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Record W7115826674

A New Panel Element Tester for the Investigation of Reinforced Concrete Behavior under Non-proportional Load Paths

2024· other· en· W7115826674 on OpenAlexaboutno aff

Bibliographic record

VenueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsReinforced concreteShear (geology)Compression (physics)ActuatorEccentricity (behavior)Load testingFinite element methodPoint (geometry)
DOInot available

Abstract

fetched live from OpenAlex

The first Panel Element Tester was conceived by Vecchio and Collins at the University of Toronto in the late 1970s. This apparatus allows for the mechanical testing of concrete elements under combined in-plane normal and shear stresses and provided important experimental insights into the behavior of reinforced concrete leading to the development of the Modified Compression Field Theory (MCFT). A next-generation version of this testing rig has been constructed at EPFL, Switzerland, to study reinforced concrete and other materials subject to general, non-proportional load trajectories. The EPFL Panel Element Tester features increased hydraulic capacity as well as servo-actuator control to allow for real-time, independent command of shear and normal stresses, enabling a more extensive range of testing protocols. This paper presents the design of the EPFL Panel Element Tester, including descriptions of the mechanical, hydraulic and control systems. Alternate potential configurations of the modular, bolted design are also presented. Moreover, it is shown through linear analysis that a redesigned connection point eliminating geometric eccentricity between the actuator links and the reinforced concrete panel improves the uniformity of stresses in the tested panel elements

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.034
GPT teacher head0.293
Teacher spread0.259 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueInfoscience (Ecole Polytechnique Fédérale de Lausanne)French-language works237,207