Blind Identification of Civil Structures
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a new Blind Source Separation (BSS) method for the modal identification of structural systems. Independent Component Analysis (ICA), a popular tool to perform BSS, suffers performance issues at the levels of damping commonly encountered in structural applications. In this context, methods based on Second Order Blind Identification (SOBI) have shown significant improvement over ICA. However, traditional SOBI methods suffer due to the presence of non-stationary sources such as those that occur during earthquakes and other transient excitations. In this paper, a new technique, called the Modified Cross-Correlation (MCC) method, is developed to address the problem of output-only modal identification of civil structures. The conditions in which the problem of structural system identification can be posed as a BSS problem are discussed. The simulation and experimental results in terms of identified natural frequencies, mode shapes, and damping ratios are presented to show that the MCC method achieves better performance over traditional ICA and SOBI 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 | 0.000 | 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) | 0.000 | 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