Uncertainty Analysis and Application of Construction Diversion Tunnel Discharge Capacity
- DOI
- 10.2991/meic-14.2014.84How to use a DOI?
- Keywords
- discharge capacity; reliability; Uncertainty; diversion tunnel; Monte-Carlo simulation method
- Abstract
For the construction of the diversion tunnel discharge capacity problem, the difference of the starting point between the theory of uncertainty and the traditional deterministic theory is analyzed. The discharge capacity is affected by a comprehensive variety of factors, including the cross section area, roughness, wetted perimeter, Chézy coefficient and many other factors, and thus discharge capacity is multiple functions of these random variables. On the basis of the actual in-depth research and getting a lot of information, reasonable statistical analysis and properly determination of the distribution of various types of random variables are made. Establishing a reasonable probability density function and performance function, using Monte-Carlo method to simulate, the more objective and real discharge capacity reliability of the construction of the diversion tunnel can be accessed. Combined with practical engineering examples under the actual monitoring data for comparison, the results are objective and reasonable. The research results can provides a certain degree of programming reference for the same type for the future diversion project of the the same river basin.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Changhong Wang AU - Zhaoli Wang PY - 2014/11 DA - 2014/11 TI - Uncertainty Analysis and Application of Construction Diversion Tunnel Discharge Capacity BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 375 EP - 379 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.84 DO - 10.2991/meic-14.2014.84 ID - Wang2014/11 ER -