Evolutionary Polynomial Regression-Based Models to Estimate Stability of Gravity Hunched Back Quay Walls

Document Type : Research Article

Authors

1 School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

2 Faculty of Engineering, University of Guilan, Rasht, Iran

Abstract

This paper presents a new approach, based on Evolutionary Polynomial Regression (EPR), for predicting the safety factors of a quay wall against sliding, overturning and bearing capacity failure as functions of the soil’s shear strength parameters, geometry of the wall and loading conditions. To this end, a database of around 80000 data sets was created based on a conceptual model, employing a MATLAB-aided program. Based on input and output values of this database and employing EPR, three different models for the estimation of safety factors were developed and their results were compared with the values in the database. Investigation into the performance of the developed models indicates that these models are capable of estimating the stability of quay walls with a precision of around 95%. Parametric analyses were performed on the models to identify parameters with a key role in the stability of quay walls. The parametric studies were indicative of the models’ ability in capturing the effects of individual parameters on the wall safety factors, therefore proving the models helpful as tools in the preliminary design of gravity quay walls.

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References

[1] PIANC, Seismic Design Guidelines for Port Structures, Balkema, 2001.
[2] A. Sadrekarimi, A. Ghalandarzadeh, J. Sadrekarimi, Static and dynamic behavior of hunchbacked gravity quay walls, Soil Dynamics and Earthquake Engineering, 28(2) (2008) 99-117.
[3] A. Sadrekarimi, Seismic displacement of broken-back gravity quay walls, Journal of Waterway, Port, Coastal, and Ocean Engineering, 137(2) (2011) 75-84.
[4] A. Sadrekarimi, Pseudo-static lateral earth pressures on broken-back retaining walls, Canadian Geotechnical Journal, 47(11) (2010) 1247-1258.
[5] A. Sadrekarimi, Gravity Retaining Walls: Reinvented, in: 6th International Conference on Earthquake Geotechnical Engineering, Christchurch, New Zealand, 2015.
[6] T.O.C.A.D.I.o.J. (OCDI), Technical Standards and Commentaries for Port and Harbour Facilities in Japan, OCDI, 2002.
[7] S. Okabe, General Theory of Earth Pressure and Seismic Stability of Retaining Wall and Dam, Journal of the Japanese Society of Civil Engineers, 10(5) (1924) 1277–1323.
[8] N. Mononobe, H. Matsuo, On the determination of earth pressures during earthquakes, in: World Engineering Congress, Tokyo, 1929.
[9] M. Ichihara, H. Matsuzawa, Earth pressure during earthquake, Soils and Foundations, 13(4) (1973) 75-86.
[10] H.M. Westergaard, Water pressures on dams during earthquakes, Transactions of the American Society of Civil Engineers, 95 (1933) 418-433.
[11] O. Giustolisi, D.A. Savic, A symbolic data-driven technique based on evolutionary polynomial regression, Journal of Hydroinformatics, 8(3) (2006) 207-222.
[12] A. Ahangar-Asr, A. Faramarzi, N. Mottaghifard, A.A. Javadi, Modeling of Permeability and Compaction Characteristics of Soils Using Evolutionary Polynomial Regression, Computers and Geosciences, 37(11) (2011) 1860-1869.
[13] M. Rezania, A.A. Javadi, O. Giustolisi, An evolutionary-based data mining technique for assessment of civil engineering systems, Engineering Computations, 25(6) (2008) 500-517.
AUT Journal of Civil Engineering
Volume 2, Issue 1
June 2018
Pages 79-86

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