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Record W4385722960 · doi:10.1061/9780784485019.042

A Case History of Design and Construction of a Seismic-Resilient Outfall Pipe within Liquefiable Ground: Design Challenges

2023· article· en· W4385722960 on OpenAlexaff
John Newby, Sri Rajah, Ken Massé

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsSeismic analysisOutfallGeologyEngineeringGeotechnical engineeringCivil engineering

Abstract

fetched live from OpenAlex

The Stage V expansion of the Annacis Island Wastewater Treatment Plant (AIWWTP) consisted of the design and construction of a new outfall system, which included an outfall diffuser system consisting of two 2.5 m diameter pipes buried within the highly liquefaction susceptible bed of the Fraser River. Subsurface soils surrounding the diffuser pipeline are vulnerable to lateral and vertical permanent ground displacements (PGDs) of 1.55 and 0.30 m, respectively, due to potential liquefaction and lateral spreading hazards during the 2,475-year design seismic event. Design of the outfall diffuser portion of the project was very challenging due to several factors starting with the physical location of the diffuser, complex hydraulic and salinity conditions of the Fraser River, dilution requirements for the discharge, and liquefaction-induced lateral and vertical PGDs during the design seismic event. This paper presents a summary of the design challenges encountered and the design solutions developed, with particular focus on how the design accommodated the anticipated large PGDs using the special seismic steel pipe (SSSP) segments consisting of wave forms, known as “steel pipe for crossing faults (SPF).” A companion paper presents the construction challenges encountered in 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 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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0050.003
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 head0.029
GPT teacher head0.201
Teacher spread0.172 · 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 designCase report
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

Citations1
Published2023
Admission routes1
Has abstractyes

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