Project Overview
Precariously balanced rocks (PBRs) are fragile geological features that provide unique constraints on ground motion intensity and frequency content of past earthquakes. This project investigates the dynamics of PBRs at Centennial Bluffs using cutting-edge autonomous mapping technologies and physics engine simulations to understand how earthquakes impact different large-scale distributions of these critical geological markers.
Research Objectives
- Develop autonomous UAV mapping systems for comprehensive PBR documentation
- Create physics-based simulation models to predict PBR response to ground motion
- Establish fragility curves for different PBR geometries and compositions
- Constrain maximum ground motion intensities in the study region
- Improve probabilistic seismic hazard assessments using PBR evidence
Methodology
Our approach combines field observations with advanced computational modeling:
- Autonomous Mapping: High-resolution photogrammetry and LiDAR surveys using UAVs
- Physics Simulations: Discrete element modeling of PBR dynamics under seismic loading
- Fragility Analysis: Statistical analysis of failure probabilities across PBR populations
- Hazard Integration: Incorporation of PBR constraints into regional hazard models
Study Area
Centennial Bluffs, located in the Southern California region, hosts a remarkable collection of precariously balanced rocks that have survived thousands of years of seismic activity. This natural laboratory provides an exceptional opportunity to study the relationship between ground motion characteristics and geological fragility.
Expected Outcomes
- Enhanced understanding of PBR survival mechanisms during earthquakes
- Improved constraints on maximum credible ground motions
- Advanced autonomous mapping protocols for geological hazard assessment
- Physics-based tools for evaluating seismic resilience of fragile geological features
- Contributions to regional seismic hazard mitigation strategies
Collaborators & Funding
This research is conducted in collaboration with the California Institute of Technology and the U.S. Geological Survey, with support from NSF and other federal funding agencies.