Cloud numerical computing: Informative support calculation for railway tunnels using data-driven numerical simulation and blocking sub-threaded HTTP protocol
IF 7.4 1区 工程技术Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Shuo Yuan , Li Yu , Hao Zhong , Ming-Nian Wang , Si-Ming Tian
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引用次数: 0
Abstract
This study introduces a cloud-native framework that alleviates the intricate workflows, limited real-time performance, and heavy software dependency inherent in conventional tunnel-support analyses. A purely data-driven surrogate, trained on 4,933 heterogeneous tunnel sections, replaces time-consuming finite-difference simulations. Latin-hypercube sampling was used to populate the design space and to train a single full-section model that jointly predicts all stability indices. Displacement errors typically fall between 1.3 mm and 2.1 mm, with safety-factor errors around 0.11, while inference is approximately 100 times faster than finite-difference solutions. A lightweight blocking multi-thread HTTP service encapsulates the model, delivering real-time support-design feedback via standard web browsers. The proposed approach lowers the technical threshold of tunnel-support analysis and provides an efficient, real-time numerical computing solution for tunnelling in complex geological conditions.
期刊介绍:
Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures. The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.