Numerical simulation of combined vacuum loading soft foundation treatment considering time effect and well resistance effect
- DOI
- 10.2991/978-94-6463-404-4_19How to use a DOI?
- Keywords
- Soft base reinforcement; vacuum-stacking combined preloading; Numerical simulation
- Abstract
Since the existing numerical simulation calculation methods of vacuum stacking combined with precompression soft base treatment are mostly applied according to the vacuum degree unchanged or linearly decreasing along the depth, in fact, with the passage of time, due to the cracking of the surrounding soil, the vacuum degree will also show an overall downward trend over time. In this paper, the MIDAS GTS finite element software is used to consider the influence of well resistance effect and time effect on vacuum, and the numerical simulation and comparison study of vacuum combined with stacked soft base treatment are carried out, and the results show that the loss of vacuum degree due to depth and time will have a certain impact on the final soft base treatment effect.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xionghui Zhang AU - Jianfeng Peng AU - Xiaofu Huang AU - Guanghui Lin AU - Fagui Liu PY - 2024 DA - 2024/04/29 TI - Numerical simulation of combined vacuum loading soft foundation treatment considering time effect and well resistance effect BT - Proceedings of the 2024 3rd International Conference on Structural Seismic Resistance, Monitoring and Detection (SSRMD 2024) PB - Atlantis Press SP - 183 EP - 195 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-404-4_19 DO - 10.2991/978-94-6463-404-4_19 ID - Zhang2024 ER -