Abstract
A new combined method for the inverse modelling of leakage from the body and foundation of earth dams considering a transient flow model is introduced in this paper. Reaching a unique result, an objective function that simultaneously employs the time series of hydraulic heads and observations of flow rates has been defined. An inclusive finite-element model that considers all the construction stages of an earth dam has been created and then orthogonal design, back-propagation artificial neural networks and a genetic algorithm have been used to do inverse modelling. The proposed method has been employed for the inverse modelling of leakage in Baft dam in Kerman, Iran. Hydraulic conductivities of different parts of the dam have been investigated for two distinct predefined cases, and in both cases satisfactory results have been obtained. The fitting results show the applicability of the suggested method in inverse modelling of real large-scale problems, which not only decreases the computation cost but also increases reliability and efficiency in such problems.
Highlights
The permeability of deposits below a dam or in its body is one of the most important factors in the design of earth dams and affects the dam location and design of its water-sealing system
The main objective of this paper is to develop a new combinatory method for the inverse problem to find hydraulic conductivities in the problem of water leakage in dams, which takes the advantages of artificial neural networks (ANNs), genetic algorithm (GA) and orthogonal design (OD)
Thereafter for each combination Ki in the space K, that is determined by the OD method, the simulated problem has been performed once and the results obtained from these analyses are used to train an ANN so that the response values can be obtained at each point for any desired permeability state
Summary
Civil Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran (Orcid:0000-0002-8923-246X). A new combined method for the inverse modelling of leakage from the body and foundation of earth dams considering a transient flow model is introduced in this paper. An objective function that simultaneously employs the time series of hydraulic heads and observations of flow rates has been defined. An inclusive finite-element model that considers all the construction stages of an earth dam has been created and orthogonal design, back-propagation artificial neural networks and a genetic algorithm have been used to do inverse modelling. The proposed method has been employed for the inverse modelling of leakage in Baft dam in Kerman, Iran. The fitting results show the applicability of the suggested method in inverse modelling of real large-scale problems, which decreases the computation cost and increases reliability and efficiency in such problems
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