Estimating rockfall release frequency from blocks deposited in protection barriers, growth disturbances in trees, and trajectory simulations

Farvacque, Manon; Corona, Christophe; Lopez-Saez, Jérôme; Mainieri, Robin; Stoffel, Markus; Bourrier, Franck; Eckert, Nicolas; Toe, David

doi:10.1007/s10346-021-01719-0

Cited by 5 publications

(3 citation statements)

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“…The current research methods related to the characteristics of rockfall movement mainly include theoretical derivation [4], model experiments [5][6][7][8], numerical simulations [9][10][11][12], and mathematical probability models for data analysis and statistics of historical rock collapse events [13][14][15]. Theoretical derivation typically relies on kinematic principles and contact mechanics to derive the trajectory of a falling rock.…”

Section: Introductionmentioning

confidence: 99%

“…Cui et al [17] established a model for the oblique throwing and impact of falling rocks, allowing for the calculation of movement distance and impact force. Yang et al [18] considered the influence of the rotational inertia of rockfalls, dividing the motion The current research methods related to the characteristics of rockfall movement mainly include theoretical derivation [4], model experiments [5][6][7][8], numerical simulations [9][10][11][12], and mathematical probability models for data analysis and statistics of historical rock collapse events [13][14][15]. Theoretical derivation typically relies on kinematic principles and contact mechanics to derive the trajectory of a falling rock.…”

Section: Introductionmentioning

confidence: 99%

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Model Test Study on Rock Rolling Characteristics

Hu,

Sun,

Liu

et al. 2024

Applied Sciences

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In order to study the influence of falling rock shapes on their rolling characteristics and to determine the optimization of falling rock protection design, a series of research experiments were conducted. Model experiments were designed to explore the rolling characteristics of rockfalls with different shapes. Based on the experimental results, it was found that the slenderness ratio, center of gravity, and rotational inertia of the rockfalls can affect their rolling characteristics, leading to swaying and changing the rolling axis during the rolling process, thereby affecting their rolling speed. Building upon these findings, an analysis of the formation mechanism of rolling resistance was conducted. It was determined that the primary cause of energy loss was the rolling resistance arm formed with the rolling surface during rockfall motion. A shape parameter was proposed to quantify the rolling resistance. These parameters were incorporated into a kinematic formula that considered the influence of rockfall shape, slope, and slope roughness on the rolling speed. Combined with the offset and initial position of the rockfall, the formula could be used to calculate the rolling speed and impact energy in the rolling region at any position in the region. The calculation formula was validated using model experimental data, and the results showed that the error between the experimental and calculated values was small. The error was corrected based on the experimental data. After on-site testing and verification, it could provide reference for the management of rockfall disasters.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model Test Study on Rock Rolling Characteristics

Hu,

Sun,

Liu

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Other approaches are based on the analysis of remotely sensed data (e.g., Guerin et al, 2014;van Veen et al, 2018;Umili et al, 2020) or dendrogeomorphological analyses (Mainieri et al, 2019;Stoffel et al, 2005). Farvacque et al (2021) proposed a method to estimate rockfall release frequency combining field-based data from rockfall protection barriers and tree-ring records of past rockfall activity with process-based modeling approaches. They found a good agreement between release frequencies determined from tree-ring analyses and obtained from rock deposits in the protection barriers.…”

Section: Introductionmentioning

confidence: 99%