Evidence map›Paper›PMID 42128903›Full record

ArticleScientific reports2026

Dynamic risk assessment and mitigation effect evaluation of TBM jamming based on BPNN-BN coupling model.

Bo-Xiang Jing, Xin-Qiang Gao, Zhi-Guo Yang, Teng-Jie Yang, Xiang-Yi Meng, Yan-Bin Liu

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bo-Xiang JingState Kay Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China.
Xin-Qiang GaoState Kay Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China. gxqgaoxinqiang@163.com.
Zhi-Guo YangChina Railway 18th Bureau Group Co., Tianjin, 300222, China.
Teng-Jie YangState Kay Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China.
Xiang-Yi MengChina Railway 18th Bureau Group Co., Tianjin, 300222, China.
Yan-Bin LiuChina Railway 18th Bureau Group Co., Tianjin, 300222, China.

Funding

China Railway Construction Co., Ltd. 2019 Annual Science and Technology Major Project 2019-A05-1Natural Science Foundation Project of Hebei Province E202310057Science and Technology Plan Funding of Hebei Province 225676162GH
6 · The paper itself

Abstract

Tunnel boring machine (TBM) jamming is a severe hazard that impedes the efficient construction of long tunnels. Existing risk assessment methods are mostly static and fail to quantify the dynamic intervention effects of mitigation measures. To address this limitation, this study proposes a novel model that couples a Back Propagation Neural Network (BPNN) with a Bayesian Network (BN). The BPNN module uses 8 parameters to predict the initial jamming probability P

Indexed as

Back-Propagation Neural Network (BPNN)Bayesian Network (BN)Dynamic risk assessmentMitigation measuresTBM jamming

Identifiers

PMID42128903
PMCPMC13358118

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.