Artificial Vibration Induction for Lowering Fault Stress Threshold: A Mechanism to Prevent Large-Scale Earthquakes

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Authors: Younsang Hwang
Cited by: 0

Abstract

This study proposes a hypothesis that large-scale earthquakes can be prevented by artificially inducing vibrations to release accumulated tectonic stress at an earlier stage. Conventional seismic mitigation technologies, such as early warning systems and earthquake-resistant design, remain reactive and post-event oriented, thus limited in eliminating the fundamental risk. The present work aims to elucidate the physical mechanism by which external vibrations weaken fault-plane friction and rock cohesion, thereby lowering the threshold for stress release. To this end, strategies employing vibration control techniques—including wave superposition, resonance, and beamforming—are suggested to induce localized stress relief. Such an approach reframes earthquakes from unpredictable natural disasters into controllable physical events, offering the potential to reduce overall damage and enhance societal resilience. However, this research remains conceptual; empirical validation will require numerical simulations and small-scale artificial vibration experiments. Furthermore, the deliberate triggering of seismic activity entails social and ethical concerns, necessitating international cooperation and regulatory frameworks. I am just an ordinary individual. For a long time, I have been organizing the thoughts I have kept in my mind little by little into writing. If someone reads my work and resonates with it, that alone gives me great strength. And even a small gesture of support, like a cup of cola, becomes a truly powerful source of motivation for me. PayPal ID: edgyman@naver.com

Fields of Study & Subjects

earthquake and tectonic studies Geotechnical and Geomechanical Engineering Earthquake Detection and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Language
EN
Document type
Preprint