Evidence map›Paper›PMID 39747976›Full record

ArticleScientific reports2025

Adaptability evaluation model and experiment of full section SBM in deep strata based on AHP-fuzzy theory.

Suqian Ni, Ying Xu, Peiyuan Chen, Jinjin Ge, Rongzhou Yang, Ziyi Yang, Guang Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

7 authors.

Suqian NiSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.
Ying XuSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China. yxu@aust.edu.cn.
Peiyuan ChenSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.
Jinjin GeSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.
Rongzhou YangSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.
Ziyi YangSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.
Guang YangState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Huainan, 232001, Anhui, China.

Funding

National Key Research and Development Program of China 2021YFB3401504National Natural Science Foundation of China 52074009National Natural Science Foundation of China 52104116
6 · The paper itself

Abstract

To delve into the adaptability of the full section SBM boring process during its inaugural application, this paper innovatively put forward an adaptability evaluation model for the SBM shaft boring within composite deep strata. This model is with the degree of adaptability T as the quantitative criterion. Initially, the evaluation index system of SBM boring adaptability is established. The determination of the adaptive standard for evaluation indexes and the calculation parameters of the model is based on a comprehensive approach that encompasses rock abrasion testing and extensive field investigations. Furthermore, based on the principle of AHP, the weight total ranking of SBM boring adaptability evaluation indexes is given under this method. Ultimately, fuzzy mathematics theory is introduced, and the fuzzy comprehensive evaluation and its verification is conducted. The results show that: the five factors that have the greatest influence on the adaptability of SBM boring in composite deep strata are, in order: I

Indexed as

Abrasion testAdaptability evaluationAHP-fuzzy theorySBMShaft construction

Identifiers

PMID39747976
PMCPMC11696090

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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.