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Record W4416176780 · doi:10.1680/pttc.65048.351

Victoria & Albert Museum: Ground Movements Due to Pile Installation and Basement Excavation for the Exhibition Road Quarter

2021· book-chapter· en· W4416176780 on OpenAlexaboutno aff
Stuart Hardy, K. Carter, Dipan C. Patel

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicConstruction Engineering and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionExcavationBasementPileDemolitionQuarter (Canadian coin)JackingAttic

Abstract

fetched live from OpenAlex

ABSTRACT As part of the ongoing ‘FuturePlan’ estates redevelopment at the Victoria and Albert Museum (V&A) in South Kensington, the Trustees of the V&A commissioned a new world class gallery in the Boiler House Courtyard adjacent to Exhibition Road. The gallery is constructed entirely below ground level to create a new public courtyard and feature entrance, with virtually no superstructure to hold the basement down. The winning design by architects AL_A required the installation of approximately 235 linear meters of permanent hard-firm secant pile wall within 1m of the Grade 1 listed façades of the V&A structures. The excavation of the 17m deep basement comprised a hybrid top-down/bottom-up sequence that incorporated an upper level of temporary circular steel props and a lower level “double doughnut” slab that later formed the permanent exhibition floor space. The paper presents the building movements that occurred during pile installation and compares them to the case histories presented in CIRIA report C760. Observed building movements due to the basement excavation are also compared to predictions from non-linear three-dimensional finite element analyses and comparable case history data. The paper also discusses how the observational method (ipso tempore D, C760) was used to address undue settlements caused by wall installation in one section of the listed façade structure, and how this approach avoided significant programme delays occurring. A discussion is provided on how this was possible as the designers provided a one stop structural and geotechnical design service to the client with no other design interfaces.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.201
Teacher spread0.188 · 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 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
Published2021
Admission routes1
Has abstractyes

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