2018
DOI: 10.1002/2017gc007174
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Three‐Dimensional Failure Patterns Around an Inflating Magmatic Chamber

Abstract: Bedrock failure around an inflating magma chamber is an important factor that controls the occurrence of volcanic eruptions. Here, we employ 3‐D numerical models of elasto‐plastic shear failure around an inflating crustal reservoir, to study how the induced failure patterns depend on the geometry of the chamber, on the host rock strength and on the gravitational field. Our simulations show that either localized or diffuse plastic failure domains develop in 3 stages. Failure initiates (stage 1) after a critical… Show more

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Cited by 32 publications
(39 citation statements)
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References 82 publications
(209 reference statements)
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“…In low-strength material, displacement of the overburden occurs mainly as uplift as strain localizes within a conical ring fault that propagates from the lateral edges of the cryptodome toward the surface (Figures 5, 9; Supplementary Material). This process is well-known both in laboratory and numerical models (Marti et al, 1994;Gudmundsson, 2007;Gerbault et al, 2018). In medium-strength material, the intrusion propagates laterally in a horizontal disk shape, until it reaches a critical diameter (Haug et al, 2018) and a conical mixed-mode ring fracture with a dominant openingmode component nucleates in the overburden (Figures 6, 10).…”
Section: Contributions Of Ct: Intrusion Development and Magma Propagamentioning
confidence: 73%
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“…In low-strength material, displacement of the overburden occurs mainly as uplift as strain localizes within a conical ring fault that propagates from the lateral edges of the cryptodome toward the surface (Figures 5, 9; Supplementary Material). This process is well-known both in laboratory and numerical models (Marti et al, 1994;Gudmundsson, 2007;Gerbault et al, 2018). In medium-strength material, the intrusion propagates laterally in a horizontal disk shape, until it reaches a critical diameter (Haug et al, 2018) and a conical mixed-mode ring fracture with a dominant openingmode component nucleates in the overburden (Figures 6, 10).…”
Section: Contributions Of Ct: Intrusion Development and Magma Propagamentioning
confidence: 73%
“…In medium-strength material, the intrusion propagates laterally in a horizontal disk shape, until it reaches a critical diameter (Haug et al, 2018) and a conical mixed-mode ring fracture with a dominant openingmode component nucleates in the overburden (Figures 6, 10). The observed opening-mode dominance is remarkable, because shear failure is predicted to dominate ring fault initiation in numerical models (Gerbault et al, 2018) and laboratory models using silica flour (Abdelmalak et al, 2012;Guldstrand et al, 2018). In high-strength material, displacement of the overburden is directed both upward and outward with strain localized around and ahead of the propagating dike tip and along the dike walls (Figures 7, 11).…”
Section: Contributions Of Ct: Intrusion Development and Magma Propagamentioning
confidence: 95%
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“…Mechanical indicators of LEFM, such as tapered intrusion fronts and cavities, were found in some cases in association with dike opening profiles that depart from the parabolic shape expected in elastic materials (Daniels et al, 2012;Vachon & Hieronymus, 2017) and blunt intrusion tips and shear-mode fractures. The dominant two-dimensional nature of outcrops and numerical models, including in this study, further hinders a better understanding of such complexities of the 3-D propagation process (e.g., Gerbault et al, 2018;Poppe et al, 2019;Stephens et al, 2017).…”
Section: Magma Emplacement Modelsmentioning
confidence: 99%
“…Numerical volcano models provide important evaluations of ground deformation signals using stress calculations and failure predictions, which are essential to give insight into the dynamic evolution of magma systems (e.g., Albino et al, ; Gerbault et al, , ; Gregg et al, , ; Grosfils, ; Hickey & Gottsmann, ; Hickey et al, ). Furthermore, the recent development of sequential data assimilation approaches provides near‐real‐time estimates of overpressure and stress state of magmatic systems, which is a promising step toward forecasting volcanic unrest with advanced observations (e.g., Albright et al, ; Bato et al, , ; Gregg et al, ; Gregg & Pettijohn, ; Zhan et al, ; Zhan & Gregg, ).…”
Section: Introductionmentioning
confidence: 99%