Combined Effect of Aggregate and Mineral Admixtures on Tensile Ductility of Engineered Cementitious Composites

Şahmaran, Mustafa; Yücel, Hasan Erhan; Demirhan, Serhat; Arik, M.T.; Li, Victor C.

doi:10.14359/51684160

Cited by 10 publications

(8 citation statements)

References 13 publications

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“…The weak interfacial transition zone results in a lower compressive strength of the composite (17). Moreover, coarse particle size will lead to balling of fibers and results in increased porosity of mixture, which means poor compressive performance (27). The standard deviations of A_36_87 and A_40_63 are greater than those of both A_88_100 and A_43_99 sand gradation specimens, which may caused by poor fiber dispersion.…”

Section: • 90smentioning

confidence: 99%

Effect of hybrid fibers, calcium carbonate whisker and coarse sand on mechanical properties of cement-based composites

Cao

Khan

2018

Mater. construcc.

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Nowadays researchers are developing a new hybrid fiber reinforced cement-based composites (HyFRCC). The new HyFRCC can restrain micro-cracking, improves compressive and flexural performance of beams by addition of calcium carbonate (CaCO 3 ) whisker, polyvinyl alcohol (PVA) fiber and steel fiber. In this work, a mix optimization procedure is shown for multi-scale HyFRCC, with steel, PVA fiber and CaCO 3 whisker. The new HyFRCC is explored with addition of coarse sand to further improve its mechanical properties. Additionally, the flexural performance of beam and slabs has been investigated to optimize sand gradation and fiber combination in new HyFRCC. The compressive strength, flexural strength, flexural behavior, flexural toughness, equivalent flexural strength and deflection-hardening behavior of beams and slabs are improved with optimized content of sand gradation, fibers and CaCO 3 whisker. The HyFRCC slab with 1.5% steel fiber, 0.4% PVA fiber, 1% CaCO 3 whisker and optimized coarse sand showed overall best properties. Citation/Citar como: Cao, M.; Li, L.; Khan, M. (2018) Effect of hybrid fibers, calcium carbonate whisker and coarse sand on mechanical properties of cement-based composites. Mater. Construcc. 68 [330], e156 https://doi.org/10.3989/ mc.2018.01717 RESUMEN:Effecto de fibras híbridas, filamentos de carbonato cálcico y arena gruesa en las propiedades mecánicas de cementos compuestos. En la actualidad se están desarrollando nuevos cementos compuestos reforzados con fibras híbridas (HyFRCC, por sus siglas en inglés). Estos nuevos cementos HyFRCC pueden impedir la microfisuración y aumentar la resistencia a compresión y flexotracción de las vigas, mediante la incorporación de filamentos de carbonato cálcico (CaCO 3 ), fibras de alcohol polivinílico (PVA) y fibras de acero. En este trabajo se plantea un procedimiento para optimizar la proporción de fibras (de acero y de PVA) y filamentos (de CaCO 3 ) en un nuevo HyFRCC. Se investiga la influencia de la arena gruesa en sus propiedades mecánicas, además de la resistencia a flexotracción de vigas y forjados a fin de adecuar la granulometría de la arena y la combinación de fibras en el nuevo material. Un buen ajuste entre el contenido y la granulometría de la arena y la proporción de las fibras y de los filamentos de CaCO 3 permite: incrementar la resistencia tanto a compresión como a flexotracción, la tenacidad a flexotracción y la resistencia a flexotracción equivalente; perfeccionar el comportamiento a flexión; y reducir la flecha de vigas y forjados endurecidos. La mezcla que mejores resultados arroja en conjunto contiene 1,5 % de fibras de acero, 0,4 % de fibras de PVA, 1 % de filamentos de CaCO 3 y arena gruesa optimizada. PALABRAS CLAVE: Composite; Microfisuras; Carbonato cálcico; Resistencias a compresión; Resistencias a flexión ORCID ID: M. Cao

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Section: • 90smentioning

confidence: 99%

Effect of hybrid fibers, calcium carbonate whisker and coarse sand on mechanical properties of cement-based composites

Cao

Khan

2018

Mater. construcc.

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“…As per the cross validation method, every layer used different nodes (12 to 8). As per literature, a learning rate of 0.001 to 0.009 was kept [21][22][23]. ANN is also recognised to be weight-initializing sensitive.…”

Section: Resultsmentioning

confidence: 99%

“…In the Pandas library, data cleaning and analysis features are applied. A total of 324 and 147 SM concrete mix specimens (Laboratory cast) were checked with various researchers' data for considering compressive strength and split tensile strength, respectively [5][6][7][8][9][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The available categorical parameters used for the prediction model are noted in Table 1 and non-categorical mention in Table 2.…”

Section: 𝑍 𝑗"mentioning

confidence: 99%

An artificial neural network for the prediction of the strength of supplementary cementitious concrete

Mahajan¹,

Bhagat²

2022

Res. Eng. Struct. Mater.

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Supplementary materials (SM) for cement replacement became more feasible in the previous decade due to their pozzolanic strength and durability properties. The strength variation according to the age of the binding material is a critical subject for SM concrete. The time of water curing is critical in order to maintain the pozzolanic reaction in SM concrete, which assists in the development of strength in cementitious properties.In this study, the laboratory results of concrete specimens were assessed for various mix designs, and the obtained corresponding strengths were also predicted with ANN techniques. The difference between experimental and ANN predicted values was marginally low. Thus, the ANN model applicability emphasised the productive use in predicting the strength of supplementary materials like fly ash or any similar pozzalanic mineral admixture. This research proposes an ANN-based technique for predicting the strength of fly ash added SM concrete. Typical experimental data is used to build, train, and test the artificial neural network (ANN) model. With ANN and input parameters, a total of 324 distinct data points for SM concrete were utilised to estimate SM concrete strength. Various combinations of layers, number of neurons, and learning rate were examined during the training phase. When the root mean square error (RMSE) reached or remained below 0.001, the training was stopped, and the findings were verified using a test data set. With respect to the relative error provided for trained model data, the results achieved were typically below 10% for compressive strength and below 5% for split tensile strength. The ANN models predict concrete strength with excellent accuracy, and the findings show that utilising ANNs to predict concrete strength is both practicable and advantageous.

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“…Ayrıca, bu karışımların 7. ve 28. gündeki maksimum eğilme yükü ve orta noktadaki sehim eğrileri sırasıyla, Şekil 14 ve Şekil 15'de sunulmuştur. [87]. Ayrıca, UK+YFC esaslı EGC karışımlarının deformasyon kapasiteleri, özellikle UK parçacıklarının pürüzsüz küresel şekli ile yüksek hacimde UK içeren ECC karışımının arttırılmış sünekliği arasında bildirilen yakın ilişki ile, FA ikamesi olarak kullanılan YFC parçacıklarının pürüzlü ve köşeli parçacık morfolojisinden de olumsuz etkilenmiş olabilir [88].…”

Section: Eğilme Performansıunclassified

M45-ECC ve uçucu kül+cüruf esaslı tasarlanmış geopolimer kompozitlerin mekanik ve mikroyapısal özellikleri

Öz¹,

Güneş

2023

NÖHÜ Müh. Bilim. Derg.

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Bu çalışmada, literatürde M45 kodu ile bilinen standart tasarlanmış çimento esaslı kompozite (ECC) benzer taşıma gücü ve deformasyon kapasitesine sahip bir uçucu kül+cüruf (UK+C) esaslı tasarlanmış geopolimer kompozit (EGC) karışımının geliştirilmesi amaçlanmıştır. Bu amaçla M45-ECC’nin yanı sıra farklı oranlarda UK ve C içeren iki farklı EGC karışımı geliştirilmiştir. Üretilen bu üç karışımın taze ve reolojik özelliklerinin yanı sıra basınç dayanımı, elastisite modülü, hava kurusu yoğunluğu, yapısal verimliliği, ultrasonik titreşim hızı (UTH), kırılma tokluğu ve eğilme performansı 7. ve 28. günlerde belirlenmiştir. Sonuçta, M45-ECC’den çok daha yüksek basınç dayanımına ve daha yüksek sünekliğe sahip bir EGC karışımı elde edilmiştir. Ayrıca, artan C içeriğinin mekanik dayanımı ve tokluğu artırdığı ancak, sünekliği azalttığı tespit edimiştir. Bu durumun nedenleri XRD, TGA/DTA ve FTIR analizleri ile mikroyapısal olarak araştırılmıştır.

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Combined Effect of Aggregate and Mineral Admixtures on Tensile Ductility of Engineered Cementitious Composites

Cited by 10 publications

References 13 publications

Effect of hybrid fibers, calcium carbonate whisker and coarse sand on mechanical properties of cement-based composites

Effect of hybrid fibers, calcium carbonate whisker and coarse sand on mechanical properties of cement-based composites

An artificial neural network for the prediction of the strength of supplementary cementitious concrete

M45-ECC ve uçucu kül+cüruf esaslı tasarlanmış geopolimer kompozitlerin mekanik ve mikroyapısal özellikleri

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