Back Analysis of Material Parameters of Concrete Dam Using Genetic Algorithm

Article Preview

Abstract:

The inverse problem of parameter identification is deal with by minimizing an objective function that contains the difference between observed and calculated dam displacements. The optimization problem of minimizing objective function is solved with genetic algorithm. The calculated dam displacements are simulated by using finite element method according to water level change acting on dam upstream. The practical dam displacements are observed on the dam crest. The investigation shows that the forecasted dam displacements agree well with observed ones. The effectiveness of proposed inversion procedure is validated.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1955-1958

Citation:

Online since:

August 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Vilardell, A. Aguado, L. Agullo, R. Gettu, Estimation of the Modulus of Elasticity for Dam Concrete, Cement and Concrete Research, vol. 28, no. 1, pp.93-101, (1998).

DOI: 10.1016/s0008-8846(97)00214-7

Google Scholar

[2] Yuzhen Yu, Bingyin Zhang, Huina Yuan, An Intelligent Displacement Back-analysis Method for Earth-rockfill Dams, Computers and Geotechnics, vol. 34, pp.423-434, (2007).

DOI: 10.1016/j.compgeo.2007.03.002

Google Scholar

[3] Yun Ky Hong, Seung Wook Baek, Inverse Analysis for Estimating the Unsteady Inlet Temperature Distribution for Two-phase Laminar Flow in a Channel, International Journal of Heat and Mass Transfer, vol. 49, pp.1137-1147, (2006).

DOI: 10.1016/j.ijheatmasstransfer.2005.07.051

Google Scholar

[4] C. Rechea, S. Levasseur, R. Finno, Inverse Analysis Techniques for Parameter Identification in Simulation of Excavation Support Systems, Computers and Geotechnics, vol. 35, no. 3, pp.331-345, (2008).

DOI: 10.1016/j.compgeo.2007.08.008

Google Scholar

[5] Chris Wijns, Fabio Boschetti, Louis Moresi, Inverse Modelling in Geology by Interactive Evolutionary Computation, Journal of Structural Geology, vol. 25, no. 10, pp.1615-1621, (2003).

DOI: 10.1016/s0191-8141(03)00010-5

Google Scholar

[6] Gabriella Bolzon, Giulio Maier, Michele Panico, Material Model Calibration by Indentation, Imprint Mapping and Inverse Analysis, International Journal of Solids and Structures, vol. 41 pp.2957-2975 , (2004).

DOI: 10.1016/j.ijsolstr.2004.01.025

Google Scholar