| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 03047 | |
| Number of page(s) | 4 | |
| Section | Geology, Mapping, and Remote Sensing | |
| DOI | https://doi.org/10.1051/e3sconf/202016503047 | |
| Published online | 01 May 2020 | |
Improving pre-drilling efficiency by analysing geological prospecting data: a case study of a project in Nanshan, Shenzhen
1 KWG Group Holdings, Shenzhen Company, Guangdong, China
2 Tianjin Chengjian University, Department of Civil Engineering, Tianjin, China
3 Shenzhen Boyuda Building Technology Ltd., Guangdong, China
* Corresponding author: tianyu_chen@outlook.com
Pre-drilling is a widely used technique to get the detailed geological condition at the location of the bored pile foundation prior to its construction. It is often a necessary step for bored piles supported by strata, as its results are helpful for finalizing the pile length in design stage, which often requires the pile to be embedded into the rock strata at certain depth. The aim of the paper is to find the optimal (normally the lowest) point of rock strata at the purposed pile location, so that the optimal length required for the pile can be determined. To achieve this, geological prospecting data of the site needs to be analysed and the optimal pre-drilling point needs to be determined. The model developed by this study is based on the geological prospecting data and the pre-drilling results of a real project with a sharp slope of strata. It is found that by using the method introduced in this study, higher accuracy results could be obtained with less pre-drilling works required, hence the time and the cost of pre-drilling can be greatly reduced.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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