Proceedings of the 2024 8th International Conference on Civil Architecture and Structural Engineering (ICCASE 2024)

Analysis of Collapsibility of Loess and Correlation Between its Indexes

Authors
Hongxiang Yan1, Jianxun Ma1, *, Jianhui Niu2, Zhixun Xie2, Qize Wang2, Wuwei Zhu3, Xiao Yang3
1School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, China
2Joint Research Center for Future Urban Construction and Management Innovation, Shaanxi Construction Engineering Holding Group Future City Innovation Technology Co., Ltd., Xi’an, China
3Shaanxi Academy of Building Science Co. LTD, Xi’an, China
*Corresponding author. Email: majx@xjtu.edu.cn
Corresponding Author
Jianxun Ma
Available Online 30 June 2024.
DOI
10.2991/978-94-6463-449-5_18How to use a DOI?
Keywords
Collapsible loess; correlation; collapsibility coefficient; physical property index; hydraulic property index; mechanical property index regression analysis
Abstract

The Guanzhong Plain city group is located in the centre of inland China, which is an important fulcrum of the Asia-Europe Continental Bridge, and also the second largest urban agglomeration in the western region of China. However, the large thickness collapsible loess has always been a pain point in the process of urban development. In this paper, for the problem of collapsible loess in Guanzhong area, five typical geomorphological units in Xi’an, Xianyang, Tongchuan and Sanmenxia are targeted for sampling. Through a large number of indoor and outdoor experiments, the relevant data of physical properties, hydrophysical properties, mechanical properties, collapsible index of collapsible loess and the distribution pattern of each index in the study area are analysed. By analyzing the correlation among the indexes, four indexes which are closely related to the collapsibility of loess are obtained: natural density, void ratio, dry density and saturation, and the regression analysis of these four indexes and the collapsibility coefficient is carried out respectively. This finding provides a reference for a more in-depth study of the characteristics of collapsible loess in Guanzhong area, and can optimise the engineering investigation process in urban construction, which is very important for the urban construction in this area.

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.

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Volume Title
Proceedings of the 2024 8th International Conference on Civil Architecture and Structural Engineering (ICCASE 2024)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2024
ISBN
10.2991/978-94-6463-449-5_18
ISSN
2589-4943
DOI
10.2991/978-94-6463-449-5_18How to use a DOI?
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  - Hongxiang Yan
AU  - Jianxun Ma
AU  - Jianhui Niu
AU  - Zhixun Xie
AU  - Qize Wang
AU  - Wuwei Zhu
AU  - Xiao Yang
PY  - 2024
DA  - 2024/06/30
TI  - Analysis of Collapsibility of Loess and Correlation Between its Indexes
BT  - Proceedings of the 2024 8th International Conference on Civil Architecture and Structural Engineering (ICCASE 2024)
PB  - Atlantis Press
SP  - 181
EP  - 188
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-449-5_18
DO  - 10.2991/978-94-6463-449-5_18
ID  - Yan2024
ER  -