388.9 kg/cm3.

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A Comparative Study of Popular Concrete Mix Design Methods from Qualitative and Cost-Effective Point of View for Extreme Environment

Arabian Journal for Science and Engineering ◽

10.1007/s13369-015-1946-9 ◽

2015 ◽

Vol 41 (4) ◽

pp. 1403-1412 ◽

Cited By ~ 6

Author(s):

Mohd. Ahmed ◽

Saiful Islam ◽

Sohaib Nazar ◽

Roohul A. Khan

Keyword(s):

Comparative Study ◽

Cost Effective ◽

Extreme Environment ◽

Design Methods ◽

Point Of View ◽

Mix Design ◽

Concrete Mix Design ◽

Concrete Mix

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Model-Based Adaptive Machine Learning Approach in Concrete Mix Design

Materials ◽

10.3390/ma14071661 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1661

Author(s):

Patryk Ziolkowski ◽

Maciej Niedostatkiewicz ◽

Shao-Bo Kang

Keyword(s):

Machine Learning ◽

Compressive Strength ◽

Concrete Strength ◽

Design Methods ◽

Mix Design ◽

Engineering Practice ◽

Concrete Compressive Strength ◽

Concrete Technology ◽

Concrete Mix Design ◽

Concrete Mix

Concrete mix design is one of the most critical issues in concrete technology. This process aims to create a concrete mix which helps deliver concrete with desired features and quality. Contemporary requirements for concrete concern not only its structural properties, but also increasingly its production process and environmental friendliness, forcing concrete producers to use both chemically and technologically complex concrete mixtures. The concrete mix design methods currently used in engineering practice are joint analytical and laboratory procedures derived from the Three Equation Method and do not perform well enough for the needs of modern concrete technology. This often causes difficulties in predicting the final properties of the designed mix and leads to precautionary oversizing of concrete properties for fear of not providing the required parameters. A new approach that would make it possible to predict the newly designed concrete mix properties is highly desirable. The answer to this challenge can be methods based on machine learning, which have been intensively developed in recent years, especially in predicting concrete compressive strength. Machine learning-based methods have been more or less successful in predicting concrete compressive strength, but they do not reflect well the variability that characterises the currently used concrete mixes. A new adaptive solution that allows estimating concrete compressive strength on the basis of the concrete mix main ingredient composition by including two observations for a given batch of concrete is proposed herein. In presented study, a machine learning model was built with a deep neural network architecture, trained on an extensive database of concrete recipes, and translated into a mathematical formula. Testing on four concrete mix recipes was performed, which were calculated according to contemporary design methods (Bolomey and Fuller method), and a comparative analysis was conducted. It was found out that the new algorithm performs significantly better than that without adaptive features trained on the same dataset. The presented algorithm can be used as a concrete strength checking tool for the concrete mix design process.

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