Influence of ground granulated blast furnace slag on cracking potential of high performance concrete at early age

Shen, Dejian; Jiao, Yang; Gao, Yu; Zhu, Shuaishuai; Jiang, Guoqing

doi:10.1016/j.conbuildmat.2019.117839

Cited by 65 publications

(15 citation statements)

References 53 publications

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“…On the use of slag, the following works stand out. Shen et al (2020) [ 130 ] and Shen et al (2020) [ 131 ] studied the use of blast furnace slag in HPC obtaining a strength of 52 and 66.9 MPa, respectively. Cheah et al (2019) [ 132 ] and Ma et al (2018) [ 133 ] studied the use of blast furnace slag together with fly ash for the production of high-performance concrete, obtaining strength at 28 days of approximately 50 MPa.…”

Section: Classic Components Used For Hpc and Uhpc Productionmentioning

confidence: 99%

Materials for Production of High and Ultra-High Performance Concrete: Review and Perspective of Possible Novel Materials

Marvila¹,

Azevedo²,

Matos

et al. 2021

Materials

110

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This review article proposes the identification and basic concepts of materials that might be used for the production of high-performance concrete (HPC) and ultra-high-performance concrete (UHPC). Although other reviews have addressed this topic, the present work differs by presenting relevant aspects on possible materials applied in the production of HPC and UHPC. The main innovation of this review article is to identify the perspectives for new materials that can be considered in the production of novel special concretes. After consulting different bibliographic databases, some information related to ordinary Portland cement (OPC), mineral additions, aggregates, and chemical additives used for the production of HPC and UHPC were highlighted. Relevant information on the application of synthetic and natural fibers is also highlighted in association with a cement matrix of HPC and UHPC, forming composites with properties superior to conventional concrete used in civil construction. The article also presents some relevant characteristics for the application of HPC and UHPC produced with alkali-activated cement, an alternative binder to OPC produced through the reaction between two essential components: precursors and activators. Some information about the main types of precursors, subdivided into materials rich in aluminosilicates and rich in calcium, were also highlighted. Finally, suggestions for future work related to the application of HPC and UHPC are highlighted, guiding future research on this topic.

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Section: Classic Components Used For Hpc and Uhpc Productionmentioning

confidence: 99%

Materials for Production of High and Ultra-High Performance Concrete: Review and Perspective of Possible Novel Materials

Marvila¹,

Azevedo²,

Matos

et al. 2021

Materials

110

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show abstract

“…In this research, a comprehensive database consist of 131 different experimental records of concretes that made with GGBFS was collected from the literature in order to develop the models for the prediction of the elastic modulus [37][38][39][40][41][42][43]. In all mixes, the curing conditions were not changed.…”

Section: Data Collectionmentioning

confidence: 99%

Prediction of the module of elasticity 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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Ground granulated blast furnave slag (GGBFS) once used in concrete derives both technical and economic advantages. Energy consumption and greenhouse gas emissions can be reduced significantly if cement is replaced by GGBFS in concrete mixtures. However, it is necessary to develop a detailed model in order to evaluate the elastic modulus 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 elastic modulus 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 elastic modulus. Besides, one of the most used classification techniques to solve engineering problems that is The M5P model tree algorithm was used in order to develop predictive models of elastic modulus. 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 result of this research is that it is possible using the M5P model tree and the proposed ANN model for the purpose of provide predictive tools for estimating the elastic modulus of concretes containing GGBFS and these would have 13.36% and 1.79% mean absolute percentage error (MAPE), respectively. It is understood from these values that the proposed model based on ANN algorithm is much more effective than the one developed using M5P model tree.

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“…Cement-based materials are the most widely used construction materials around the world. However, normal cement-based materials usually present some unfavorable properties (i.e., high porosity [1,2], high chloride diffusivity and oxygen diffusivity [3][4][5][6][7], limited tensile strength [8], fracture toughness [9], and early-age cracking [10,11]), which affect the durability of concrete structures.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties of Polypropylene Fiber Cement Mortar under Different Loading Speeds

Chen

Huang

et al. 2021

Sustainability

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In this work, the relationships between the mechanical properties (i.e., compressive strength and flexural strength) and loading speed of polypropylene fiber (PPF)-incorporated cement mortar at different ages (before 28 days) were studied. A total of 162 cubic samples for compressive strength tests and 162 cuboid samples for flexural strength tests were casted and tested. Analytical relationships between the sample properties (i.e., sample age, PPF content, and loading speed) and compressive and flexural strength were proposed based on the experimental data, respectively. Of the predicted compressive and flexural strength results, 70.4% and 75.9% showed less than 15% relative error compared with the experimental results, respectively.

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Influence of ground granulated blast furnace slag on cracking potential of high performance concrete at early age

Cited by 65 publications

References 53 publications

Materials for Production of High and Ultra-High Performance Concrete: Review and Perspective of Possible Novel Materials

Materials for Production of High and Ultra-High Performance Concrete: Review and Perspective of Possible Novel Materials

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

Mechanical Properties of Polypropylene Fiber Cement Mortar under Different Loading Speeds

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