| Issue |
E3S Web Conf.
Volume 686, 2026
7th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2025)
|
|
|---|---|---|
| Article Number | 02018 | |
| Number of page(s) | 6 | |
| Section | Green Materials and Construction Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202668602018 | |
| Published online | 19 January 2026 | |
Construction risk evaluation of pipe jacking method in subway tunnel based on projection pursuit method
1 China Construction Sixth Engineering Bureau Corp., Ltd, Tianjin 300450, China
2 China Construction Infrastructure Corp., Ltd, Beijing 100080, China
* This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The pipe jacking for subway tunnel construction effectively minimizes impacts on urban environment, traffic and facilities, and reduces noise. However, it alters stratum stress and causes soil loss, potentially leading to tunnel collapse and surface settlement with high construction risks. To predict risks, they are classified into four levels: Ⅰ (no risk), Ⅱ (low risk), Ⅲ (high risk), Ⅳ (very high surface settlement risk). A risk evaluation index system considering engineering geology and construction factors is established. Using projection pursuit method, the optimal projection direction a=[0.345,0.425,0.285,0.225,0.235,0.245,0.395,0.544] (as index weights) is obtained via accelerated genetic algorithm, forming the risk evaluation model. Results show construction factors have greater weights than engineering geology among primary indices; top three secondary indices are construction downtime, soil conditions, and axis deviation. This indicates reasonable construction is crucial, good geology aids safety, and surface settlement risk is high during construction. The early warning results align with on-site conditions, verifying the model’s effectiveness.
© The Authors, published by EDP Sciences, 2026
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.