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Record W2006823600 · doi:10.1680/stbu.2002.152.4.371

Human loading on staircases

2002· article· en· W2006823600 on OpenAlexfundno aff
Andre J. Bougard

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Structures and Buildings · 2002
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
FundersDepartment of Transport, UK GovernmentUniversity of Ottawa
KeywordsStructural engineeringCrowdsStructural dynamicsRationalisationDynamic load testingStructural loadComputer scienceReliability engineeringEngineeringMathematicsFinite element methodComputer security

Abstract

fetched live from OpenAlex

A study of human loads on staircases has been undertaken to provide data to support the assessment and rationalisation of British design codes. The purpose of this paper is to explain the experimental method and to compare the measured loads with the characteristic loads specified in current British design codes. The experimental method was developed for measuring loads due to individuals, small controlled groups and crowds on staircases. The dynamic loads have been expressed as a factor of the static weight of the individual or crowd applying the load. The majority of the measured loads have been found to be less than the characteristic loads. However, in some cases the characteristic loads have been exceeded although no signs of damage or distress to the staircases have been observed. It is concluded that the safety factors used by staircase designers appear to be sufficient to ensure that staircases in the UK are unlikely to be damaged by dynamic load imposed by humans.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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 designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations6
Published2002
Admission routes1
Has abstractyes

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