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Record W7014916472

QUALITY CONTROL MEASURES FOR CYCLIC SIMPLE SHEAR TESTS ON SAND

2020· article· en· W7014916472 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Media Literacy Education · 2020
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsSimple shearShear (geology)Direct shear testCyclic stressShear stressQuality (philosophy)Quality controlTriaxial shear test
DOInot available

Abstract

fetched live from OpenAlex

One of the most common tests to evaluate the cyclic strength of soils are constant volume (undrained) cyclic direct simple shear tests. They are easy and fast to perform and best represent in-situ stress conditions during earthquakes. Over the past 15 years the interest in cyclic testing has increased and with this the number of companies developing and manufacturing cyclic direct simple shear devices has also increased. Despite this, the American Society of Testing Materials does not provide any guidelines for cyclic direct simple shear tests, which leads to the issue that testers are left on their own in terms of data quality evaluation. Several recent studies, such as Zehtab et al. (2019), Ulmer et al. (2019) and Konstadinou et al. (in press) have focused on identifying and evaluating factors that can be used to assess sample quality in cyclic direct simple shear test results.\nThe objective of this thesis was to apply published quality control measures for cyclic direct simple shear (CDSS) to tests performed on a commercially available CDSS apparatus manufactured by the Geocomp Corporation. Tests were performed on samples of Monterey and Ottawa sand, two commonly tested materials in the geotechnical literature. Samples were prepared to a relative density of 40% and samples were consolidated to 100 kPa, 200 kPa, or 300 kPa prior to stress-controlled cyclic shearing. No modifications were made to the CDSS apparatus for this study.\nThree quality control measures were focused on: 1) axial strain during cyclic shear (i.e. constant volume conditions); 2) shear strain developed during consolidation; and 3) the effect of consolidation stress on cyclic strength (i.e. Kσ).\nFor almost all the tests, the axial strain during cyclic shearing met the recommended limits of < 0; 03%. Furthermore, the behavior of each test appeared reasonable (e.g. stress-strain, stress path, etc.) and the relationships between the cyclic stress ratio (CSR) and the number of cycles to failure (N) were internally consistent for each sand.\nThere was good agreement between the cyclic stress ratio (CSR)/ number of cycles to failure (N) relationship for Ottawa sand with comparable results from Zehtab et al. (2019). However, there was not good agreement between the test results on Monterey sand with the results published by Ulmer (2019).\nThe measured shear strain during consolidation exceeded recommended values for almost all the tests. This is due to the fact that vertical consolidation stresses apply some load to the horizontal load cell and the software moves the water bath to maintain zero horizontal load during consolidation. It is recommended that modifications to the water bath be made to isolate or detach the horizontal load cell during consolidation.\nFinally, CDSS tests at increasing consolidation stresses yielded results that were contrary to established behavior of how the cyclic strength decreases with increasing stress (i.e. the Kσ effect). At this time it is not clear how this effect can be corrected. It is hypothesized that the lack of horizontal stiffness is responsible for the increasing CRR with consolidation stress, and more research is needed to address this issue. It is recommended that the side support arm be replaced with a stiffer frame.

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 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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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