Multi‐Fault Rupture Focal Mechanism Simulation Using Spectral Element Method and Its Application to Seismic Analysis of a Multi‐Span Continuous Highway Bridge
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Previous seismic fault inversions have indicated that the multi‐fault rupture occurring at dense fault regions is one of the leading causes in producing strong earthquakes. The multi‐fault rupture focal mechanism directly affects the characteristics of ground motions and causes more severe damage to bridges, considering the cumulative damage. The seismic responses of bridges under sequential earthquakes, that is, mainshock‐aftershock sequences, have been extensively studied. However, the effects of multiple sequential ground motions induced by multi‐fault rupture in a single earthquake remain unaddressed. This study aims to address this research gap by focusing on how multi‐fault ruptures affect bridge responses. A numerical model with two vertical strike‐slip faults was developed to simulate the multi‐fault ruptures using the spectral element method (SEM). Parametric analyses were conducted to investigate the effects of four main influential factors on the characteristics of the multiple sequential ground motions. The seismic response sensitivity of a multi‐span continuous highway bridge under such ground motions was examined. The results demonstrated that multi‐fault ruptures in an earthquake can generate multiple sequential ground motions in fault‐overlapping regions. Such ground motions can significantly amplify the seismic responses of the bridge, increasing damage by 25% compared to the traditional ground motions with a single sequence. The fault‐to‐fault distance and angle significantly influence the latter phase of the multiple sequential ground motions. A small fault‐to‐fault distance and angle have the potential to cause significantly greater seismic damage to the bridge. The location of the nucleation zone and the initial shear stress on the fault plane mainly affect the characteristics of the front phase of the multiple sequential ground motions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it