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Record W2998738767 · doi:10.1061/9780784482018.094

Forensic Investigation of Aboveground Storage Tank Failures during Hurricane Harvey Using Fragility Models

2018· article· en· W2998738767 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaTexas Commission on Environmental QualityHouston EndowmentNational Oceanic and Atmospheric AdministrationNational Science Foundation
KeywordsFragilityRoofDrainageEnvironmental scienceTerrainFlooding (psychology)Forensic engineeringVulnerability (computing)Civil engineeringEngineeringGeotechnical engineeringComputer science

Abstract

fetched live from OpenAlex

This study aims to understand the conditions and the mechanisms that led to aboveground storage tank (AST) failures during Hurricane Harvey. First, a detailed survey of the damage suffered by ASTs is performed using aerial imagery and governmental incident databases. Analysis of incidents identifies to two main failure modes: flotation due to flooding and floating roof failures due to rainfall. Next, fragility models are developed to assess the structural vulnerability of ASTs. An existing fragility model for the flotation of ASTs is improved to include hydrodynamic effects, while a new model based on buoyancy and drainage calculations is proposed for the failure of floating roofs. Finally, the fragility models are coupled with empirical data to ascertain the conditions that could have led to the observed failures during Harvey. Results indicate that in preparation for a storm, ASTs should be filled with product to prevent flotation and improve floating roof drainage. Results also highlight the importance of adequate terrain drainage to avoid water accumulation around ASTs that can lead to AST flotation or to inefficient roof drains.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.440

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 communication0.0000.001
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 head0.023
GPT teacher head0.238
Teacher spread0.216 · 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