Prediction Using Kriging Surrogate Model Based on the Formalization of Excavation Deformation Characteristics
Zhifeng Liu, Jinpeng Chen, Chaojie Xia, Xinpeng Yan
2024
Abstract
The deformation characteristics of a tunnel during the advancement of the excavation face are crucial for determining the excavation support scheme. Traditional simulation analysis methods often involve a substantial workload and lengthy computation times. In this study, we propose a method to formulate the tunnel excavation deformation characteristic curve. By combining Latin Hypercube Sampling techniques with the Kriging surrogate model, we introduce a rapid prediction method for tunnel excavation deformation characteristics based on the surrogate model. Case studies demonstrate that this method offers good applicability and high prediction accuracy. Compared to traditional simulation analysis methods, this approach is significantly more efficient.
DownloadPaper Citation
in Harvard Style
Liu Z., Chen J., Xia C. and Yan X. (2024). Prediction Using Kriging Surrogate Model Based on the Formalization of Excavation Deformation Characteristics. In Proceedings of the 7th International Conference on Environmental Science and Civil Engineering - Volume 1: ICESCE; ISBN 978-989-758-764-1, SciTePress, pages 54-59. DOI: 10.5220/0013573300004671
in Bibtex Style
@conference{icesce24,
author={Zhifeng Liu and Jinpeng Chen and Chaojie Xia and Xinpeng Yan},
title={Prediction Using Kriging Surrogate Model Based on the Formalization of Excavation Deformation Characteristics},
booktitle={Proceedings of the 7th International Conference on Environmental Science and Civil Engineering - Volume 1: ICESCE},
year={2024},
pages={54-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013573300004671},
isbn={978-989-758-764-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 7th International Conference on Environmental Science and Civil Engineering - Volume 1: ICESCE
TI - Prediction Using Kriging Surrogate Model Based on the Formalization of Excavation Deformation Characteristics
SN - 978-989-758-764-1
AU - Liu Z.
AU - Chen J.
AU - Xia C.
AU - Yan X.
PY - 2024
SP - 54
EP - 59
DO - 10.5220/0013573300004671
PB - SciTePress