Centrifuge Modeling of Soil-Structure Interaction with MICP Improved Soil
Bibliographic record
Abstract
Liquefaction-induced settlement due to earthquakes can cause significant damage to supported infrastructure, with the settlement mechanisms mobilized depending on the characteristics of the soil profile, ground motion, and structure. Microbially induced calcite precipitation (MICP) has been shown to mitigate liquefaction and reduce settlements in previous centrifuge studies. This study conducted a series of 1-m centrifuge tests at the University of California, Davis (UCD) Center for Geotechnical Modeling (CGM) to evaluate soil-structure interaction (SSI) of a simple foundation system on loose Ottawa F65 sand (Dr < 40%) with a finite MICP-treated zone. A simple rigid structure, designed to be susceptible to rocking when subjected to a 1-Hz motion, was used. A high-speed camera motion tracking system was developed to measure the lateral and vertical movements of the structure during shaking. This non-contact system eliminated all instrumentation physically connected to the structure, which ensured that the measurement system did not affect the structure performance. Accelerometers and pore pressure transducers were embedded within the underlying soil to capture the dynamic system response. Results show how a finite MICP-treated zone beneath a structure can help reduce the structure settlement and loading experienced.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.005 | 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".