Laminating; the best way to improve Charpy impact energy of nanocomposites

Abdellahi, Majid; Bahmanpour, Marjan; Bahmanpour, Maryam

doi:10.1016/j.ceramint.2014.07.041

Cited by 11 publications

(3 citation statements)

References 26 publications

(33 reference statements)

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“…Three basic genetic operators including reproduction, crossover and mutation are present in the GP. Gene expression programming (GEP) as an advanced version of GP has recently attracted a lot of attention [11][12][13][14][15][16][17][18][19][20]. In GEP, individuals are encoded as linear strings of fixed size (genome), which are expressed later as non-linear entities with different sizes and shapes.…”

Section: Introductionmentioning

confidence: 99%

Modeling effect of SiO2 nanoparticles on the mechanical properties of the concretes

2017

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In the present study, the effect of SiO 2 nanoparticles on the mechanical properties (compressive, flexural and tensile strength) of the binary blended concrete is studied. SiO 2 nanoparticles with two different sizes of 20 and 100 nm were used as partial cement replacement by 0.25, 0.5, 0.75, 1.0, 1.25, 1.5, 1.75 and 2.0%. According to the obtained results, during the first few days of curing, the concrete specimens made with 20 nm SiO 2 particles had a higher strength than those of 100 nm. It was interesting that in the last few days of curing, the situation was reversed. According to the SEM images, in the initial days of curing, a higher amount of C-S-H gel was formed around the 20 nm SiO 2 particles compared to that of 100 nm ones. As an explanation for this event, one can mention to the presence of more nucleation sites which caused a significant acceleration in early age strength. It was while that, the growth of the C-S-H gel around the 100 nm particles was higher in 84 days of moist curing. An artificial intelligence based model was also presented for simulating the mechanical properties of the binary blended concrete. To construct the model, training and testing of the model were conducted by using experimental results from 51 specimens. The input parameters were five independent variables which consist of the number of the days of curing, quantity of SiO 2 (%), quantity of SiO 2 (kg), quantity of cement (kg) and the size of SiO 2 nanoparticles. The training and testing results in the proposed model confirmed a strong capability for predicting mechanical properties of the binary blended concrete.

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Section: Introductionmentioning

confidence: 99%

Modeling effect of SiO2 nanoparticles on the mechanical properties of the concretes

2017

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“…This issue has been immensely explored in, for example, the simulation of hardness in nanocomposites [11], the process time [12], combustion reactions [13], the Charpy impact energy [14], the Seebeck of thermoelectric ceramics [15] and mechanical properties of polymer composites [16] and ceramic tools [17]. The above examples suffice to clarify the capability of GEP in modelling engineering parameters.…”

Section: Introductionmentioning

confidence: 99%

Modelling corrosion rate of biodegradable magnesium-based alloys: The case study of Mg-Zn-RE-xCa (x = 0, 0.5, 1.5, 3 and 6 wt%) alloys

Bakhsheshi‐Rad

Abdellahi

Hamzah

et al. 2016

Journal of Alloys and Compounds

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“…Abdellahi et al [9,10] applied GEP to predict the hardness of metal matrix nanocomposutes produced by mechanical alloying. By the use of the same method [11] they also minimized the synthesis time of nanocomposites in mechanical alloying.…”

Section: Introductionmentioning

confidence: 99%

Self-ignited synthesis of nanocomposite powders induced by Spex mills; modeling and optimizing

Ebrahimi‐Kahrizsangi

Abdellahi

Bahmanpour

2015

Ceramics International

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Laminating; the best way to improve Charpy impact energy of nanocomposites

Cited by 11 publications

References 26 publications

Modeling effect of SiO2 nanoparticles on the mechanical properties of the concretes

Modeling effect of SiO2 nanoparticles on the mechanical properties of the concretes

Modelling corrosion rate of biodegradable magnesium-based alloys: The case study of Mg-Zn-RE-xCa (x = 0, 0.5, 1.5, 3 and 6 wt%) alloys

Self-ignited synthesis of nanocomposite powders induced by Spex mills; modeling and optimizing

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