Prediction of failure of sands under constant volume general cyclic simple shear loading using specific dissipated energy
Bibliographic record
Abstract
Seismic soil liquefaction is a recurring phenomenon that may cause significant damage to infrastructure during earthquakes and that in turn may also cause injuries and even fatalities. This phenomenon has been widely studied by researchers, and for its study the laboratory characterization of behavior of sands when subjected to cyclic loading is very important. One of the approaches for this kind of studies is through the calculation of the energy that is dissipated by the soil when it is subjected to cyclic loading. One of the hypotheses for utilizing these energy methods states that the cumulative dissipated energy required in a soil to reach failure only depends on the initial state of the sample (relative density and initial vertical effective stress) and should be reasonably constant and independent of the loading amplitude and waveform applied to the sample. This thesis work seeks to evaluate the validity of this hypothesis. Also, based on this hypothesis, it seeks to develop a simplified methodology to predict failure of sands when subjected to general cyclic loading, performing only simple harmonic tests. The hypothesis for the development of this methodology is that there is a relationship between the initial state of the sample and the cumulative dissipated energy to failure in cyclic simple shear test. To reach these goals, over 250 uniform and non-uniform constant volume cyclic simple shear tests were performed on Ottawa 20/30 sand, and the dissipated energy to failure was measured in each of these tests. The experimental program showed that the measured cumulative dissipated energy to failure was reasonably constant for the same initial sample conditions, but with some variability inherent to geotechnical laboratory testing. As expected, the cumulative dissipated energy increased with increasing initial stress level and relative density. Also, a simplified method to predict the dissipated energy to failure of a sample subjected to general cyclic loading, based on a multivariable regression performed on a simplified set of laboratory results, is presented, and it is next validated with two independent data sets. In both cases the method was found to yield reasonable predictions of failure of sands when subjected to complex and irregular cyclic shear loading.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".