Computers and Concrete

  • 제13권4호
  • /
  • Pages.547-567
  • /
  • 2014
  • /
  • 1598-8198(pISSN)
  • /
  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN

  • Abdalla, Jamal A. (Department of Civil Engineering, American University of Sharjah) ;
  • Saqan, Elias I. (Department of Civil Engineering, American University in Dubai) ;
  • Hawileh, Rami A. (Department of Civil Engineering, American University of Sharjah)
  • 투고 : 2013.08.05
  • 심사 : 2014.01.14
  • 발행 : 2014.05.30
⟨ 이전 논문 다음 논문 ⟩

초록

Precast Seismic Structural Systems (PRESSS) provided an iterative procedure for obtaining optimum design of unbonded post-tensioned coupled precast concrete wall systems. Although PRESSS procedure is effective, however, it is lengthy and laborious. The purpose of this research is to employ Artificial Neural Network (ANN) to predict the optimum design parameters for such wall systems while avoiding the demanding iterative process. The developed ANN model is very accurate in predicting the nondimensional optimum design parameters related to post-tensioning reinforcement area, yield force of shear connectors and ratio of moment resisted by shear connectors to the design moment. The Mean Absolute Percent Error (MAPE) for the test data for these design parameters is around %1 and the correlation coefficient is almost equal to 1.0. The developed ANN model is then used to study the effect of different design parameters on wall behavior. It is observed that the design moment and the concrete strength have the most influence on the wall behavior as compared to other parameters. Several design examples were presented to demonstrate the accuracy and effectiveness of the ANN model.

키워드

참고문헌

  1. Abdalla, J.A. and Hawileh, R.A. (2013), Artificial neural network predictions of fatigue life of steel bars based on hysteretic energy, In press, Journal of Computing in Civil Engineering.
  2. Abdalla, J.A., Elsanosi, A. and Abdelwahab, A. (2007), Modeling and simulation of shear resistance of R/C beams using artificial neural network, J. Franklin Inst., 344(5), 741-756. https://doi.org/10.1016/j.jfranklin.2005.12.005
  3. Aaleti, S. and Sritharan, S. (2009), A simplified analysis method for characterizing unbonded post-tensioned precast wall systems, Eng. Struct., 31, 2966-2975. https://doi.org/10.1016/j.engstruct.2009.07.024
  4. American Concrete Institute (ACI) Innovation Task Group 5. (2009), Requirements for design of a special unbonded post-tensioned precast shear wall satisfying ACI ITG-5.1 (ACI ITG-5.2-09) and Commentary. ACI ITG-5.2-09, Farmington Hills (MI).
  5. Bhunia, D., Prakash, V. and Pandey, A.D. (2012), "A study on the behaviour of coupled shear walls", Struct. Eng. Mech., 42(5).
  6. Ghosh, S.K. and Hawkins, N.M. (2003), "Codification of PRESSS structural systems", PCI J., 48(4), 140-143. https://doi.org/10.15554/pcij.07012003.140.143
  7. Hawkins, N.M. and Ghosh, S.K. (2004), "Acceptance criteria for special precast concrete structural walls based on validation testing", PCI J., 49(5), 78-92.
  8. Hawileh, R.A., Saqan, E.I. and Abdalla, J.A. (2013), "Simplified optimum design procedure for special unbonded post-tensioned split precast shear walls. Technical Note", ASCE J. Struct. Eng., 139(2), 294-299. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000631
  9. Hawileh, R.A., Tabatabai, H., Rahman, A. and Amro, A. (2006), "Non-dimensional design procedures for precast, prestressed concrete hybrid frames", PCI J., 51(5), 110-130. https://doi.org/10.15554/pcij.09012006.110.130
  10. Nakaki, S.D., Stanton, J.F. and Sritharan, S. (1999), "An overview of the PRESSS five-story precast test building", PCI J., 44(2), 26-39.
  11. Pendharkar, U., Chaudhary, S. and Nagpal, A.K. (2011), "Prediction of moments in composite frames considering cracking and time effects using Neural Network models", Struct. Eng. Mech., 39(2), 267-285. https://doi.org/10.12989/sem.2011.39.2.267
  12. Priestley, M.J.N. (2002), "Direct displacement based design of precast prestressed concrete buildings", PCI J., 47(6), 66-79. https://doi.org/10.15554/pcij.11012002.66.79
  13. Priestley, M.J.N. (1996), "The PRESSS program - Current status and proposed plans for phase III", PCI J., 41(2), 22-40. https://doi.org/10.15554/pcij.03011996.22.40
  14. Priestley, M.J.N. (1991), "Overview of the PRESSS research program", PCI J., 36(4), 50-57. https://doi.org/10.15554/pcij.07011991.50.57
  15. Priestley, M.J.N., Sritharan, S., Conley J.R. and Pampanin, S. (1999), "Preliminary Results and Conclusions from the PRESSS Five-Story Precast Concrete Test Building", PCI J., 44(6), 42-67. https://doi.org/10.15554/pcij.11011999.42.67
  16. Saqan, E.I. and Hawileh, R.A. (2010), Non-dimensional design charts for unbonded post-tensioned split precast concrete walls, PCI J., 55(4), 78-99. https://doi.org/10.15554/pcij.09012010.78.99
  17. Sritharan, S. and Aaleti, S. (2006), Seismic Design of Jointed Precast Concrete Wall Systems. The 4th International Conference on Earthquake Engineering, Paper No. 268, Taipei, Taiwan.
  18. Stanton, J.F. and Nakaki, S.D. (2002), Design Guidelines for Precast Concrete Seismic Structural Systems, PRESSS report No. 01/03-09, PCI, Chicago, IL, and University of Washington report Number SM 02-02, Seattle, WA.
  19. Zhou, G., Pan, D., Xu, X. and Rafiq, Y.M. (2010), "Innovative ANN technique for predicting failure/cracking load of masonry wall panel under lateral load", J. Comput. Civil Eng., 24(4), 377-387. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000040

피인용 문헌

  1. Modified regression and ANN model for load carrying capacity of corroded reinforced concrete beam vol.4, pp.5, 2017, https://doi.org/10.3934/matersci.2017.5.1140
  2. Ductility Calculation of Prefabricated Shear Wall with Rabbet-Unbond Horizontal Connection vol.2018, pp.1687-8094, 2018, https://doi.org/10.1155/2018/5197125
  3. Optimum design for unbonded posttensioned precast split shear wall system using genetic algorithm pp.15417794, 2019, https://doi.org/10.1002/tal.1582
  4. Analytical investigation on lateral load responses of self-centering walls with distributed vertical dampers vol.72, pp.3, 2014, https://doi.org/10.12989/sem.2019.72.3.355