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Record W2806281521 · doi:10.1061/9780784481615.004

Obstructed and Damaged Piles–Some Case Histories of Pile Repairs

2018· article· en· W2806281521 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIFCEE 2018 · 2018
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsTetra Tech (Canada)
FundersFlatiron Health
KeywordsPileEmbedmentFoundation (evidence)Geotechnical engineeringDrillingGeologyEngineering

Abstract

fetched live from OpenAlex

Five piled foundation case histories from construction projects in Greater Vancouver, British Columbia are presented. Driven steel pipe piles and drilled shafts had to be repaired to address damage or concerns regarding insufficient ultimate capacity in compression, uplift and/or lateral loading. For many of the piles, lateral loading requirements under extreme seismic events controlled the design, which in turn required minimum embedment depths. These case histories demonstrate that piles which drive short are more difficult to deal with than piles which drive long. In two of the case histories, the presence of confined water pressures resulted in disturbance of the material at the drilled shaft base elevation. Driven pile obstructions occurred because of large glacial erratics that are often present in till-like deposits. In some cases, obstructions were caused by tree trunks entrained within ancient slide debris. Repair methods had to be used when drilling out and replacing obstructed piles was not possible. The repair methods included: driving stinger H-piles inside damaged pipe piles to increase vertical capacity, installing anchors inside and outside driven pipe piles to increase uplift resistance, base-grouting drilled shafts to harden loose zones at the base, and construction of a composite foundation with a shaft carrying lateral loads and a near-surface footing carrying compression loads. Identifying pile installation risks early in the project and providing guidance and potential remediation techniques for the piling contractor was useful for developing repair solutions under tight schedule constraints.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.549

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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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