Factors Influencing the Seismic Collapse of Stratified Steep Cliffs Based on Analytic Hierarchy Process (AHP)

Rockfalls from stratified unstable rock masses on cliffs present a significant geological hazard. This study investigates their seismic failure mechanisms and quantifies the influence of key controlling factors through an integrated approach of shaking table tests and UDEC numerical simulations. The introduction of a displacement angle precisely defined failure initiation, with tests revealing that the collapse angle exhibited a strong positive correlation with block size. Numerical simulations on seven factors showed that the collapse displacement angle ranged from 9° to 21°, primarily controlled by joint spacing. The Analytic Hierarchy Process (AHP) quantified the factor priorities, identifying the degree of rock mass fragmentation as the most influential factor with a weight of 0.278, followed by seismic amplitude (0.222) and cliff slope angle (0.167). The results provide a quantitative basis for designing early-warning systems using displacement angle thresholds and prioritize targeted mitigation strategies for the most critical factors in seismic-prone regions.

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Publication Details

Journal
Applied Sciences
Published
2025-11-25
DOI
https://doi.org/10.3390/app152312485
Primary Topic
Landslides and related hazards
Type
article
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article

Factors Influencing the Seismic Collapse of Stratified Steep Cliffs Based on Analytic Hierarchy Process (AHP)

Jili Qu, Peng Zhang, Rui-Ming Liu, Naman Maimaiti
Applied Sciences
Landslides and related hazards
article

Factors Influencing the Seismic Collapse of Stratified Steep Cliffs Based on Analytic Hierarchy Process (AHP)

Jili Qu, Peng Zhang, Rui-Ming Liu, Naman Maimaiti
article en

Abstract

Rockfalls from stratified unstable rock masses on cliffs present a significant geological hazard. This study investigates their seismic failure mechanisms and quantifies the influence of key controlling factors through an integrated approach of shaking table tests and UDEC numerical simulations. The introduction of a displacement angle precisely defined failure initiation, with tests revealing that the collapse angle exhibited a strong positive correlation with block size. Numerical simulations on seven factors showed that the collapse displacement angle ranged from 9° to 21°, primarily controlled by joint spacing. The Analytic Hierarchy Process (AHP) quantified the factor priorities, identifying the degree of rock mass fragmentation as the most influential factor with a weight of 0.278, followed by seismic amplitude (0.222) and cliff slope angle (0.167). The results provide a quantitative basis for designing early-warning systems using displacement angle thresholds and prioritize targeted mitigation strategies for the most critical factors in seismic-prone regions.

Applied SciencesVol. 15(23)
Nanjing Tech University (CN), Kashi University (CN)
Openalex Percentile: Top 53%
Landslides and related hazards
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