A study of the effect of rheological properties of fresh concrete on shotcrete-rebound based on different additive components

Pan, Gang; Li, Pengcheng; Chen, Lianjun; Liu, Guoming

doi:10.1016/j.conbuildmat.2019.07.060

Cited by 53 publications

(19 citation statements)

References 35 publications

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“…is research can provide a theoretical basis for shotcrete in mine. High quality wet-mix shotcrete with PET fiber can effectively reduce mine disasters, such as dust and roof accidents [78][79][80][81][82][83][84][85][86][87][88][89][90][91][92][93][94][95].…”

Section: Relationship Between Shootability and Mechanicalmentioning

confidence: 99%

Effects of PET Fibers on Pumpability, Shootability, and Mechanical Properties of Wet‐Mix Shotcrete

Cui

Liu

Wang

et al. 2019

Advances in Civil Engineering

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Polyethylene terephthalate (PET) fiber from waste plastic bottles is an environmentally friendly fiber that can improve the mechanical properties of wet-mix shotcrete. The main objective of this paper is to investigate the effects of PET fiber parameters on pumpability, shootability, and mechanical properties of wet-mix shotcrete. For this purpose, the orthogonal test based on three factors and three levels was conducted. The width, length, and content of PET fiber were selected as the experimental variables. The tests of wet-mix shotcrete reinforced by PET fibers were carried out, along with properties tests such as slump, pressure drop, build-up thickness, compressive strength, and splitting strength. The results showed the change trend of shotcrete performances with increasing PET fiber parameters (width, length, and content). According to the orthogonal test, PET fiber parameters were determined (1 mm width, 20 mm length, and 5 kg/m3 content). Furthermore, relationships between slump and pumpability and shootability were explored, as well as the relationships between pumpability, shootability, and mechanical properties. It was found that pressure drop and compressive strength had the strongest negative linear relationship among all fitting relationships. We hoped that this study could contribute the useful information for the application of wet-mix shotcrete mixed with PET fibers.

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Section: Relationship Between Shootability and Mechanicalmentioning

confidence: 99%

Effects of PET Fibers on Pumpability, Shootability, and Mechanical Properties of Wet‐Mix Shotcrete

Cui

Liu

Wang

et al. 2019

Advances in Civil Engineering

Self Cite

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“…In addition, rebound may lead to an in-situ mixture which has more cement content and therefore causes more contraction [19]. The lower the rebound rate, the better the quality of shotcrete will be [14]. For this reason, reduction of rebound loss and improvement of material quality has been the main targets to improve the shot [19].…”

Section: Related Workmentioning

confidence: 99%

“…Too much rebound increases material costs excessively [12]. Loss of significant material subject to the rebound of fresh concrete, and low--quality shotcrete continue to be disadvantages [14].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network

2021

Teh. vjesn.

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In this study, a new machine learning approach has been proposed to predict the rebound causing loss of material in shotcrete using the ensemble learning method. In shotcrete application, the amount of rebound material was obtained for use in a dataset. In this study, the shotcrete mixes that contain an additive of fly-ash, silica fume, and polypropylene fiber were produced besides simple shotcrete. Each mix was sprayed onto 2 wooden panels measuring 45 × 45 × 15 cm in size. The rebound material resulting from the spraying process was collected, weighed and recorded as data. The highest rebound was observed for the plain sample and the lowest for samples with substituted silica fume. Dependent and independent parameters were identified in the dataset produced as a result of experimental studies. Hyperparameters producing optimum results in the training of the model were identified for the model and boosting method. The dataset was split into training and testing sets by 80% and 20%, respectively. As a result, the model achieved a prediction performance of 84.25%. To test the performance of the proposed model, traditional machine learning algorithms were compared on the same dataset. Consequently, the proposed model was observed to have the highest accuracy.

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“…Berenguer et al [ 57 ] studied the durability of concrete structures with sugar bagasse ash, while considering it (sample A) as a pozzolanic material to improve the durability properties of concrete. In [ 58 ], Pan et al investigated the effect of the rheological properties of fresh concrete on shotcrete-rebound based on different additive components.…”

Section: Introductionmentioning

confidence: 99%

Concept of Evaluation of Mineral Additives’ Effect on Cement Pastes’ Durability and Environmental Suitability

2021

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This experimental study focuses on the assessment of mineral additives and their incorporation into cement composites (CC). The assessment was based on a holistic approach to the performance of the durability properties of CC. Environmental suitability was also taken into consideration. In the experiments, cement pastes with w/c ratios of 0.3, 0.4, and 0.5, respectively, were prepared. Natural zeolite (NZ) and densified silica fume (SF) at doses of 7.5 and 15.0 wt.% of cement were used as the investigated (replacement) materials. Their effects (including development over time) on density, strength (flexural and compressive), porosity by water absorption, permeability by rapid chloride penetration (RCP) test, phase content by thermal analysis, and hydration progression, were observed. The results were then used to propose an evaluation approach. Natural zeolite was used for its known pozzolanic activity and classification as a supplementary cementitious material (SCM). In contrast SF acted as a filler in cement pastes, and thus did not have a direct positive effect on durability. The concept of comprehensive analysis for unknown additive classification is proposed to expressly differentiate between SCM, inert, and improving mineral additive. This concept could be applied to the assessment of mineral additives with regards to the durability and suitability of cement composites.

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A study of the effect of rheological properties of fresh concrete on shotcrete-rebound based on different additive components

Cited by 53 publications

References 35 publications

Effects of PET Fibers on Pumpability, Shootability, and Mechanical Properties of Wet‐Mix Shotcrete

Effects of PET Fibers on Pumpability, Shootability, and Mechanical Properties of Wet‐Mix Shotcrete

Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network

Concept of Evaluation of Mineral Additives’ Effect on Cement Pastes’ Durability and Environmental Suitability

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