The Research on Support and Reinforcement of Deep Foundation Pit
- DOI
- 10.2991/meici-16.2016.138How to use a DOI?
- Keywords
- Deep foundation pit; Support; Reinforcement; Optimizing
- Abstract
The deep foundation pit engineering is a complex system engineering. the supporting structure must be safe and reliable and the costs must be economical and practical in its design process. For coordinating the relationship between them, the optimization design of deep foundation pit supporting engineering is born. As the optimization of deep foundation pit supporting engineering has many difficulties, such as (1) continuous variables and discrete variables coexist in the design variables, variables are numerous, variable combination are large; (2) as the optimization goal and design variables are complex, each design variable on the sensitivity of the optimization goal is not consistent, set up reasonable explicit expression is more each design variable on the sensitivity of the optimization goal is not consistent, establish reasonable explicit expression is difficult, so the traditional optimization algorithm in the face of complex optimization problem of deep foundation pits are often powerless, therefore, to find a reasonable and feasible optimization algorithm is the key. This paper analyzes the reason of foundation pit supporting instability, optimizes the supporting design and puts forward the proposals of corresponding reinforcement.
- 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 - Liqin Ai PY - 2016/09 DA - 2016/09 TI - The Research on Support and Reinforcement of Deep Foundation Pit BT - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016) PB - Atlantis Press SP - 661 EP - 665 SN - 1951-6851 UR - https://doi.org/10.2991/meici-16.2016.138 DO - 10.2991/meici-16.2016.138 ID - Ai2016/09 ER -