Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Inverse analysis is necessary for concrete dams in normal operation to overcome the discrepancy between the true mechanical parameters and test results.
In view of the uncertain characteristics of concrete dams, a stochastic inverse model is proposed in this study to solve the undetermined mechanical parameters with sequential and spatial randomness using measured displacement data and Bayesian back analysis theory.
An inversion method for the mechanical parameters of concrete dams is proposed.
Fast Fourier transform algorithm is introduced to generate random fields for SFEM analysis.
The case study shows that the proposed inversion method can reflect the random characteristics of concrete dams, the mechanical parameters obtained are reasonable, and the inverse model is feasible.
American Psychological Association (APA)
Gu, Chongshi& Cao, Xin& Xu, Bo. 2019. Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1116592
Modern Language Association (MLA)
Gu, Chongshi…[et al.]. Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory. Advances in Civil Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1116592
American Medical Association (AMA)
Gu, Chongshi& Cao, Xin& Xu, Bo. Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1116592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116592