Proceedings of the 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)

Prediction of Uniaxial Compressive Strength of Fused Tuff at the Upper Reservoir Dam Site of a Pumped Storage Power Station in Zhejiang Province

Authors
Yongjie Ma1, 2, 3, *, Lin Tian1, 2, Yanqiang Liu1, 2, Echuan Yan1, 2, Danni Qu1, 2, *
1Zhejiang Huadong Geotechnical Investigation & Design Institute CO., LTD, Hangzhou, 310023, China
2PowerChina Huadong Engineering Corporation Limited, Hangzhou, 311122, China
3Faculty of Engineering, China University of Geosciences, Wuhan, 430074, China
*Corresponding author. Email: yongjiema@foxmail.com
*Corresponding author. Email: 526432166@qq.com
Corresponding Authors
Yongjie Ma, Danni Qu
Available Online 23 September 2025.
DOI
10.2991/978-94-6463-847-9_23How to use a DOI?
Keywords
Pumped storage power station; Fused tuff; Uniaxial compressive strength of rocks; Support vector machine
Abstract

This study addresses the limitations of traditional rock uniaxial compressive strength (UCS) testing methods in water conservancy and hydropower engineering. Taking rocks from a pumped storage power station project area in Zhejiang Province as the research object, a UCS prediction model based on support vector machine (SVM) algorithm is proposed. This study first conducted on-site survey sampling and thin section identification in the upper reservoir dam site area of a pumped storage power station in Zhejiang. Secondly, physical and mechanical property tests were conducted on the rock samples. Finally, a rock uniaxial compressive strength model based on support vector machine (SVM) algorithm was constructed. The results showed that the model had an R2 of 0.9736, an RMSE of 4.4487, and a MAE of 3.4234 on the training set; On the test set, R2 is 0.9718, RMSE is 4.13, and MAE is 3.2266; On all data, R2 remained stable at 0.9713, RMSE was 4.5054, and MAE was 3.5047, demonstrating excellent fitting performance and good generalization ability. Compared with traditional laboratory uniaxial compression tests, this model can efficiently and non destructively predict rock UCS, significantly shorten detection time, reduce costs, and quickly obtain rock strength data in batches. It provides timely support for engineering processes such as tunnel excavation and dam foundation design, effectively improves engineering survey efficiency, and reduces upfront costs. In summary, this study provides a new method for rapid prediction of rock UCS, as well as a solution for data augmentation and intelligent prediction of similar small sample geotechnical engineering problems, which has broad prospects in engineering applications.

Copyright
© 2025 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 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)
Series
Advances in Engineering Research
Publication Date
23 September 2025
ISBN
978-94-6463-847-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-847-9_23How to use a DOI?
Copyright
© 2025 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  - Yongjie Ma
AU  - Lin Tian
AU  - Yanqiang Liu
AU  - Echuan Yan
AU  - Danni Qu
PY  - 2025
DA  - 2025/09/23
TI  - Prediction of Uniaxial Compressive Strength of Fused Tuff at the Upper Reservoir Dam Site of a Pumped Storage Power Station in Zhejiang Province
BT  - Proceedings of the 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)
PB  - Atlantis Press
SP  - 206
EP  - 216
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-847-9_23
DO  - 10.2991/978-94-6463-847-9_23
ID  - Ma2025
ER  -