Prediction of energy absorption capability in fiber reinforced self-compacting concrete containing nano-silica particles using artificial neural network

Tavakoli, Hamid; Omran, Omid Lotfi; Kutanaei, Saman Soleimani; Shiade, Masoud Falahtabar

doi:10.1590/s1679-78252014000600004

Cited by 42 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fibers for reinforcement in laminate can be classified into two categories: (i) low modulus, high elongation fibers such as nylon, polypropylene and polyethylene. This type of fibers could primarily enhance the energy absorption of composites in the post-cracking stage (as glycoprotein in GA) and (ii) high modulus and mechanical strength fibers such as steel, glass and asbestos that could enhance the strength and the toughness of the composites [23][24][25][26][32][33][34][35][36]. The natural gum-derived polymer GA is applied as the binder to enhance the tolerance to cracking from volume expansion in Si anode materials.…”

Section: Introductionmentioning

confidence: 99%

Dual-functional gum arabic binder for silicon anodes in lithium ion batteries

et al. 2015

View full text Add to dashboard Cite

Si has attracted enormous research and manufacturing attention as an anode material for lithium ion batteries (LIBs) because of its high specific capacity. The lack of a low cost and effective mechanism to prevent the pulverization of Si electrodes during the lithiation/ delithiation process has been a major barrier in the mass production of Si anodes. Naturally abundant gum arabic (GA), composed of polysaccharides and glycoproteins, is applied as a dualfunction binder to address this dilemma. Firstly, the hydroxyl groups of the polysaccharide in GA are crucial in ensuring strong binding to Si. Secondly, similar to the function of fiber in fiberreinforced concrete (FRC), the long chain glycoproteins provide further mechanical tolerance to dramatic volume expansion by Si nanoparticles. The resultant Si anodes present an outstanding capacity of ca. 2000 mAh/g at a 1 C rate and 1000 mAh/g at 2 C rate, respectively, throughout 500 cycles. Excellent long-term stability is demonstrated by the maintenance of 1000 mAh/g specific capacity at 1 C rate for over 1000 cycles. This low cost, naturally abundant and environmentally benign polymer is a promising binder for LIBs in the future.

show abstract

Section: Introductionmentioning

confidence: 99%

Dual-functional gum arabic binder for silicon anodes in lithium ion batteries

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Concrete damage plasticity was used to model a concrete plate. Here, a stress-strain curve for compressive and tensile behavior of concrete was calculated [19][20][21][22][23]. This model was also able to define the failure behavior of the concrete in the software.…”

Section: Experimental Study and Modeling With Abaqusmentioning

confidence: 99%

“…In this paper, all models were based on a feed-forward neural network. This was the first and simplest kind of ANN devised, in which the information is processed in only one direction, from the input nodes through the hidden layer to the output nodes, using no cycles or loops [20]. The FEM data were split into three subsets (training data, testing data, and validating data).…”

Section: Modelling With Artificial Neural Networkmentioning

confidence: 99%

A Numerical Study on the Effect of Position and Number of Openings on the Performance of Composite Steel Shear Walls

Badarloo

Jafari

2018

Buildings

View full text Add to dashboard Cite

Use of composite steel shear walls (CSSW) in earthquake-resistant structures has grown in recent years. However, no thorough information exists on their performance, especially in cases where openings are present. In the present study, in order to first validate the analysis method, ABAQUS was used to model the studied composite shear wall with gap at UC-Berkeley, according to the results of which, a good agreement between the experimental and analytical models was observed. Then, the effect of the position and number of the openings on the performance of the walls was addressed. To this end, models with various openings, including openings close to the beam/column, horizontal/vertical openings and distributing opening, were prepared and analyzed. The results indicate that the maximum reduction in stiffness and strength occurred in walls with single openings. The size of opening and the opening’s area significantly affect shear wall performance. Ultimately, artificial neural network and fitness function tools were employed to obtain predictive models for shear wall performance. A neural network has proven an appropriate alternative method for predicting the displacement, stress, and strength of the composite shear wall.

show abstract

“…They also produce hydrated calcium silicate which enhances the strength of cement paste [25]. In addition, it has been found that when the small particles of nanoparticles uniformly disperse in the paste, due to their high activity, a large number of nucleation sites for the precipitation of the hydration products are generated, accelerating cement hydration [26,27]. Ghazi et al investigated the effect of nanosilica addition on compressive strength of clay stabilized with 6% cement.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties of Sandy Soil Improved with Cement and Nanosilica

2015

Self Cite

View full text Add to dashboard Cite

Abstract:In the literature, studies show that nanosilica particles and artificial pozzolans possessing can improve structural properties of cement-based materials. This paper studies the effect of cement and nanosilica on the engineering properties (compaction, unconfined compressive strength) of sand. Three different cement ratios (5, 9, and 14% by weight of dry sand) were mixed with four different nano silica ratios (0, 5, 10, and 15% by weight of cement), and then compacted into a cylindrical specimen. The results of the study presented that the addition of the cement and nanosilica improves the engineering properties of sands. The increase of maximum dry unit weight of sand was noted with the increase in the cement content. The presence of nanosilica in optimal percentages can significantly improve the mechanical properties of cement sand.

show abstract

Prediction of energy absorption capability in fiber reinforced self-compacting concrete containing nano-silica particles using artificial neural network

Cited by 42 publications

References 13 publications

Dual-functional gum arabic binder for silicon anodes in lithium ion batteries

Dual-functional gum arabic binder for silicon anodes in lithium ion batteries

A Numerical Study on the Effect of Position and Number of Openings on the Performance of Composite Steel Shear Walls

Mechanical Properties of Sandy Soil Improved with Cement and Nanosilica

Contact Info

Product

Resources

About