Publication | Open Access
Using a discrete element approach to model lava dome emplacement and collapse
49
Citations
82
References
2018
Year
VolcanologyEngineeringVolcanismLava Dome CollapsesMechanical EngineeringComputational MechanicsGeological ModelingCrustal DeformationPhysical ModelingNumerical SimulationModeling And SimulationVolcanic ProcessGeometric ModelingDiscrete Element ApproachLava DomeLava Dome EmplacementLava Dome GrowthGeologyEngineering GeologyTectonicsFinite Element MethodStructural GeologyNatural SciencesCivil EngineeringGeomechanicsIgneous ProcessPyroclastic FlowMultiscale Modeling
Lava dome collapses can lead to explosive activity and pyroclastic flow generation which makes them one of the most deadly consequences of volcanic activity. The mechanisms linked to a collapse are however still poorly understood and very few numerical models exist that investigate the actual collapse of a lava dome after emplacement. We use a discrete element method implemented in the modelling software Particle Flow Code to investigate lava dome growth, but also go further to test the stability of the dome under the following conditions: increased internal pressure; switch in extrusion direction caused by partial cooling of the dome; and extrusion of lava onto variable underlying topography. We initially show the morphology development of a growing lava dome, and how the rheological boundary between core and talus evolves throughout the lifetime of a dome and with varied solidus pressures. Through visualisation of strain accumulation within the lava dome we show superficial rockfall development due to interaction with topography, whereas large deep-seated failures occur when the dome is exposed to internal overpressures. We find that a switch in extrusion direction promotes a transition from endogenous to exogenous dome growth and leads to lava lobe formation. We demonstrate that lava dome collapse exhibits many features similar to common landslides and by investigating strain patterns within the dome, we can use numerical modelling to understand features that elude field observations.
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