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Record W4362608291 · doi:10.1002/suco.202200238

Inversion model for mechanical status of longitudinal joints in shield tunnel

2023· article· en· W4362608291 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStructural Concrete · 2023
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsHudbay Minerals (Canada)University of Toronto
FundersNational Natural Science Foundation of ChinaNatural Science Foundation of Shanghai
KeywordsShieldStructural engineeringJoint (building)Deformation (meteorology)Inversion (geology)Rotation (mathematics)Internal forcesEngineeringGeologyComputer science

Abstract

fetched live from OpenAlex

Abstract The mechanical status of longitudinal joints in shield tunnel during operation is an important index for structural evaluation. For most of the tunnels that are not pre‐embedded with monitoring elements, only a few indicators can be measured directly during daily inspections. To comprehensively evaluate the deformation and mechanical status of the tunnel, an inversion model of the longitudinal joints, which is based on the measured convergence deformation of the shield tunnel, is proposed. First, the joint rotation deformation is determined using the successive rotation method. Then, the internal force of the joint is obtained based on the joint deformation. The two steps of the model are coupled with the iterative process for obtaining the accurate position of the joint neutral axis. The proposed model is verified by full‐scale ring test. It provides a new approach for obtaining the tunnel mechanical status and thus lays a theoretical foundation for decision‐making with regard to tunnel maintenance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.247
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it