2020
DOI: 10.1029/2020jb019896
|View full text |Cite
|
Sign up to set email alerts
|

Synergy of Experimental Rock Mechanics, Seismology, and Geodynamics Reveals Still Elusive Upper Mantle Rheology

Abstract: We present a novel geodynamic approach that can potentially tighten existing constraints on mantle rheology. This new approach, which we call probabilistic geodynamic modeling, is applied here to the rheology of the upper mantle. We combine the numerical modeling of plate-driven corner flow and the seismic observation of radial anisotropy, aiming to reduce substantial uncertainties associated with experimentally derived flow laws, but our results also highlight the complex competition among different deformati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 58 publications
0
6
0
Order By: Relevance
“…The absence of elasticity in our simulations, while widely adopted in many other modelling studies (Capitanio and Morra, 2012;Gerya and Meilick, 2011;Schellart, 2017;Stegman et al, 2010), is also potentially relevant for our results since it is arguably expected to influence the dynamics of plate bending in subduction systems (e.g., Capitanio and Morra, 2012;Farrington et al, 2014;Thielmann and Kaus, 2012). Also important is the uncertainty per-taining to upper mantle rheology (e.g., Jain and Korenaga, 2020;King, 2016, and references therein) that allows for a somewhat aprioristic choice of parameters, relatively to which the obtained results are expected to be sensitive. This means that a slightly different choice of mantle rheology parameters (in Equation ( 9) above) corresponding, for instance, to an increase in mantle stiffness, could potentially increase the viscous resistance to slab-pull, thus modifying the underlying governing dynamics of the system and implying considerably different results.…”
Section: Constraints Of Present Modelling Approachmentioning
confidence: 89%
“…The absence of elasticity in our simulations, while widely adopted in many other modelling studies (Capitanio and Morra, 2012;Gerya and Meilick, 2011;Schellart, 2017;Stegman et al, 2010), is also potentially relevant for our results since it is arguably expected to influence the dynamics of plate bending in subduction systems (e.g., Capitanio and Morra, 2012;Farrington et al, 2014;Thielmann and Kaus, 2012). Also important is the uncertainty per-taining to upper mantle rheology (e.g., Jain and Korenaga, 2020;King, 2016, and references therein) that allows for a somewhat aprioristic choice of parameters, relatively to which the obtained results are expected to be sensitive. This means that a slightly different choice of mantle rheology parameters (in Equation ( 9) above) corresponding, for instance, to an increase in mantle stiffness, could potentially increase the viscous resistance to slab-pull, thus modifying the underlying governing dynamics of the system and implying considerably different results.…”
Section: Constraints Of Present Modelling Approachmentioning
confidence: 89%
“…Because lithosphere rheology is generally poorly known, inverse approaches that combine geodynamic modeling with observations are useful (Jain & Korenaga, 2020). For example, a suite of geodynamic models allowing large rheological variations can attempt to reproduce geophysical observations, and the narrower set of models that satisfy observational constraints can be used to further constrain the rheology of the lithosphere (Jain & Korenaga, 2020). Lithospheric dripping provides a target for such modeling in locations where the timing of drip initiation and detachment are well‐constrained (e.g., Molnar & Garzione, 2007; Molnar & Jones, 2004).…”
Section: Discussionmentioning
confidence: 99%
“…The flow law for dislocation creep (e.g., Hirth & Kohlstedt, 2003) is given by: trueε˙dis=Adisexp(Edis+PVdisRT)σn where ε̇ dis is strain rate due to dislocation creep, A dis is a constant, E dis is the activation energy for dislocation creep, V dis is the activation volume for dislocation creep, R is the universal gas constant, T is temperature, and n is the stress exponent, which is a constant. We used values from Hirth and Kohlstedt (2003) of A dis = 1.1 × 10 5 s −1 MPa –n , E dis = 520 kJ mol −1 , V dis = 10 −6 m 3 mol −1 , R = 8.314 J mol −1 K −1 , and n = 3.5, although there is still considerable uncertainty in the olivine flow law and its parameters (Jain et al., 2019; Jain & Korenaga, 2020).…”
Section: Methodsmentioning
confidence: 99%