Investigating mix proportions of high strength self compacting concrete by using Taguchi method

Özbay, Erdoğan; Öztaş, Ahmet; Baykasoğlu, Adil; Ozbebek, Hakan

doi:10.1016/j.conbuildmat.2008.02.014

Cited by 110 publications

(33 citation statements)

References 10 publications

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“…The cement used in this application is a CEM I 42.5 R. Chemical compositions of the binder materials is given in Table 1 and 2 [9]. Table 3 presents the aggregate sieve analysis.…”

Section: Determination Of Criteria and Constraints Of Mixture Dosagesmentioning

confidence: 99%

“…The air content percentage of standard concrete should be minimized [9]. The unit weight of fresh concrete depends on aggregate granulation, application of squeezing and amount of entrained air.…”

Section: Determination Of Concrete Performance Optimization Objectivesmentioning

confidence: 99%

“…Higher compressive strength means better concrete quality. One other criterion is water absorption of concrete mixtures which also should be minimized [9,43]. The compressive test apparatus is given in Figure 2.…”

Section: Determination Of Concrete Performance Optimization Objectivesmentioning

confidence: 99%

“…For determining the optimal factor levels on concrete quality, experimental design methodologies such as Response Surface Methodology (RSM), Taguchi Methods and factorial design applications are widely used in literature [4][5][6][7][8][9][10][11][12][13][14]. Multi-Attribute Decision Making (MADM) methods are also combined with Taguchi methods where multiple responses are involved [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Hybridizing a fuzzy multi-response Taguchi optimization algorithm with artificial neural networks to solve standard ready-mixed concrete optimization problems

Şimşek¹,

İç²,

Şimşek³

2016

IJCIS

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In this study, a fuzzy multi-response standard ready-mixed concrete (SRMC) optimization problem is addressed. This problem includes two conflicting quality optimization objectives. One of these objectives is to minimize the production cost. The other objective is to assign the optimal parameter set of SRMC's ingredient to each activity. To solve this problem, a hybrid fuzzy multi-response optimization and artificial neural network (ANN) algorithm is developed. The ANN algorithm is integrated into the multi-response SRMC optimization framework to predict and improve the quality of SRMC. The results show that fuzzy multi-response optimization model is more effective than crisp multi-response optimization model according to final production cost. However, the ANN model also gave more accurate results than the fuzzy model considering the regression analysis results.: Standard ready-mixed concrete; Multi-response optimization; Taguchi method; Fuzzy TOPSIS; Artificial neural networks.

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“…The cement used in this application is a CEM I 42.5 R. Chemical compositions of the binder materials is given in Table 1 and 2 [9]. Table 3 presents the aggregate sieve analysis.…”

Section: Determination Of Criteria and Constraints Of Mixture Dosagesmentioning

confidence: 99%

Section: Determination Of Concrete Performance Optimization Objectivesmentioning

confidence: 99%

Section: Determination Of Concrete Performance Optimization Objectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hybridizing a fuzzy multi-response Taguchi optimization algorithm with artificial neural networks to solve standard ready-mixed concrete optimization problems

Şimşek¹,

İç²,

Şimşek³

2016

IJCIS

View full text Add to dashboard Cite

show abstract

“…This research attempts further to invetigae the quality of alkali activated concrete conaining the ground amorphous silicon solar cells. Utilization of Taguchi method is to minimize the experiment number using standard orthogonal array and Signal to Noise ratio (S/N) [5]. Usually it can only consider single quality characteristics, while GRA is usually employed to deal with multi-quality characteristics.…”

Section: Introductionmentioning

confidence: 99%

The Grey Relational Analysis of Quality Investigation of Concrete Containing Solar PV Cells

Hsu

Cheng

Chao

et al. 2015

MATEC Web of Conferences

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Abstract. The construction industry through the use of less polluting green energy technology is already imminent and more had to do, and continue to improve as the development of green energy. Concrete is the most common-used construction material in the modern world. Traditional concrete is a composite, which is made of aggregate, Portland cement and water. Production of Portland cement consumes large amount of energy and releases lots of carbon dioxide, nevertheless, the developing of sustainable society means more urgent and important to search for new cementitious materials to replace Portland cement in future constructions. The research employs Taguchi method and Grey Relational Analysis (GRA) to invetigate the performance of alkali activated silica fume concrete in which amorphous silicon solar cells are ground and added into the mixture in three-phase analysis. Firstly, this study used Taguchi's orthogonal array to evaluate the influence of the control factors and identify the important factors influencing quality characteristics. Secondly, all normalizing experiment variables ranked the grey relational grades of multi-quality characteristics. Finally, this study integrated the Taguchi method and the equal weights by using GRA to establish both equal and entropy weight-based grey relational values.

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An overview on mixture design of self‐compacting concrete

Ashish

Verma

2018

Structural Concrete

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Self-compacting concrete (SCC) was developed in 1988 and introduced by Professor H. Okamura to achieve durability of structures with low skilled laborers. The three properties of SCC that differentiates it from traditional concrete are passing ability, filling ability and segregation resistance. The present study highlights the developments concerning SCC in the period from 1995 to 2017. This information is important for researchers and professionals working in this area. SCC can be optimized to a larger extent to find the best alternative either by use of additives or tailor-made mix design. Based on different principles and parameters, design methods can be categorized into six classes namely empirical design method, statistical factorial design method, strength-based design method, rheology of paste method, particle packing method and Eco-SCC mixture design method. To develop SCC with high quality a suitable method can be chosen depending upon the situation and application.compressive strength, design mixture method, empirical, particle packing method, rheology of paste method, self-compacting concrete 1 | INTRODUCTION SCC flows into every corner of a mold, passes reinforcement and fill gaps without any need of internal or external vibration and compaction simultaneously maintaining stability without segregation and bleeding of concrete. It has the ability to compact itself only by means of its own weight. [1][2][3][4] In the early 1990s, SCC was introduced in concrete technology. 5 The properties of SCC depend on the source and the type of constituent materials and their properties. 6 The use of SCC eliminates the compacting effort and this results in reduced costs of placement, moreover, a decrease in the duration of construction improves productivity. 7 SCC is a concrete type with high workability, a high flowability and superior resistance to segregation. 8 The property of SCC to completely fill a formwork by filling gaps and to flow around reinforcement without the need of vibration or bleeding makes it significant to use. 9 A good balance between deformability and stability resulted in the successful development of SCC. Different mix design procedures were proposed for SCC that include (a) combinations of a higher volume of mineral additives and water-reducing admixture, (b) combination of water-reducing admixture and viscosity modifying agent. 10 The use of SCC reduces the noise during casting and provides better working conditions. 7,11 The applications of SCC in densely reinforced sections, that is, columns and beams in moment-resisting frames in seismic areas is necessary to ensure that all gaps in a formwork are filled. 7 The use of limestone powder as a fine additive can improve the rheological behavior of cement pastes and the combination of both limestone powder and fly ash can result in a higher packing density. 12 Eco-SCC is a SCC with a maximum total binder content of 315 kg/m 3 which can include cement, silica fume, fly ash and/or limestone filler. 13 Air-entrained SCC was designed with the u...

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Investigating mix proportions of high strength self compacting concrete by using Taguchi method

Cited by 110 publications

References 10 publications

Hybridizing a fuzzy multi-response Taguchi optimization algorithm with artificial neural networks to solve standard ready-mixed concrete optimization problems

Hybridizing a fuzzy multi-response Taguchi optimization algorithm with artificial neural networks to solve standard ready-mixed concrete optimization problems

The Grey Relational Analysis of Quality Investigation of Concrete Containing Solar PV Cells

An overview on mixture design of self‐compacting concrete

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