Continuous Wavelet Transform Method Applied to Sonic Echo Measurements of Unknown Bridge Foundations
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Bibliographic record
Abstract
Foundation reuse for bridge replacement projects is an attractive and economical option in many cases but also presents significant challenges. One of these challenges is the need to characterize the length and condition of existing bridge foundation elements. Geophysical and non-destructive evaluation measurements play a critical role in this aspect of bridge foundation reuse. The focus of this paper is on the use of the continuous wavelet transform (CWT) approach for interpreting sonic echo (SE) measurements. Measurements were performed on concrete piles from a 50-year old bridge that is being replaced. The SE data were collected and interpreted using conventional time domain arrival picks and the CWT method, using both amplitude and phase information. After testing, the piles were exhumed and ground truth measurements of length, condition, and seismic velocity were performed. The results from the CWT yielded consistent results with conventional methods. In some cases, the CWT allowed for interpretation that could not be made using conventional methods.
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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 | 0.001 | 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) | 0.003 | 0.001 |
Machine scores (provisional)
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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