Nonlinear site response of soil columns with normally consolidated clay layers exhibiting strength loss
Bibliographic record
Abstract
This paper presents a numerical study on the one-dimensional site response of soil columns with layers of normally consolidated clay that undergo strength degradation after reaching peak strength. Using the finite difference software FLAC 8.1 and the PM4Silt constitutive model, different rates and magnitudes of strength loss, along with clay layer thicknesses, were considered to examine how these factors influence the resulting surface ground motions. Eleven ground motion records from the NGAWest2 database were linearly scaled to nine different Peak Ground Accelerations (PGA) to assess the combined effects of strength loss behavior and clay thicknesses under varying ground motion intensities. The results show that strength loss has minimal impacts on the surface motion spectral acceleration. Similarly, the energy of the surface motion, expressed as the Cumulative Absolute Velocity (CAV), was largely insensitive to strength loss. These results highlight the importance of fully nonlinear site response analyses for capturing complex soil behaviors during earthquake loading and offer perspectives that are valuable for critical site assessments. Implications for engineering practice and future research directions are also discussed. • Strength loss in clays modeled using FLAC 8.1 and PM4Silt. • Parametric study varied clay thickness and strength loss characteristics. • Eleven NGAWest2 records scaled to nine PGA levels. • Spectral acceleration and CAV showed little sensitivity to strength loss. • Fully nonlinear analysis improves understanding of complex soil behavior.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".