CLC number: TU528.572
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-09-03
Cited: 0
Clicked: 4570
Fang-yu Liu, Wen-qi Ding, Ya-fei Qiao, Lin-bing Wang, Qi-yang Chen. Compressive behavior of hybrid steel-polyvinyl alcohol fiber-reinforced concrete containing fly ash and slag powder: experiments and an artificial neural network model[J]. Journal of Zhejiang University Science A, 2021, 22(9): 721-735.
@article{title="Compressive behavior of hybrid steel-polyvinyl alcohol fiber-reinforced concrete containing fly ash and slag powder: experiments and an artificial neural network model",
author="Fang-yu Liu, Wen-qi Ding, Ya-fei Qiao, Lin-bing Wang, Qi-yang Chen",
journal="Journal of Zhejiang University Science A",
volume="22",
number="9",
pages="721-735",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2000379"
}
%0 Journal Article
%T Compressive behavior of hybrid steel-polyvinyl alcohol fiber-reinforced concrete containing fly ash and slag powder: experiments and an artificial neural network model
%A Fang-yu Liu
%A Wen-qi Ding
%A Ya-fei Qiao
%A Lin-bing Wang
%A Qi-yang Chen
%J Journal of Zhejiang University SCIENCE A
%V 22
%N 9
%P 721-735
%@ 1673-565X
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2000379
TY - JOUR
T1 - Compressive behavior of hybrid steel-polyvinyl alcohol fiber-reinforced concrete containing fly ash and slag powder: experiments and an artificial neural network model
A1 - Fang-yu Liu
A1 - Wen-qi Ding
A1 - Ya-fei Qiao
A1 - Lin-bing Wang
A1 - Qi-yang Chen
J0 - Journal of Zhejiang University Science A
VL - 22
IS - 9
SP - 721
EP - 735
%@ 1673-565X
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2000379
Abstract: Understanding the mechanical behavior of hybrid fiber-reinforced concrete (HFRC), a composite material, is crucial for the design of HFRC and HFRC structures. In this study, a series of compression experiments were performed on hybrid steel-polyvinyl alcohol (PVA) fiber-reinforced concrete containing fly ash and slag powder, with a focus on the fiber content/ratio effect on its compressive behavior; a new approach was built to model the compression behavior of HFRC by using an artificial neural network (ANN) method. The proposed ANN model incorporated two new developments: the prediction of the compressive stress-strain curve and consideration of 23 features of components of HFRC. To build a database for the ANN model, relevant published data were also collected. Three indices were used to train and evaluate the ANN model. To highlight the performance of the ANN model, it was compared with a traditional equation-based model. The results revealed that the relative errors of the predicted compressive strength and strain corresponding to compressive strength of the ANN model were close to 0, while the corresponding values from the equation-based model were higher. Therefore, the ANN model is better able to consider the effect of different components on the compressive behavior of HFRC in terms of compressive strength, the strain corresponding to compressive strength, and the compressive stress-strain curve. Such an ANN model could also be a good tool to predict the mechanical behavior of other composite materials.
[1]Açikgenç M, Ulaş M, Alyamaç KE, 2015. Using an artificial neural network to predict mix compositions of steel fiber-reinforced concrete. Arabian Journal for Science and Engineering, 40(2):407-419.
[2]Arulmurugan P, 2018. Evaluation of FRC beams using steel and pva fibres in concrete. International Journal of Advance Research and Innovation, 6(1):121-124.
[3]Bai J, Wild S, Ware JA, et al., 2003. Using neural networks to predict workability of concrete incorporating metakaolin and fly ash. Advances in Engineering Software, 34(11-12):663-669.
[4]Belletti B, Cerioni R, Meda A, et al., 2008. Design aspects on steel fiber-reinforced concrete pavements. Journal of Materials in Civil Engineering, 20(9):599-607.
[5]Blanco A, Pujadas P, de la Fuente A, et al., 2016. Influence of the type of fiber on the structural response and design of FRC slabs. Journal of Structural Engineering, 142(9):04016054.
[6]CAECS (China Association for Engineering Construction Standardization), 2010. Standard Test Methods for Fiber Reinforced Concrete, CECS 13:2009. National Standards of the People’s Republic of China (in Chinese).
[7]Chi Y, Xu LH, Yu HS, 2014a. Constitutive modeling of steel-polypropylene hybrid fiber reinforced concrete using a non-associated plasticity and its numerical implementation. Composite Structures, 111:497-509.
[8]Chi Y, Xu LH, Zhang YY, 2014b. Experimental study on hybrid fiber-reinforced concrete subjected to uniaxial compression. Journal of Materials in Civil Engineering, 26(2):211-218.
[9]de la Fuente A, Pujadas P, Blanco A, et al., 2012. Experiences in Barcelona with the use of fibres in segmental linings. Tunnelling and Underground Space Technology, 27(1):60-71.
[10]Ding WQ, Gong YF, Qiao YF, et al., 2020. Experimental investigation on mechanical behavior of segmental joint under combined loading of compression-bending-shear. Tunnelling and Underground Space Technology, 98: 103346.
[11]Feng J, Sun WW, Zhai HZ, et al., 2018. Experimental study on hybrid effect evaluation of fiber reinforced concrete subjected to drop weight impacts. Materials, 11(12):2563.
[12]Gong CJ, Ding WQ, Mosalam KM, et al., 2017. Comparison of the structural behavior of reinforced concrete and steel fiber reinforced concrete tunnel segmental joints. Tunnelling and Underground Space Technology, 68: 38-57.
[13]Hai R, Liu JX, Zhang ML, et al., 2016. Performance of hybrid steel-polyvinyl alcohol fiber reinforced ultra high performance concrete. Concrete, (5):95-97 (in Chinese).
[14]Hossain KMA, Lachemi M, Sammour M, et al., 2013. Strength and fracture energy characteristics of self-consolidating concrete incorporating polyvinyl alcohol, steel and hybrid fibres. Construction and Building Materials, 45:20-29.
[15]Jiang KJ, Han Q, Bai YL, et al., 2020. Data-driven ultimate conditions prediction and stress-strain model for FRP-confined concrete. Composite Structures, 242:112094.
[16]Karahan O, Tanyildizi H, Atis CD, 2008. An artificial neural network approach for prediction of long-term strength properties of steel fiber reinforced concrete containing fly ash. Journal of Zhejiang University-SCIECNE A, 9:1514-1523.
[17]Lawler JS, Wilhelm T, Zampini D, et al., 2003. Fracture processes of hybrid fiber-reinforced mortar. Materials and Structures, 36(3):197-208.
[18]Lawler JS, Zampini D, Shah SP, 2005. Microfiber and macrofiber hybrid fiber-reinforced concrete. Journal of Materials in Civil Engineering, 17(5):595-604.
[19]Li HY, Liu G, 2016. Tensile properties of hybrid fiber-reinforced reactive powder concrete after exposure to elevated temperatures. International Journal of Concrete Structures and Materials, 10(1):29-37.
[20]Liao L, de la Fuente A, Cavalaro S, et al., 2015. Experimental and analytical study of concrete blocks subjected to concentrated loads with an application to TBM-constructed tunnels. Tunnelling and Underground Space Technology, 49:295-306.
[21]Liu FY, Ding WQ, Qiao YF, 2019a. An experimental investigation on the integral waterproofing capacity of polypropylene fiber concrete with fly ash and slag powder. Construction and Building Materials, 212:675-686.
[22]Liu FY, Ding WQ, Qiao YF, 2019b. Experimental investigation on the flexural behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag powder. Construction and Building Materials, 228:116706.
[23]Liu FY, Ding WQ, Qiao YF, et al., 2020a. An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag power. Frontiers of Structural and Civil Engineering, 14: 1299-1315.
[24]Liu FY, Ding WQ, Qiao YF, 2020b. Experimental investigation on the tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag powder. Construction and Building Materials, 241:118000.
[25]Mashhadban H, Kutanaei SS, Sayarinejad MA, 2016. Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network. Construction and Building Materials, 119:277-287.
[26]MHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China), 2011a. Code for Design of Concrete Structure, GB 50010-2010. National Standards of People’s Republic of China (in Chinese).
[27]MHURD (Ministry of Housing and Urban-Rural Development of the People’s the Republic of China), 2011b. Specification for Mix Proportion Design of Ordinary Concrete, JGJ 55-2011. National Standards of the People’s Republic of China (in Chinese).
[28]Nguyen DL, Kim DJ, Ryu GS, et al., 2013. Size effect on flexural behavior of ultra-high-performance hybrid fiber-reinforced concrete. Composites Part B: Engineering, 45(1):1104-1116.
[29]Pizarroso J, Portela J, Muñoz A, 2020. NeuralSens: sensitivity analysis of neural networks. arXiv: 2002.11423. https://arxiv.org/abs/2002.11423
[30]Pujadas P, Blanco A, Cavalaro S, et al., 2014. Plastic fibres as the only reinforcement for flat suspended slabs: experimental investigation and numerical simulation. Construction and Building Materials, 57:92-104.
[31]Pujadas P, Blanco A, Cavalaro S, et al., 2017. The need to consider flexural post-cracking creep behavior of macro-synthetic fiber reinforced concrete. Construction and Building Materials, 149:790-800.
[32]Saltelli A, 2002. Sensitivity analysis for importance assessment. Risk Analysis, 22(3):579-590.
[33]Serna Ros P, Martí-Vargas JR, Bossio ME, et al., 2016. Creep and residual properties of cracked macro-synthetic fibre reinforced concretes. Magazine of Concrete Research, 68(4):197-207.
[34]Shen QZ, 2013. Mechanical Properties Research for Steel-PVA Hybrid Fibers Reinforced Concrete. MS Thesis, Chang’an University, Xi’an, China (in Chinese).
[35]Shojaeefard MH, Akbari M, Tahani M, et al., 2013. Sensitivity analysis of the artificial neural network outputs in friction stir lap joining of aluminum to brass. Advances in Materials Science and Engineering, 2013:574914.
[36]Sim JS, Park C, Moon DY, 2005. Characteristics of basalt fiber as a strengthening material for concrete structures. Composites Part B: Engineering, 36(6-7):504-512.
[37]Soutsos MN, Le TT, Lampropoulos AP, 2012. Flexural performance of fibre reinforced concrete made with steel and synthetic fibres. Construction and Building Materials, 36:704-710.
[38]Stoll F, Saliba JE, Casper LE, 2000. Experimental study of CFRP-prestressed high-strength concrete bridge beams. Composite Structures, 49(2):191-200.
[39]Tabatabaeian M, Khaloo A, Joshaghani A, et al., 2017. Experimental investigation on effects of hybrid fibers on rheological, mechanical, and durability properties of high-strength SCC. Construction and Building Materials, 147:497-509.
[40]Xu LH, Xu HR, Chi Y, et al., 2011. Experimental study on tensile strength of steel-polypropylene hybrid fiber reinforced concrete. Advanced Science Letters, 4(3):911-916.
[41]Yang KH, 2011. Tests on concrete reinforced with hybrid or monolithic steel and polyvinyl alcohol fibers. ACI Materials Journal, 108(6):664-672.
[42]Zhao GY, di Prisco M, Vandewalle L, 2015. Experimental investigation on uniaxial tensile creep behavior of cracked steel fiber reinforced concrete. Materials and Structures, 48(10):3173-3185.
[43]Zhou Y, Xiao Y, Gu AQ, et al., 2018. Dispersion, workability and mechanical properties of different steel-microfiber-reinforced concretes with low fiber content. Sustainability, 10(7):2335.
[44]Zhou Y, Xiao Y, Gu AQ, et al., 2019. Orthogonal experimental investigation of steel-PVA fiber-reinforced concrete and its uniaxial constitutive model. Construction and Building Materials, 197:615-625.
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