Attenuator systems — an old method to deviate rocks but a new testing method for developing a design concept
Bibliographic record
Abstract
Rockfall attenuator systems, also known as hybrid rockfall barriers or hanging nets, are a widely applied rockfall mitigation method. Although they are conceptually a straight forward design, to–date, a definitive design guide remains elusive. Among some of the first testing of these systems e.g. Glover et al. 2012, a boarder understanding of the key mechanics, with which they function, has been attained. For example, the process of deflecting rocks to increased ground contact and catching and tangling of the rocks in the attenuator systems has been observed. Nonetheless, these observations remain to be quantified in detail, so they could be developed into a design guide. Addressing this need, a joint testing program is being carried out by Wyllie & Norrish Rock Engineers Ltd. and Geobrugg North America, to measure and validate the performance of rockfall attenuator systems. The preliminary stages of full-scale testing have been conducted at the Nicolum Quarry in Hope, British Columbia, Canada. Tests were conducted using natural rocks of different sizes, <0.5 m³, and steel reinforced concrete cubes, with dimensions of 0.42 and 1.0 m³, dropped into a slope, with a height potential of 60 m, leading to impact with the attenuator netting. The preliminary tests were documented with high speed cameras and load cells measuring the forces in the support ropes. The videos were analysed to determine changes in the rock’s kinetic energy, and the deflection of the attenuator net. The objectives of the tests were to find how to optimise system designs to minimise the impact energy absorbed by the netting and support structure. The maximum impact energy achieved during the preliminary test series was in the order of 600 kJ. Following these initial tests, a second test series was performed in January 2016. Additional to the high speed video and load cell measurements, some experiments involved a novel rock motion logger integrated into the blocks centre of mass. The rock motion logger permitted the rocks accelerations and rotations to be captured during contact with the netting. For the first time, measurements of this kind have been made for attenuators and offer detailed insights into the mechanics of the attenuation process. Further work, in the development of rockfall attenuator systems, is to analyse existing systems, which have been impacted by natural rocks, gaining an estimate of their performance. Alongside these observations, the experimental data is being analysed in detail to refine a new design concept of attenuator barriers. Further results will be given in this paper.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".