Analysis of the Effects of Anchorage Failure on the Stability of a Mast Climber System
Bibliographic record
Abstract
Mast climbing work platforms (MCWPs) have been widely used at construction sites in the United States since the 1980s.The purpose of the current study is to analyze the effects of a failure of an anchorage on the structural stability of a mast climber system using the finite element (FE) method.The FE models were constructed using commercial software (ABAQUS) and based on representative set-ups of anchored MCWPs as specified in the manufacturers' manuals.The simulated MCWP has three anchorages, and one is assumed to fail.The consequences of an anchorage failure were evaluated numerically.Our results show that the failure of an anchorage caused loading redistributions among the remaining anchorages.Although the reaction forces and moments in the supporting feet for the remaining anchorages increased slightly due to the failure of an anchorage, the structure stiffness decreased remarkably due to the anchorage failure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".