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June 12, 2025

A stress memory effect in olivine at upper mantle pressures and temperatures

Subducting slab and intermediate earthquakes underneath Honshu island. Credit: Tomohiro Ohuchi, Ehime University
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Subducting slab and intermediate earthquakes underneath Honshu island. Credit: Tomohiro Ohuchi, Ehime University

The Kaiser effect, which is known as a stress memory effect, predicts that seismic events occur only when the previous maximum stress is exceeded. Therefore, the Kaiser effect has been applied for the estimation of the magnitude of "in situ" stress on crustal rocks in the community of geotechnical engineering (including forecasting earthquakes).

Geodetic observations have revealed that the time dependency of seismicity synchronized with inflation/deflation of a volcano is well explained by the Kaiser effect. However, the Kaiser effect has only been tested at room temperature in laboratories.

Researchers from Ehime University performed deformation experiments on natural olivine at high pressures and via a state-of-the-art technology large-volume deformation apparatus combined with a microseismicity monitoring technique.

They successfully confirmed a stress memory effect (corresponding to the Kaiser effect in a broad meaning) in strongly deformed at high pressures and high temperatures. The observed memory effect could be effective in the seismic zones of subducting slabs.

The findings are in the journal Geophysical Research Letters.

More information: T. Ohuchi et al, A Stress Memory Effect in Olivine at Upper Mantle Pressures and Temperatures, Geophysical Research Letters (2025).

Journal information: Geophysical Research Letters

Provided by Ehime University

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A stress memory effect analogous to the Kaiser effect was confirmed in olivine under upper mantle pressures and temperatures. This effect, previously observed only at room temperature, suggests that olivine retains a record of maximum past stress, which may influence seismicity in subducting slab regions.

This summary was automatically generated using LLM.