Inverse Analysis of the Partitioning Deformation Modulusof High-Arch Dams Based on Quantum Genetic Algorithm
Joint Authors
Wang, Jimin
Zhao, Erfeng
Zhu, Yantao
Niu, Xinqiang
Gu, Chongshi
Huang, Lixian
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The physical and mechanical parameters of hydraulic structures in complicated operating conditions often change over time.
Updating these parameters in a timely manner is important to comprehend the operating behaviors and monitor the safety of hydraulic structures.
Conventional inverse analysis methods can only generate inversions on the comprehensive deformation modulus of concrete dam structures, which contradict practical conditions.
Based on the researches on conventional reversion methods of the deformation modulus of the dam body, foundation, and reservoir basin, the objective fitness function is established in this paper according to engineering-measured data and finite element simulation results.
The quantum genetic algorithm has high global search efficiency and population diversity.
A mechanical parameter inversion of high-arch dams is built from the intelligent optimization of an established algorithm by applying the quantum genetic algorithm.
The proposed algorithm is tested to be feasible and valid for practical engineering projects and therefore shows scientific and practical application values.
American Psychological Association (APA)
Zhu, Yantao& Niu, Xinqiang& Wang, Jimin& Gu, Chongshi& Zhao, Erfeng& Huang, Lixian. 2020. Inverse Analysis of the Partitioning Deformation Modulusof High-Arch Dams Based on Quantum Genetic Algorithm. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1125990
Modern Language Association (MLA)
Zhu, Yantao…[et al.]. Inverse Analysis of the Partitioning Deformation Modulusof High-Arch Dams Based on Quantum Genetic Algorithm. Advances in Civil Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1125990
American Medical Association (AMA)
Zhu, Yantao& Niu, Xinqiang& Wang, Jimin& Gu, Chongshi& Zhao, Erfeng& Huang, Lixian. Inverse Analysis of the Partitioning Deformation Modulusof High-Arch Dams Based on Quantum Genetic Algorithm. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1125990
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125990