Using Simulated Annealing (SA), Evolutionary Algorithm To Determine Optimal Dimensions of Clay Core in Earth Dams
Authors
Abstract:
Earth dam is a structure as homogeneous or non-homogeneous forms for raising water level or water supply. Earth dam consist of different parts that one of the main parts is clay core. Choosing an optimal non permeable core which causes reduction of seepage through dam body and also being stable is necessary. The objective of this research is to optimize the geometry of earth dam clay core such that, beside of reduction of seepage through dam body, the volume of core material is minimized. For access of this objective a consolidated model consist of a simple model which obtained by linear regression and SA algorithm were used, to optimize the Birjand Hesar Sangi dam. Optimal parameters such as seepage through dam body, hydraulic gradient and safety factor of stability access from model compared by the values access from the direct run of the software modeling that show a good agreement. Also the result of access by modeling have been compared by actual dimensions of Birjand Hesar Sangi dam, that cause reduction of material volume for construction core dam and shell dam about 21 and 8 percent, respectively. Result show that the consolidated model has successful operations and a general optimal plan design of clay core dimensions in stable condition can be achieved.
similar resources
using simulated annealing (sa), evolutionary algorithm to determine optimal dimensions of clay core in earth dams
earth dam is a structure as homogeneous or non-homogeneous forms for raising water level or water supply. earth dam consist of different parts that one of the main parts is clay core. choosing an optimal non permeable core which causes reduction of seepage through dam body and also being stable is necessary. the objective of this research is to optimize the geometry of earth dam clay core such ...
full textDetermine Optimal Coefficients of IIR Digital Filters using Simulated Annealing
This paper determines coefficients of infinite-impulse response (IIR) using Simulated Annealing (SA). IIR filter is essentially a digital filter with Recursive responses. Since the error surface of digital IIR filters is generally nonlinear and multimodal, global optimization techniques are required in order to avoid local minima. In this paper heuristic way for the designing IIR filters is pre...
full textOPTIMAL SIZE AND PLACEMENT OF DVR's IN DISTRIBUTION SYSTEM USING SIMULATED ANNEALING (SA)
For the optimal size and placement of the dynamic voltage restorer (DVR) in a distribution network, in this paper the Simulated Annealing (SA) method is proposed. The multi-objective problem is converted to a single function using the goal attainment method. The obtained results show the voltage sag improvement on sensitive load nodes and other nodes in distribution system with minimum cost.
full textInvestigate the Applicability of Gray Wolf Optimization Algorithm in Determining the Optimal Dimensions of Concrete Dams
Acquiring optimal dimensions of concrete dams by reducing the cross section will reduce the volume of concrete used and consequently reduce construction costs. Due to multiplicity of constraints which leads to complexity of the decision space, meta-heuristic optimization algorithms have been increasingly used in optimal design of gravity dams. In this study, performance of Grey Wolf Optimizer w...
full textMy Resources
Journal title
volume 1 issue 4
pages 382- 397
publication date 2013-04-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023