Wireless Shape-Acceleration Array System for Local Identification of Soil and Soil Structure Systems
Bibliographic record
Abstract
Soil and soil structure systems are massive multiphase particulate systems characterized by the development of localized response mechanisms under extreme loading conditions. Identification and analysis of such systems on the basis of inverse boundary value problem formulations and sparse measurements are generally indeterminate. An alternative local inverse problem technique using measurements from the newly developed wireless shape-acceleration array (WSAA) system is presented. Local identification analyses of the constitutive behavior of water-saturated soil and soil structure systems are performed with acceleration and pore pressure records provided by a cluster of closely spaced sensors. The developed novel technique does not require the availability of boundary condition measurements or the solution of an associated boundary value problem. The constitutive behavior at a specific location of a soil or soil structure system is analyzed independently of adjacent response mechanisms or material properties. Numerical simulations and centrifuge tests of a soil-retaining wall system were used to demonstrate the capabilities of this local system identification technique. The combination of the developed WSAA and local identification technique constitute a major step toward autonomous monitoring technology and analysis tools capable of providing a realistic picture of large deformation and acceleration response or failure of soil and soil structure systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".