Uncertainty Analysis of the Effect of Modulus of Elasticity on Seismic Performance of Concrete Quay Wall

Document Type : Research

Authors

1 M.Sc. graduate of Civil Engineering-Hydraulic Structures, Faculty of engineering, University of Mohaghegh Ardabili , Ardabil, Iran.

2 Associate Professor, Faculty of engineering, University of Mohaghegh Ardabili , Ardabil, Iran.

3 Assistant Professor, Faculty of engineering, University of Mohaghegh Ardabili , Ardabil, Iran.

Abstract

This paper investigated the sensitivity of the seismic performance of quay wall system to changes in the modulus of elasticity of the body concrete Monte Carlo probabilistic analysis, which is a new method for parametric study and sensitivity analysis. Monte Carlo method presents an appropriate solution to consider a specified range for various parameters effective in analyzing. The ANSYS software which is based on finite element method is applied for analysis considering fluid-structure interaction effect. In the uncertainty analysis, modulus of elasticity of the quay wall body concrete is a parameter indicating the stiffness and strength of body in design of concrete structures and has been selected as input variable parameter. Additionally, the maximum displacement of the crest and the maximum tensile principal stress in critical point of the body has been selected as output variables. The model is analyzed in time domain by applying the horizontal and vertical components of El Centro earthquake. Finally, the effect of the modulus of elasticity on the maximum responses at each stage is shown as sensitivity curves. According to the results, an optimal value is obtained for the modulus of elasticity of quay wall concrete to ensure system safety.

Keywords

References

1. Madabhushi, S.P.G. and Zeng, X., Seismic response of gravity quay-walls, II: Numerical modeling, Journal of Geotechnical and Geo environmental Engineering, ASCE, 124 (5), (1998), 418-427. [DOI:10.1061/(ASCE)1090-0241(1998)124:5(418)]
2. Kuwano, J., Takahashi, A., Hiro-oka, A. and Yamauchi, K., Shaking table tests on caisson type quay-wall in centrifuge, 2nd International Conference on Earthquake Geotechnical Engineering, Lisboa, Portugal, (1), 365-370, (1999).
3. Chen, B.F., (1995), The significance of earthquake-induced dynamic forces in coastal structure design, Ocean engineering, 22(4), 301-315. [DOI:10.1016/0029-8018(94)00020-8]
4. Lee, C.J, Dobry, R., Abdoun, T. and Wu, B.R., Lateral spreading behind a caisson type quay wall during earthquake, In: 7th US-Japan Workshop on Earthquake Resistant Design of Lifeline Facilities and Countermeasures Against Liquefaction, Seattle, (1999).
5. Gharabaghi, A., Ghalandarzadeh, A., Arablouei, A. and Abedi, K., The Dynamic Response of Gravity Quay-Wall During Earthquake Including Soil-Sea-Structure Interaction, 25 th International Conference on Offshore Mechanics, (2006). [DOI:10.1115/OMAE2006-92313]
6. Ghobarah, A., (2001), Performance-based design in earthquake engineering: state of development, Engineering Structures, (23), 878-884. [DOI:10.1016/S0141-0296(01)00036-0]
7. Dolsek, M., (2009), Incremental dynamic analysis with consideration of modeling uncertainties, Earthquake Engineering and Structural Dynamics, (38), 805-825. [DOI:10.1002/eqe.869]
8. Hwang, H. and Jaw, J., (1990), Probabilistic damage analysis of structures, ASCE Journal of Structural Engineering, 116. [DOI:10.1061/(ASCE)0733-9445(1990)116:7(1992)]
9. USACE, Gravity dam design, United States Army Corps of Engineers, Engineering Manual, 1110 (2), 1995.
10. Rubinstein, R.Y., Simulation and the Monte Carlo Method. John Wiley and Sons: New York, 1981. [DOI:10.1002/9780470316511]
11. Carvajal, C., Peyras, L., Bacconnet, J. and Becue, P., (2009), Probability modeling of shear strength parameters of RCC gravity dams for reliability analysis of structural safety, European Journal of Environmental and Civil Engineering, (13), 91-119. [DOI:10.1080/19648189.2009.9693087]
12. Altarejos, G.L, Escuder, B.I. and Serrano, A., Estimation of the probability of failure of a gravity dam for the sliding failure mode, 11th ICOLD Benchmark Workshop on Numerical Analysis of Dams, (1), (2011).
13. Calabrese, A. and Lai, C.G., (2016), Sensitivity analysis of the seismic response of gravity quay walls to perturbations of input parameters, Soil Dynamics and Earthquake Engineering, (82), 55-62. [DOI:10.1016/j.soildyn.2015.11.010]
14. Pasbani Khiavi, M., (2017), Investigation of seismic performance of concrete gravity dams using probabilistic analysis, Journal of Croatian Association of Civil Engineers, 69 (1), 21-29. [DOI:10.14256/JCE.1454.2015]
15. Pasbani Khiavi M., Ghorbani M.A. and Kouchaki, (2020), Evaluation of the effect of reservoir length on seismic behavior of concrete gravity dams using Monte Carlo method, Numerical methods in civil engineering journal, 5(1), 1-7. [DOI:10.52547/nmce.5.1.1]
16. Antes, H. and Von Estorff, O., (1987), Analysis of absorption effects on the dynamic response of dam reservoir system by BEM, Earthquake engineering and structural dynamics, (15), 1023-1036. [DOI:10.1002/eqe.4290150808]
17. Schutter, G.D. and Vuylsteke, M., (2004), Minimization of early age thermal cracking in a J-shaped non-reinforced massive concrete quay wall, Engineering Structures, (26), 801-808. [DOI:10.1016/j.engstruct.2004.01.013]
18. Pasbani Khiavi M. and Kouchaki, M., (2016), Investigation of the effect of modulus of elasticity on seismic performance of quay walls considering interaction effects, Journal of Multidisciplinary Engineering Science Studies, 2 (4).
19. Risk Assessment Forum U.S., Guiding Principles for Monte Carlo Analysis, Environmental Protection Agency Washington, DC 20460, 1997.
20. Raphael, J.M., (1984), Tensile strength of concrete, ACI Journal, 81-17, 158-165. [DOI:10.14359/10653]
21. Cannon R.W, (1991), Tensile strength of roller compacted concrete, U.S. Army Corps of Engineers, North Paciļ¬c.
Numerical Methods in Civil Engineering
Volume 6, Issue 1
September 2021
Pages 77-84

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History

  • Receive Date: 05 June 2021
  • Revise Date: 30 July 2021
  • Accept Date: 12 September 2021

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