Research Article
BibTex RIS Cite

Shear Resistance of Reinforced Aerated Concrete Slabs: Prediction via Artificial Neural Networks

Year 2019, Volume: 4 Issue: 2, 344 - 350, 21.10.2019
https://doi.org/10.29187/jscmt.2019.38

Abstract

Autoclaved aerated concrete (AAC) provides advantageous material characteristics such as high thermal
insulation and environmentally friendly properties. Besides its non-structural applications, AAC is being
considered as a structural material due to its characteristics such as lighter weight compared to normal concrete.
In this study, main focus is to test the usability of artificial neural networks (ANNs) in predicting the shear
resistance of reinforced AAC slabs. A large experimental database with 271 data points extracted from eleven
sources is used for ANN training and testing. Network training is accomplished via multi-layer backpropagation
algorithm. Based on random selection, the dataset is partitioned into two portions, 75% for network training and
25% is for testing the validity of the network. Different models with a varying number of hidden neurons are
developed to capture the network with optimum hidden neuron numbers. The results of each model are presented
in terms of correlation coefficient (R
2
) and mean squared error (MSE). Results suggest that the ANN model with
seven hidden neurons is the simplest model with most accurate predictions and ANNs can provide excellent
prediction ability with insignificant error rates.

References

  • 1. A. Thongtha, S. Maneewan, C. Punlek, and Y. Ungkoon, Investigation of the compressive strength, time lags and decrement factors of AAC-lightweight concrete containing sugar sediment waste. Energy and Buildings, 84(2014). 2. X. Qu and X. Zhao, Previous and present investigations on the components, microstructure and main properties of autoclaved aerated concrete–A review. Construction and Building Materials, 135(2017). 3. A. Bonakdar, F. Babbitt, and B. Mobasher, Physical and mechanical characterization of fiberreinforced aerated concrete (FRAC). Cement and Concrete Composites, 38(2013). 4. A. Taghipour, et al., Seismic behavior of reinforced autoclaved aerated concrete wall panels. ce/papers, 2(2018) 4. 5. S. Aroni and B. Cividini, Shear strength of reinforced aerated concrete slabs. Materials and Structures, 22(1989) 6. 6. N. Edgren, Shear tests on Siporex slabs (Newarthill Factory, UK)'. unpublished report (Internationella Siporex AB, Central Laboratory, 1981–82). 7. A. Matsumura, Shear strength and behavior of reinforced autoclaved lightweight cellular concrete members. Trans. Architect. Inst. Jpn, 343(1984). 8. Y. Kanoh, Report of Hebel research'. unpublished report (Meiji University, 1969). 9. Y. Kanoh, Shear strength of the reinforced autoclaved lightweight concrete one-way slabs'. Proceedings of Research Papers of the Faculty of Engineering, Meiji University, (1966) 21. 10. N. Edgren, Shear tests on Siporex slabs (Dalby Factory, Sweden)'. unpublished report (Internationella Siporex AB, Central Laboratory, 1979). 11. B. Cividini, Ispitivanje granicne nosivosti armiranih ploca od plinobetona (Investigation of bearing capacity of reinforced aerated concrete slabs). Proceedings of 17th JUDIMK Congress, Sarajevo, October, (1982). 12. D. Briesemann, Die schubtragfähigkeit bewehrter platten und balken aus dampfgehärtetem gasbeton anch versuchen. (1980). 13. R. Blaschke, Shear load behaviour of AAC reinforced units of high compressive strength (GB 6.6)'. unpublished report (Ytong Research Laboratory, Schrobenhausen, 1988), (1988). 14. N. Edgren, Shear tests on Siporex slabs (Bernon Factory, France)'. unpublished report (Internationella Siporex AB, Central Laboratory, 1979–80). 15. P. Regan, Shear in reinforced aerated concrete. International Journal of Cement Composites and Lightweight Concrete, 1(1979) 2. 16. S. Haykin and N. Network, A comprehensive foundation. Neural networks, 2(2004) 2004. 17. R. Lippmann, An introduction to computing with neural nets. IEEE Assp magazine, 4(1987) 2. 18. J. Zupan and J. Gasteiger, Neural Networks for Chemists - An Introduction, VCH: Weinheim, 1993. 19. G.N. Smith, Probability and statistics in civil engineering. Collins Professional and Technical Books, 244(1986).
Year 2019, Volume: 4 Issue: 2, 344 - 350, 21.10.2019
https://doi.org/10.29187/jscmt.2019.38

Abstract

References

  • 1. A. Thongtha, S. Maneewan, C. Punlek, and Y. Ungkoon, Investigation of the compressive strength, time lags and decrement factors of AAC-lightweight concrete containing sugar sediment waste. Energy and Buildings, 84(2014). 2. X. Qu and X. Zhao, Previous and present investigations on the components, microstructure and main properties of autoclaved aerated concrete–A review. Construction and Building Materials, 135(2017). 3. A. Bonakdar, F. Babbitt, and B. Mobasher, Physical and mechanical characterization of fiberreinforced aerated concrete (FRAC). Cement and Concrete Composites, 38(2013). 4. A. Taghipour, et al., Seismic behavior of reinforced autoclaved aerated concrete wall panels. ce/papers, 2(2018) 4. 5. S. Aroni and B. Cividini, Shear strength of reinforced aerated concrete slabs. Materials and Structures, 22(1989) 6. 6. N. Edgren, Shear tests on Siporex slabs (Newarthill Factory, UK)'. unpublished report (Internationella Siporex AB, Central Laboratory, 1981–82). 7. A. Matsumura, Shear strength and behavior of reinforced autoclaved lightweight cellular concrete members. Trans. Architect. Inst. Jpn, 343(1984). 8. Y. Kanoh, Report of Hebel research'. unpublished report (Meiji University, 1969). 9. Y. Kanoh, Shear strength of the reinforced autoclaved lightweight concrete one-way slabs'. Proceedings of Research Papers of the Faculty of Engineering, Meiji University, (1966) 21. 10. N. Edgren, Shear tests on Siporex slabs (Dalby Factory, Sweden)'. unpublished report (Internationella Siporex AB, Central Laboratory, 1979). 11. B. Cividini, Ispitivanje granicne nosivosti armiranih ploca od plinobetona (Investigation of bearing capacity of reinforced aerated concrete slabs). Proceedings of 17th JUDIMK Congress, Sarajevo, October, (1982). 12. D. Briesemann, Die schubtragfähigkeit bewehrter platten und balken aus dampfgehärtetem gasbeton anch versuchen. (1980). 13. R. Blaschke, Shear load behaviour of AAC reinforced units of high compressive strength (GB 6.6)'. unpublished report (Ytong Research Laboratory, Schrobenhausen, 1988), (1988). 14. N. Edgren, Shear tests on Siporex slabs (Bernon Factory, France)'. unpublished report (Internationella Siporex AB, Central Laboratory, 1979–80). 15. P. Regan, Shear in reinforced aerated concrete. International Journal of Cement Composites and Lightweight Concrete, 1(1979) 2. 16. S. Haykin and N. Network, A comprehensive foundation. Neural networks, 2(2004) 2004. 17. R. Lippmann, An introduction to computing with neural nets. IEEE Assp magazine, 4(1987) 2. 18. J. Zupan and J. Gasteiger, Neural Networks for Chemists - An Introduction, VCH: Weinheim, 1993. 19. G.N. Smith, Probability and statistics in civil engineering. Collins Professional and Technical Books, 244(1986).
There are 1 citations in total.

Details

Primary Language English
Subjects Civil Engineering
Journal Section Research Articles
Authors

Derya Bakbak This is me

Ahmet Emin Kurtoğlu

Publication Date October 21, 2019
Submission Date March 5, 2019
Acceptance Date May 6, 2019
Published in Issue Year 2019 Volume: 4 Issue: 2

Cite

APA Bakbak, D., & Kurtoğlu, A. E. (2019). Shear Resistance of Reinforced Aerated Concrete Slabs: Prediction via Artificial Neural Networks. Journal of Sustainable Construction Materials and Technologies, 4(2), 344-350. https://doi.org/10.29187/jscmt.2019.38

88x31_3.png

Journal of Sustainable Construction Materials and Technologies is open access journal under the CC BY-NC license  (Creative Commons Attribution 4.0 International License)

Based on a work at https://dergipark.org.tr/en/pub/jscmt

E-mail: jscmt@yildiz.edu.tr