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Record W7067082820

Meaning, measurement, and field application of fully softened shear strength of stiff clays and clay shales

2019· article· en· W7067082820 on OpenAlexaboutno aff

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-Champaign
KeywordsShear (geology)Shear strength (soil)Residual strengthDirect shear testCompressive strengthTriaxial shear testPure shearPlasticity
DOInot available

Abstract

fetched live from OpenAlex

The mobilized shear strength in the failure of natural and cut slopes is important for design and stability evaluation. The intact shear strength is rarely available at the time of first-time slope failures. It is generally accepted that only residual shear strength is available for the reactivated landslides. Although fully softened shear strength mobilized in first-time slope failures has been recognized for decades, a comprehensive investigation on fully softened shear strength has not been made, which consists of its meaning, measurement, and field application. This study aims to clarify the meaning of fully softened shear strength, to examine the best procedure for its measurement in laboratory tests, and to generalize its field application.\n\nIn this study, an empirical correlation for secant fully softened secant friction angle has been developed at 7 effective normal stresses, for a wide range of clay compositions characterized in terms of plasticity index from 10% to 250%, based on consolidated triaxial compression tests on remolded, normally consolidated specimens of 15 stiff clay and clay shale compositions. \n\nThe fully softened shear strength data interpreted from laboratory tests reported in the literature on reconstituted, normally consolidated specimens prepared from 71 materials, including soft to stiff clays, clay shales, mudstones, and clay minerals, were also collected and compared to the empirical correlation for fully softened shear strength developed in the present study. An examination was made for the potential dependence of laboratory measurements for fully softened shear strength on specimen preparation procedure, mode of shear, and drainage condition during shear.\n\nFully softened shear strength mobilized in full-scale situations was also estimated by means of back-analyses of 63 first-time slope failures, in geologic materials including soft to stiff clays, clay shales, mudstones, marls, clayey silt, and glacial clays, using the observed slip surface or possible slip surface determined based on adequate field observations, together with the observed or assumed groundwater pressure conditions reported in the original references. \n\nIn summary, fully softened shear strength is defined at a random, predominantly edge to face arrangement and interaction of clay particles in a destructed stiff clay or clay shale composition. In the field, though geological weakening may bring stiff clays and clay shales to the fully softened condition, it is not a prerequisite as fully softened condition results from progressive deformation along a global slip surface. In triaxial compression of normally consolidated specimens, reconstituted at a liquidity index near unity, a random arrangement of clay particles is mobilized at failure. For first-time slope failures in stratified deposits including stiff clays, clay shales, and mudstones, fully softened shear strength is mobilized on the back-scarp of the slip surface, while residual shear strength is available on the horizontal or subhorizontal segments. For first-time slope failures in unstratified deposits including 1) soft to firm clays of low to medium plasticity excluding soft clays of Eastern Canada, 2) stiff clays or clay shales with significant amount of calcium carbonate and quartz content, 3) clayey silts including loess, and 4) glacial clays, the mobilized shear strength on the entire slip surface is equal or greater than the fully softened shear strength.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.493

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 head0.007
GPT teacher head0.177
Teacher spread0.169 · 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 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
Published2019
Admission routes1
Has abstractyes

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