Quantifying Localized and Delocalized Rock Deformation in Multi‐Stage Relaxation Experiments Using Distributed Optical Fiber Sensing

Abstract Multi‐stage uniaxial and triaxial stress relaxation tests were performed on Weschnitz granodiorite, Beishan granite, and Jinping dolomite marble to investigate the deformation evolution before system‐size failure, and to study stress relaxation responses. Optical fiber sensing was used to measure distributed strain for full‐field strain reconstruction across the sample surface. Strain heterogeneities due to imperfect boundary conditions are detected before and during the linear elastic deformation phase in all samples. The initial strain heterogeneity in the elastic phase is found to control the subsequent inelastic strain localization in granodiorite and granite samples. Macroscopic brittle splitting or faulting in granitic samples eventually occurs within or at the boundaries of the strain localization zones. In contrast, dolomite marble has a more homogeneous strain distribution, with increased differential stress promoting strain delocalization. The reduced axial strain rates during stress relaxation promote time‐dependent deformation mechanisms, leading to different spatial distributions of strains. Stress relaxation does not significantly change the degree of strain localization in granite, but it promotes strain delocalization in marble after the onset of dilatancy. In multi‐stage tests, inelastic strain accumulates mainly during stress relaxation in granite samples and during stress ramping in marble samples. The different strain distributions and relaxation responses between rock samples result from different deformation mechanisms: localized strain in granite results from clustered microcracking, whereas distributed strain in dolomite marble is driven by both microcracking and low‐temperature plasticity (e.g., dislocation glide). These results suggest that lithological differences may result in different precursor signals before system‐scale failure and postseismic bulk relaxation responses.

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Publication Details

Journal
Journal of Geophysical Research Solid Earth
Published
2025-04-01
DOI
https://doi.org/10.1029/2024jb029881
Citations
6
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
11.20

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article

Quantifying Localized and Delocalized Rock Deformation in Multi‐Stage Relaxation Experiments Using Distributed Optical Fiber Sensing

Yinlin Ji, Erik Rybacki, Guido Blöcher, Shuting Miao et al.
6 citations
Journal of Geophysical Research Solid Earth
Seismic Imaging and Inversion Techniques
11.20
article

Quantifying Localized and Delocalized Rock Deformation in Multi‐Stage Relaxation Experiments Using Distributed Optical Fiber Sensing

Yinlin Ji, Erik Rybacki, Guido Blöcher, Shuting Miao, Peng‐Zhi Pan, Arno Zang, Hannes Hofmann, Martin Lipus
article en
6 citations

Abstract

Abstract Multi‐stage uniaxial and triaxial stress relaxation tests were performed on Weschnitz granodiorite, Beishan granite, and Jinping dolomite marble to investigate the deformation evolution before system‐size failure, and to study stress relaxation responses. Optical fiber sensing was used to measure distributed strain for full‐field strain reconstruction across the sample surface. Strain heterogeneities due to imperfect boundary conditions are detected before and during the linear elastic deformation phase in all samples. The initial strain heterogeneity in the elastic phase is found to control the subsequent inelastic strain localization in granodiorite and granite samples. Macroscopic brittle splitting or faulting in granitic samples eventually occurs within or at the boundaries of the strain localization zones. In contrast, dolomite marble has a more homogeneous strain distribution, with increased differential stress promoting strain delocalization. The reduced axial strain rates during stress relaxation promote time‐dependent deformation mechanisms, leading to different spatial distributions of strains. Stress relaxation does not significantly change the degree of strain localization in granite, but it promotes strain delocalization in marble after the onset of dilatancy. In multi‐stage tests, inelastic strain accumulates mainly during stress relaxation in granite samples and during stress ramping in marble samples. The different strain distributions and relaxation responses between rock samples result from different deformation mechanisms: localized strain in granite results from clustered microcracking, whereas distributed strain in dolomite marble is driven by both microcracking and low‐temperature plasticity (e.g., dislocation glide). These results suggest that lithological differences may result in different precursor signals before system‐scale failure and postseismic bulk relaxation responses.

Journal of Geophysical Research Solid EarthVol. 130(4)
University of Potsdam (DE), Institute of Rock and Soil Mechanics (CN), GFZ Helmholtz Centre for Geosciences (DE), University of Chinese Academy of Sciences (CN), Technische Universität Berlin (DE), Nanjing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Seismic Imaging and Inversion Techniques
11.20
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