Bibliographic record
Abstract
Collapse of transmission towers can occur due to accidental loads such as conductor breakages, failures of insulators or other components, either under every day conditions (components with marginal strengths) or under extreme conditions such as ice storms, thunderstorms, tornadoes, fires, explosions, heavy mass impacts, etc. Furthermore, the trigger of one tower collapse may cause a catastrophic cascading failure of the whole transmission line section as was observed in the 1998 ice storm in Quebec, Canada. Knowledge of the post-elastic capacity of towers is necessary to mitigate the risk of cascading failures in overhead lines. The thesis presents a detailed study of the post-elastic response of latticed towers combining advanced (highly nonlinear) finite element analysis and full-scale dynamic testing of four tower section prototypes. The lattice towers are modeled with special three-node beam elements that include nonlinear material constitutive models for post-elastic response and the geometric stiffness matrices for elements are progressively updated to account for the second order effects. The numerical models also include the effects of connection eccentricities between diagonal members and the main leg members. The numerical models have been used to plan the physical tests and for re-analysis of the models with the experimental loads as measured during the physical tests. Four full-scale transmission tower model sections were built and tested under different load scenarios to verify the results from the numerical analysis. The salient conclusions of the research as follows: The research demonstrates that it is possible to use post-elastic analysis to accurately predict the reserve strength of bolted lattice towers provided connection eccentricities are properly modeled at peaks or cross arms loading points and in diagonals connected only on one leg. Both the numerical model and experimental results indicate significant post-elastic reserve strength of the tower section. In the tower prototypes tested in this research, the post-elastic reserve strength was 1.22 for flexure-torsion (i.e. tower under longitudinal loading) governed by diagonals, and 1.37 for bending (i.e. tower in transverse loading) governed by inelastic buckling of the main legs. Diagonal members affect the failure modes of transmission towers and their connection design may be a weak link in the development of their post-elastic capacity. Diagonal members connected on one leg only are subject to biaxial bending, they cannot develop the full strength of their cross section since the unconnected leg takes much less stress on its entire length. Accurate pushover post-elastic analysis is an essential design tool to ensure that the tower capacity is adequate and that failure modes are safe, i.e. not leading to progressive collapse. With appropriate training, such analysis is feasible in a design office. Observations from physical tests, confirmed by numerical simulations, suggest that failure modes under pushover static and dynamic pulse loading are similar. The ultimate loads sustained by the prototypes in the dynamic tests are higher than their static counterparts (162kN vs. 126kN in bending, and 57kN vs. 51.2kN in flexure-torsion); this can be explained by the strain rate effects, which were particularly large in the bending test due to a mass dropping height of 6 m.
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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 | 0.000 |
| 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) | 0.001 | 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".