2003
DOI: 10.1016/s0191-8141(02)00021-4
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Are the solutions of stress inversion correct? Visualization of their reliability and the separation of stresses from heterogeneous fault-slip data

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Cited by 52 publications
(18 citation statements)
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“…The technique identifies paleostresses from heterogeneous fault slip data in the absence of any a priori information on the stresses themselves or on the faults. The details of the technique are described by Yamaji [2000a, 2000b, 2003] and examples of applications to real field cases are given by, e.g., Yamaji [2000b] and Yamada and Yamaji [2002]. The MIM software was also used to verify, by means of unsupervised procedures, the validity of stress inversion computations obtained in this study through the subjective sorting of the total fault slip data set.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The technique identifies paleostresses from heterogeneous fault slip data in the absence of any a priori information on the stresses themselves or on the faults. The details of the technique are described by Yamaji [2000a, 2000b, 2003] and examples of applications to real field cases are given by, e.g., Yamaji [2000b] and Yamada and Yamaji [2002]. The MIM software was also used to verify, by means of unsupervised procedures, the validity of stress inversion computations obtained in this study through the subjective sorting of the total fault slip data set.…”
Section: Methodsmentioning
confidence: 99%
“…Results of the multi‐inversion method of Yamaji [2003] run on a data set containing (top) the steep strike‐slip fractures of sets I and II and (bottom) the same with the addition of top‐to‐the‐north, NW thrusts. Results from the direct inversion and PBT methods applied separately to the two data sets are confirmed, with two distinct shortening episodes oriented NNW‐SSE and NNE‐SSW, respectively.…”
Section: Stress Inversion From Field‐derived Fault Slip Datamentioning
confidence: 99%
“…Paleostress analyses highlighted that the separation of a heterogeneous dataset into spatially and temporally homogeneous subsets is fundamental to avoid artefacts in stress solutions: such computed solutions can only represent a compromise between different homogeneous subsets and hence are inconsistent with the actual stress field (e.g., Célérier et al, 2012). Automatic and interactive separations to obtain homogeneous subsets have been performed for paleostresses (e.g., Armijo and Cisternas, 1978;Angelier, 1979;Angelier and Manoussis, 1980;Etchecopar et al, 1981;Etchecopar, 1984;Mercier and Carey-Gailhardis, 1989;Yamaji, 2000Yamaji, , 2003. However, such automatic methods may give rise to serious artefacts (Angelier, 1984;Lisle and Vandycke, 1996;Delvaux and Sperner, 2003;Liesa and Lisle, 2004;Sperner and Zweigel, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…Numerical inversion analysis yields the relative magnitudes and orientations of the three principal stress axes σ1, σ2, and σ3, with σ1 ≥ σ2 ≥ σ3 (compressional stress considered as positive), as well as the Φ ratio between differential stress magnitudes (Φ = (σ2 -σ3)/(σ1 -σ3); 0 ≤ Φ ≤ 1). For further discussion on the method of determining paleostress orientations using fault-slip data, the reader is referred to Carey and Brunier (1974), Etchecopar et al (1981), Angelier (1989Angelier ( , 1989Angelier ( , 1994, Guiraud et al (1989), Dupin et al (1993), and Yamaji (2003).…”
Section: Methods Of Paleostress Reconstructionmentioning
confidence: 99%