The application of sensitivity analysis in hydropower based on grey theory
- DOI
- 10.2991/iccahe-16.2016.66How to use a DOI?
- Keywords
- cavern stability; grey relation analysis; numerical analysis; sensitivity analysis; plastic zone
- Abstract
Since the complexity of the structure of rock itself and the current test conditions is relatively simple, combined with uneven quality of test personnel, rock mass mechanics parameters are necessarily inconsistent with the actual situation. Based on grey relation analysis of parameters sensitivity of cavern stability, you can analyze the influence degree of the relative variation of rock mass mechanics parameters on the cavern stability. Taking Dagangshan hydropower Station as an example, considering the rock mechanics parameters elastic modulus, poisson's ratio, cohesion, angle of internal friction disturbance, using sensitivity analysis method for determining a main building around Dagangshan hydropower plastic zone biggest impact is cohesion, angle of internal friction, followed by elastic modulus, poisson's ratio. This provides a theory foundation for the future test staff should pay more attention to rock mass's cohesion, angle of internal friction in acquiring rock mechanics parameters, ensuring the rock mass's accurate cohesion, angle of internal friction, thus indirectly ensure the stability of underground engineering.
- Copyright
- © 2016, 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 - C. Li AU - W.S Zhu AU - B.X Li AU - X. Xu AU - D.F. Zhang PY - 2016/10 DA - 2016/10 TI - The application of sensitivity analysis in hydropower based on grey theory BT - Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016) PB - Atlantis Press SP - 370 EP - 377 SN - 2352-5401 UR - https://doi.org/10.2991/iccahe-16.2016.66 DO - 10.2991/iccahe-16.2016.66 ID - Li2016/10 ER -