CLC number: TV5
On-line Access: 2018-07-04
Received: 2017-07-18
Revision Accepted: 2017-10-09
Crosschecked: 2018-06-06
Cited: 0
Clicked: 4626
Tao Guan, Deng-hua Zhong, Bing-yu Ren, Wen-shuai Song, Zhi-qiang Chu. Construction simulation of high arch dams based on fuzzy Bayesian updating algorithm[J]. Journal of Zhejiang University Science A, 2018, 19(7): 505-520.
@article{title="Construction simulation of high arch dams based on fuzzy Bayesian updating algorithm",
author="Tao Guan, Deng-hua Zhong, Bing-yu Ren, Wen-shuai Song, Zhi-qiang Chu",
journal="Journal of Zhejiang University Science A",
volume="19",
number="7",
pages="505-520",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1700372"
}
%0 Journal Article
%T Construction simulation of high arch dams based on fuzzy Bayesian updating algorithm
%A Tao Guan
%A Deng-hua Zhong
%A Bing-yu Ren
%A Wen-shuai Song
%A Zhi-qiang Chu
%J Journal of Zhejiang University SCIENCE A
%V 19
%N 7
%P 505-520
%@ 1673-565X
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1700372
TY - JOUR
T1 - Construction simulation of high arch dams based on fuzzy Bayesian updating algorithm
A1 - Tao Guan
A1 - Deng-hua Zhong
A1 - Bing-yu Ren
A1 - Wen-shuai Song
A1 - Zhi-qiang Chu
J0 - Journal of Zhejiang University Science A
VL - 19
IS - 7
SP - 505
EP - 520
%@ 1673-565X
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1700372
Abstract: construction simulation is an effective tool to provide schedule plans for construction schedule management. The simulation parameter is the foundation of construction simulation for high arch dams. However, the updating construction simulation parameters of the commonly used Bayesian algorithm are constant and inconsistent with the construction process. Due to the lack of construction data, the construction data are not sufficient for the bayesian updating algorithm. Thus, the construction simulation of high arch dams based on fuzzy bayesian updating algorithm is proposed. The construction parameters for a dynamic site construction situation are collected, and the original data are fuzzed by fuzzy set theory to provide the foundation for a variety of simulation parameters during the simulation process. Moreover, with the bayesian updating algorithm, the fuzzed simulation parameters are updated and obtained via the selection of the membership degree. Finally, the construction simulation of high arch dams is conducted based on the updated simulation parameters. A case study shows that the updated simulation parameters are more in accordance with the construction parameters in situ than the original parameters, which can provide a foundation for the change of simulation parameters during the simulation process, and the simulation results are agreed with the actual construction situation.
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