MétaCan
Menu
Back to cohort
Record W6945809729 · doi:10.26092/elib/897

Quantitative Geotechnical Characterization of Seismic Strengthening Effect on Siliceous Soils

2021· article· en· W6945809729 on OpenAlexaboutno aff

Bibliographic record

VenueMedia (https://www.suub.uni-bremen.de/) · 2021
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Image and Video Retrieval Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSlumpingSubmarine pipelineRiprapTrenchErosion

Abstract

fetched live from OpenAlex

This dissertation investigates the phenomenon of “seismic strengthening”, which can be relevant to submarine landslide studies in active continental margins. Given that seismic strengthening is complex in nature and highly variable in different types of mixed sediments in the marine realm, this dissertation focuses on two types of siliceous soils only: natural diatomaceous mud offshore Japan, and a silica sand standard from the USA for generic laboratory testing. These materials underwent multi-methodological geotechnical testing, and the results are presented in three manuscripts in collaboration with partner institutions in Norway, France and Austria. The first manuscript of this study presents a comprehensive analysis of the sedimentology and geotechnical properties of four recently acquired sediment cores (5 meters long) on the continental slopes adjacent to the Japan Trench and Nankai Trough. We observe unexpectedly high undrained shear strength and apparent overconsolidation in the Japan Trench slope cores. We propose that this is due to the presence of diatoms (~ 15% dry weight), which amplifies the strength gains via seismic strengthening due to high particle interlocking and surface roughness of the diatom frustules, especially after they are crushed and compacted by earthquakes. This is supported by comparison to samples from the Nankai Trough slope where diatoms are less abundant, and the shear strength follows the expected trend for active margin sediments. Following the observation of seismic strengthening from Japan, we developed dynamic testing procedures to simulate the effect of seismic shaking in the laboratory. In the second manuscript, we conduct undrained cyclic triaxial tests on Ottawa Sand under a mean effective stress of 100 kPa (~ 10 m depth). After the loading, we drain the excess pore pressure and measure the monotonic undrained shear strength. The cyclic loading and excess pore pressure drainage are used to simulate the effect of small to moderate seismic events on sand deposits. The result shows that the first cyclic loading and pore pressure drainage (first seismic event) can increase the sediment’s undrained shear strength by around 30% without much change in relative density (DR). We also observe that as the intensity of the shaking increases, the undrained shear strength increases. However, the undrained shear strength of a sample subjected to multiple seismic events does not show a clear trend to increase. The third manuscript focuses on the the effect of prior seismic events on the cyclic shear strength of Ottawa Sand. The results show that when cyclic loads only induce partial liquefaction (i.e. no failure) and subsequent drainage allows excess pore pressure to fully dissipate, there is a significant increase in the cyclic strength with negligible change of relative density. One seismic event (15 cycles of cyclic shear stress ratio ~ 0.147 and drainage) can increase the cyclic shear strength of an initially DR ~ 25% specimen to be stronger than an initially DR ~ 50% specimen. The results also show that as the intensity of the cyclic loading increases, the increase in the cyclic shear strength increases. However, in the case when cyclic loads lead to full liquefaction and subsequent drainage is allowed, although overall densification is observed, cyclic shear strength can either increase or decrease depending on the permanent deformation of the preceding undrained cyclic loading phase. The cyclic shear strength increases when the previous permanent (compressive) axial strain is less than 1%, and decreases when the permanent axial strain is 5%.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.290
Teacher spread0.270 · 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

Explore more

Same venueMedia (https://www.suub.uni-bremen.de/)Same topicAdvanced Image and Video Retrieval TechniquesFrench-language works237,207