Groundbreaking research links fault surface contact to earthquake mechanics, offering new hope for prediction

By A Representative 

In a significant advancement that could transform earthquake science, researchers from the University of Southern California (USC) have developed a groundbreaking laboratory earthquake model. This pioneering study directly links the real contact area between fault surfaces to the mechanics of earthquake occurrences, offering a promising pathway toward enhanced earthquake prediction and early warning systems.

Published in the Proceedings of the National Academy of Sciences, the research provides a novel physical interpretation for long-standing empirical models.

“We’ve essentially opened a window into the heart of earthquake mechanics,” said Sylvain Barbot, associate professor of earth sciences at the USC Dornsife College of Letters, Arts and Sciences and principal investigator of the study. “By watching how the real contact area between fault surfaces evolves during the earthquake cycle, we can now explain both the slow buildup of stress in faults and the rapid rupture that follows. Down the road, this could lead to new approaches for monitoring and predicting earthquake nucleation at early stages.”

For decades, scientists have used empirical "rate-and-state" friction laws to model earthquake behavior. While effective, these mathematical constructs lacked direct physical interpretation. This new research changes that paradigm by revealing that the "state variable" central to these models corresponds precisely to the real area of contact – the tiny, isolated junctions where rough fault surfaces actually meet.

Using transparent acrylic materials and high-speed cameras, the USC research team captured earthquake ruptures in real-time. LED light passed through the materials allowed for visual tracking of the evolution of contact junctions during simulated quakes. These optical measurements revealed that approximately 30% of the contact area disappears in milliseconds during fast ruptures, leading to dramatic weakening and initiating an earthquake.

“We can literally watch the contact area evolve as ruptures propagate,” said Barbot. “This direct observation helps validate decades of theoretical modeling with actual, physical evidence.”

This discovery provides the first-ever physical interpretation of the mathematical state variable used in earthquake models since the 1970s, effectively bridging the gap between theoretical understanding and physical mechanism.

By analyzing 26 simulated earthquake scenarios, the researchers demonstrated that rupture speed and fracture energy closely match predictions from linear elastic fracture mechanics. The computer models accurately mirrored both fast and slow laboratory earthquakes, including stress drops and even changes in light transmission during ruptures.

Since the real contact area influences key physical properties of faults – such as electrical conductivity, hydraulic permeability, and seismic wave transmission – the findings open the door to new monitoring techniques. These physical proxies could potentially be used to observe changes in fault conditions over time, providing early warning signals of an impending quake.

“If we can monitor these properties continuously on natural faults, we might detect the early stages of earthquake nucleation,” Barbot explained. “This could lead to new approaches for monitoring earthquake nucleation at early stages, well before seismic waves are radiated.”

The next phase of research involves scaling this model beyond laboratory conditions to real-world fault zones. According to Barbot, the ultimate goal is to lay the foundation for a new generation of earthquake monitoring and early warning systems rooted in the physical evolution of fault surfaces.

“Imagine a future where we can detect subtle changes in fault conditions before an earthquake strikes,” Barbot said. “That’s the long-term potential of this work.”

In addition to Barbot, Baoning Wu, formerly at USC and now at the University of California, San Diego, co-authored the study. The study was supported by National Science Foundation award number EAR-1848192 and the Statewide California Earthquake Center proposal number 22105.