Abstract

A new set of thermodynamic models is presented for calculating phase relations in bulk compositions extending from peridotite to granite, from 0·001 to 70 kbar and from 650°C to peridotite liquidus temperatures, in the system K2O-Na2O-CaO-FeO-MgO-Al2O3-SiO2-H2O-TiO2-Fe2O3- Cr2O3 (KNCFMASHTOCr). The models may be used to calculate phase equilibria in partial melting of a large range of mantle and crustal compositions. They provide a good fit to experimental phase relation topologies and melt compositions across the compositional range of the model. Compared with the preliminary model of Jennings, E. S. & Holland, T. J. B. (2015) (A simple thermodynamic model for melting of peridotite in the system NCFMASOCr. Journal of Petrology 56, 869-892) for peridotite-basalt melting relations, the inclusion of K2O and TiO2 allows for better modelling of small melt fractions in peridotite melting, and in reproducing rutile-bearing eclogite melting at high pressures. An improved order-disorder model for spinel is now incorporated. Above 10 kbar pressure, wet partial melting relations may be significantly affected by the dissolution of silicates in aqueous fluid, so the set of models includes an aqueous low-density silicatebearing fluid in addition to a high-density H2O-bearing silicate melt. Oxygen fugacity may be readily calculated for the whole range of bulk compositions investigated, and the effect of water content on melt fO2 is assessed.

Highlights

  • The modelling of melting relations in rock bulk compositions is an important goal in petrology

  • Thermodynamic modellers have previously handled this problem by modelling subsets of this potential composition space, relevant to melt in a limited range of settings

  • The present study describes a simple new thermodynamic model that extends the scope and application of the Holland & Powell (2011) dataset to melting in a wide variety of rocks from peridotite to granite

Read more

Summary

Introduction

The modelling of melting relations in rock bulk compositions is an important goal in petrology. Modelling makes it possible to predict mineral þ melt assemblages at pressures, temperatures and compositions where existing experimental data must be interpolated. In the Monte Carlo simulations, filters were applied, both as temperature brackets for phase equilibrium features such as the solidus and for melt compositions expressed in terms of the end-member proportions.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call