Effects of deicers on the performance of concrete pavements containing air-cooled blast furnace slag and supplementary cementitious materials

Verian, Kho Pin; Behnood, Ali

doi:10.1016/j.cemconcomp.2018.03.009

Cited by 52 publications

(22 citation statements)

References 40 publications

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“…Studies show producing cement is one of the biggest reasons for greenhouse gases. In fact, in producing each ton of cement, almost a ton of CO2 produces [1][2][3][4][5]. This phenomenon has become one of the biggest problems in construction.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the creep coefficient of green concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and Salp swarm algorithm

Kandiri¹,

Fotouhi²

2021

JCM

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Using ground granulated blast furnace slag (GGBFS) in concrete mixtures that is known as supplementary materials, has both technical and economic advantages. The using of energy and greenhouse gas emission can be less if cement replaced by GGBFS in concrete mixtures. It is necessary to develop a detailed model in order to evaluate the creep coefficient of the concretes containing GGBFS because of important role of its value as a parameter in different design codes. In addition, it can save energy, cost, and time in comparison to direct laboratory-based measurements. In this research, to develop a model for the estimation of the creep coefficient of concretes containing GGBFS, Artificial neural network (ANN) was used. A multi-objective optimization method titled multi-objective slap swarm algorithm (MOSSA) was proposed to optimize the error and complexity of the developed ANN models. To develop predictive models of creep coefficient. Besides, one of the most used classification techniques to solve engineering problems which is The M5P model tree algorithm was used in order to develop predictive models of creep coefficient. The efficiency of the proposed model developed based on the ANN algorithm was compared with that of the model developed based on the M5P model tree technique with the help of several error measures. The findings from this research indicate that the M5P model tree and the proposed ANN model can successfully provide predictive tools for estimating the creep coefficient of concretes containing GGBFS with 13.36% and 1.79% mean absolute percentage error (MAPE), respectively. These values indicate that the proposed model based on ANN algorithm has superior efficiency compared to the one developed using M5P model tree.

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Section: Introductionmentioning

confidence: 99%

Prediction of the creep coefficient of green concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and Salp swarm algorithm

Kandiri¹,

Fotouhi²

2021

JCM

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show abstract

“…However, the Portland cement production process requires a high energy consumption and it involves a large amount of CO 2 emissions. This binder is attributed to one of the major causes behind global warming [3,4]. The appearance of a geopolymer binder not only satisfies the mechanical properties, but also pays attention to a novel green building material over Portland cement in the case that there is a reasonable choice of raw materials for geopolymers [5,6].…”

Section: Introductionmentioning

confidence: 99%

Flexural Performance Evaluation of Various Carbon Fibre Fabric Reinforced Geopolymer Composite

Huang¹

2020

Ceramics - Silikaty

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In this paper, the results of an experimental investigation on the flexural behaviour, the mechanical properties, and the failure mode of a carbon textile reinforced geopolymer mortar composite subjected to four-point bending test are presented. The influence of various factors such as the type of the carbon fibre fabric, reinforcement ratio, dosage of the chopped basalt fibre on the flexural performance of the reinforced geopolymer composite is experimentally studied. The results reveal that the use of carbon fibre fabrics in the production of high-strength geopolymer matrix composites makes it possible for them to achieve a relatively high mechanical strength. Moreover, the value of the flexural strength and flexural toughness is strongly influenced by the reinforcement ratio and the mechanical properties of the fibre yarn of the carbon textile. The addition of the chopped basalt fibre (BF) plays an important role in both the improved mechanical strength and the failure mode of the geopolymer textile composites. The failure mode of all the specimens shows either a pure bending failure or a peeling off the concrete at the matrix/fibre interface due to the rupture of some filaments in the outer layer and the loss of the bonding strength of the fibre yarn in the matrix leading to the slippage of the fibre yarns within the matrix.

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“…However, the Portland cement production process requires high energy consumption and it involves a large amount of CO 2 emission. This binder is attributed to one of the major causes behind the global warming [10,11]. The appearance of geopolymer binder not only satisfies the mechanical properties but also pays attention to a novel green building material over Portland cement in the case that there is a reasonable choice of raw materials for geopolymers [12,13].…”

Section: Introductionmentioning

confidence: 99%

Composite Performance Evaluation of Basalt Textile-Reinforced Geopolymer Mortar

Huang

Louda

et al. 2019

Fibers

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Basalt fiber is a novel type of inorganic fiber which is produced from the extrusion of natural vocalnic basalt rocks through their melting process at high temperature. So the quality and strength characteristics of basalt fiber depend mainly on both the quality of raw material and manufacturing processing. Basalt fabric-reinforced cementitious composites (FRCM) are a novel composite and an extensive scientific investigation is still ongoing for geopolymer composite. Based on three types of basalt textile with respect to various net sizes, the aim of this paper is to evaluate the flexural performance of basalt textile-reinforced geopolymer composite through the four-point bending test. The specimens of rectangular form with the dimension of 400 × 100 × 15 mm3, reinforced with one to four layers of each type of basalt textile, were produced. They were then tested at the age of about 40 days after casting. On the other hand, the number of the specimens reinforced with four layers were considered to assess the mechanical strength of the specimens at longer periods of ageing time (60, 90, 150, 180 days). The experimental results showed that with the increasing number of reinforcing layers, the specimens significantly improved the mechanical strength, except for those reinforced with basalt textile of big net size. The specimens reinforced with basalt textile of big net size had no impact on post-crack mechanical strength, however, it helps to arrest the catastrophic brittle failure of the specimens; the failure of these specimens is due to localization of first crack. When the specimens were exposed to the further ageing times, the mechanical strength of the specimens were decreased over time. All the reinforced specimens have the same failure mode by flexural failure due to the rupture of fiber yarn in matrix, and no debonding of fiber yarn or a gradual peeling process of mortar matrix happened during testing.

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Effects of deicers on the performance of concrete pavements containing air-cooled blast furnace slag and supplementary cementitious materials

Cited by 52 publications

References 40 publications

Prediction of the creep coefficient of green concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and Salp swarm algorithm

Prediction of the creep coefficient of green concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and Salp swarm algorithm

Flexural Performance Evaluation of Various Carbon Fibre Fabric Reinforced Geopolymer Composite

Composite Performance Evaluation of Basalt Textile-Reinforced Geopolymer Mortar

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