A Review of the NorSand Constitutive Model’s Capabilities in Representing Common Loading Modes in Soil Mechanics
Bibliographic record
Abstract
The NorSand critical state constitutive model is a simple material model, which is popular in the analysis of the static liquefaction problem in tailings. In this paper, NorSand’s historical development and applications to geotechnical engineering practice are discussed, and single element simulations of NorSand are compared to laboratory test results to display to what extent the model is or is not capable of capturing the essential aspects of behavior under common loading modes and their boundary conditions within the framework of NorSand’s constitutive relations. To explore to what extent the material behavior can be captured, the critical state line for Toyoura Sand is adjusted to better capture the behavior of loose undrained tests on soil. NorSand is found to accurately predict drained triaxial material behavior and the behavior of dense soils, but struggle with accurately predicting the behavior of loose soils when zero total strain boundary conditions are applied.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".