Predicting the Function of the Dissolution Rate with Depth Using Drilling Data from Shallow Strata at Karst Sites

Author:

Xie Xiaolan1,Li Hailing1,Sun Gangchen2,Cao Xianfa2

Affiliation:

1. College of Earth Sciences, Guilin University of Technology, Guilin 541004, China

2. School of Civil and Architectural Engineering, Guilin University of Technology, Guilin 541004, China

Abstract

The degree of dissolution in building foundations has been proven to be an exponentially decaying function of depth, which can be characterized by the dissolution rate depth distribution function obtained from survey drilling data. If the dissolution rate depth distribution function can be predicted using shallow drilling data, it would reduce the workload and cost of surveying, and have positive engineering significance. In this study, in the context of the Liuzhou Style Harbor project in Liuzhou City, the dissolution rate depth distribution prediction curve was obtained using drilling data above elevations H30, H40, and H50 (corresponding to dissolution rates of 30%, 40%, and 50%, respectively). The prediction accuracy of the curve was thoroughly analyzed in terms of curve deviation and parameters of the intensive dissolution layer. The conclusion has also been verified by more engineering practices. The results showed that the predicted dissolution rate depth distribution function curve obtained from survey data above elevation H30 was very close to the actual curve, and sometimes matched it. The dissolution rate deviation within the range of the intensive dissolution layer was generally less than 10%, and the deviation in the boundary elevation of the intensive dissolution layer was generally less than 1.0 m. The predicted function was highly reliable, and the prediction deviation met the requirements of engineering practice. Therefore, it is recommended that elevation H30 be used as one of the controlling conditions for the depth of survey drilling in karst building foundation investigations. These research findings can provide a basis for optimizing a karst foundation investigation plan.

Funder

Guangxi Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference31 articles.

1. Dissolution degree distribution law with depth in building ground in karst terrain;Cao;J. Cent. South Univ.,2014

2. Quantitative Analysis Method For Dissolution Degree Distribution Feature With Elevation;Cao;J. Cent. South Univ.,2014

3. Analysis on rock probability of embedment pile into rock mass for pile group at building sites in karst terrain;Cao;Model. Meas. Control. B,2017

4. An analysis of the average entering-rock height of grouped piles at building sites in a karst terrain;Cao;Hydrogeol. Eng. Geol.,2019

5. Division of an intensive dissolution layer for building foundation in a karst terrain;Cao;Hydrogeol. Eng. Geol.,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3