Predictive Displacement Models Considering the Probability of Pulse-Like Ground Motions for Earthquake-Induced Landslides Hazard Assessment

ABSTRACT

Predictive displacement models (PDMs) based on the Newmark sliding block method have been widely applied in earthquake-induced landslide hazard assessment (ELHA). Pulse-like ground motions (PLGMs) can cause significant structural damage. In this study, four PDMs that consider the probability of occurrence of PLGMs (PP) were created for strike-slip and non-strike-slip events. The results demonstrate that the model with PP has greater accuracy in non-strike-slip events than the model without PP, however, the effect of PP may be disregarded in strike-slip events. This result is applicable to the ELHA and can provide a basis for post-earthquake emergency and geological disaster mitigation.

KEYWORDS:

• Earthquake
• landslides
• permanent displacement model
• pulse-like ground motions
• Newmark sliding block method

Acknowledgments

This study was financially supported by the National Natural Science Foundation of China (41977213), The National Ten Thousand Talent Program for Young Top-notch Talents, The Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (2019QZKK0906), Sichuan Provincial Transportation Science and Technology Project (2021-A-03), China Road & Bridge Corporation (P220447). The financial supports are gratefully acknowledged.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data Availability Statement

Source data related to this article can be found at https://github.com/jingliu-Southwestjiaotong-University/Predictive-Displacement-Models.git, an open-source online data repository hosted at GitHub.

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [41977213]; The Second Tibetan Plateau Scientific Expedition and Research Program (STEP) [2019QZKK0906]; Sichuan Provincial Transportation Science and Technology Project [2021-A-03]; China Road & Bridge Corporation [P220447].