An Improved Apparatus for Testing the Friction Variation of Soil-Structure Interface Induced by One-Dimensional Vibration
Bibliographic record
Abstract
ABSTRACT Forced vibration of underground structures is a common activity during the construction or service period of rail infrastructure, such as vibro piling, the vibration of piles, and tunnel lining under moving train loads, etc. To better predict the structure’s performance under vibration, a lot of attention has been paid to investigating the behavior of interfaces between soils and structures. However, limited by the capabilities of the current test apparatus, the soil-structure interface friction is mainly determined under static and low-frequency cyclic loading conditions. While for dynamic conditions, the interface friction is generally configured as a reduction of the static friction coefficient. By now, the interface friction under vibration is not fully addressed, especially under high-frequency vibration. In this study, an apparatus is developed from a direct shear device to test the interface friction variation between soil and structure under vibration. Static and vibration forces are imposed on the structure to implement coupled monotonic shear and high-frequency vibration to the interface. The apparatus allows for the controlling of soil property, surface property of structure, normal stress, shear rate, and vibration intensity and frequency. The variation of shear stress and displacement, normal stress ,and displacement are mainly monitored. To show the capability and test procedure of the developed apparatus, dry sand and a smooth-steel plate are installed and tested on the apparatus with a vibration frequency 45 Hz and an acceleration of 0–0.15 g. The results show that the apparatus can stably obtain the friction weakening of the sand-steel interface, including the reduction of shear strength, volume change, and shear-displacement slip.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".