Technical Papers
Dec 2, 2020

Multiple Nonlinear Regression Models for Predicting Deformation Behavior of Concrete-Face Rockfill Dams

Publication: International Journal of Geomechanics
Volume 21, Issue 2

Abstract

Deformation assessment and control are important issues in the construction of concrete face rockfill dams (CFRDs). The design and construction of CFRDs require deformation behavior that can be estimated rapidly to support engineering optimization and safety assessment. This study aims to develop robust empirical prediction models with physical meaning for predicting key indices of CFRD deformation behavior based on in-service case history data. A database of 87 case histories of in-service CFRD constructed over the past 50 years was compiled. A multiple regression method is adopted to develop empirical relationships between three key indices (crest settlement, internal settlement, and face slab deflection) and six dam construction-related control variables (dam height, void ratio, foundation condition, intact rockfill strength, valley shape, and operation time). The internal correlation between the key indices and control variables is discussed. Dam height, intact rockfill strength, and foundation condition are found to be the important factors influencing the three key indices. The developed models are compared with some published methods to discuss model rationality and accuracy. The feasibility and application of the models are further validated considering one case study.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (Grant Nos. 51909215 and 52039008), the Natural Science Basic Research Program of Shaanxi (Program No. 2020JQ-641), China Postdoctoral Science Foundation (Program No. 2020M683527), the Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 19JS047), the Young Talent Fund of University Association for Science and Technology in Shaanxi, China (Program No. 20200417), and the National Natural Science Foundation of China (Grant Nos. 51722907 and 51979224).

Notation

The following symbols are used in this paper:
A, B, C, D, E, F
coefficients in the regression model;
A1
upstream slope face area;
a, b, c, α, β
empirical formula coefficients;
bi
regression coefficient;
D, Hi, d, hi
geometric parameters for rockfill modulus;
E
natural constant;
ej
residual error;
H, CL
dam height and crest length, respectively;
Hr
reference value of dam height;
L
leakage after reservoir filling;
n, k
number of case and control variable, respectively;
R2, Ra2
determination coefficient and adjusted determination coefficient, respectively;
S
conditional standard deviation;
Xi
control variable in the regression model;
Yi
deformation parameter;
yave
mean of dependent variable;
yj, yj¯
observed value and predicted value for the jth-dependent variable, respectively;
γ, γw
density of rockfill and water, respectively;
ɛ
random error;
Λ
bias factor; and
σɛ
standard deviation of random error.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 21Issue 2February 2021

History

Received: Mar 2, 2020
Accepted: Sep 10, 2020
Published online: Dec 2, 2020
Published in print: Feb 1, 2021
Discussion open until: May 2, 2021

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Lecturer, State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, No. 5 South Jinhua Rd., Xi’an 710048, P.R. China (corresponding author). Email: [email protected]
Professor, State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, No. 5 South Jinhua Rd., Xi’an 710048, P.R. China. Email: [email protected]
Junrui Chai [email protected]
Professor, State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, No. 5 South Jinhua Rd., Xi’an 710048, P.R. China. Email: [email protected]

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