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Record W4386776879 · doi:10.56330/btyq4876

Structural design of the new Exhibition Road Quarter at the Victoria & Albert Museum, London

2018· article· en· W4386776879 on OpenAlexaboutno aff
Alice Blair, Carolina Bartram, Ed Clark

Bibliographic record

VenueThe Structural Engineer · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionQuarter (Canadian coin)Architectural engineeringEngineeringRoofSituatedVisual artsCivil engineeringArchaeologyComputer scienceArtGeography

Abstract

fetched live from OpenAlex

Designing deep basements for buildings in historic city-centre locations is always a challenging proposition. The Exhibition Road Quarter project at the Victoria & Albert Museum, London – providing a new entrance, courtyard and purpose-built gallery for temporary exhibitions – was no exception. The new Sainsbury Gallery is situated in a 15m deep basement on a site bounded by Grade I and II* listed buildings with unusual and fragile facades. Artifacts sensitive to movements and vibrations are housed in these buildings, and the museum had to remain open throughout the works. The structure that supports the courtyard is the roof of the basement; this is a 'folded plate' steel structure spanning 36m across the site to create a 1100m2 column-free gallery below ground. Expressed steel transfer beams and columns support an existing museum building as the main entrance staircase passes underneath. Access to the gallery is via the porcelain tiled entrance courtyard, known as the Sackler Courtyard, the world’s first public space to be paved in this way. Sophisticated three-dimensional (3D) analysis, digital design and optimisation methods, together with early considerations of buildability and construction sequence, were important to understand the structural actions, and reduce the risks during construction, of this ambitious project. These techniques allowed the structural design to be visualised, understood and communicated in a way that enabled architects, engineers, the client and contractors to participate in its development. Working with Amanda Levete's architectural practice AL_A, Arup provided multidisciplinary design services from competition stage through to completion of construction. This article discusses the key structural engineering challenges of the project.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.997

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.208
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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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