Finite element model calibration in the context of limited data and limited access: A case study from a large landslide in southern Peru

Graber A.; Santi P.; Radach K.; Meza Arestegui P.; Chacon Arcaya S. · 54th U.S. Rock Mechanics/Geomechanics Symposium (2020)

Resumen

Finite element numerical modeling is an important tool for evaluating the stability of weak rock slopes, but developing a model requires a substantial amount of data to constrain slope geometry and material behavior. When proprietary data are unavailable, publicly available data can help fill the knowledge gaps for some parameters. However, these data are not consistently available for all locations. In addition, field data can be difficult or impossible to collect because of danger from actively-moving landslides. In the case of the Zarzal Landslide, Southern Peru, both of these data-limiting factors are at play. Basic geologic and topographic data for the region are available, but detailed information on soil thicknesses, rock strengths, and groundwater elevations are not. Active, slow movement in the slide mass and rockfall at the head scarp make new on-site data collection both difficult and hazardous. In this study, we present our methods for overcoming these data availability challenges, followed by discussion of model parameter back-calculation using pre-slide topography. Finally, we discuss insights into the kinematics of the Zarzal Landslide gained from pre- and post-slide models, as well as general principles for model calibration and interpretation when using limited data.

Instituciones: Universidad Nacional de San Agustín de Arequipa