Synthetic benchmarking of concentrated pyroclastic current models

نویسندگان

چکیده

Validation and benchmarking of pyroclastic current (PC) models is required to evaluate their performance reliability for hazard assessment. Here, we present results a initiative built four commonly used assess concentrated PC hazard: SHALTOP, TITAN2D, VolcFlow, IMEX_SfloW2D. The benchmark focuses on the simulation channelized flows with similar source conditions over five different synthetic channel geometries: (1) flat incline plane, (2) sharp 45° bend, (3) straight break-in-slope, (4) an obstacle, (5) constriction. Several outputs from 60 simulations using three initial volume fluxes were investigated when simulating valley-confined kinematics, including overflows induced by topographic changes. Quantification differences obtained between model at t = 100 s allowed us identify issues Voellmy-Salm implementation TITAN2D small discrepancies other codes that are either due various curvature velocity formulations and/or numerical frameworks. Benchmark also in agreement field observations natural PCs: sudden change geometries combined high-volume flux key generate overflows. benchmarks proved be useful evaluating performance, needed overarching goal provide interpretation framework volcanic mass flow assessment studies geoscience community.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Current Trends in Middleware Benchmarking

The paper provides a brief overview of the state of the art in middleware benchmarking. The overview is used to highlight some of the outstanding issues in the area, specifically the issues related to implementing, running and evaluating regression benchmarks. The issues are analysed in depth and the course of our work towards resolving them is presented.

متن کامل

Benchmarking Decoupled Neural Interfaces with Synthetic Gradients

Artifical Neural Network are a particular class of learning system modeled after biological neural functions with an interesting penchant for Hebbian learning, that is "neurons that fire together, wire together". However, unlike their natural counterparts, artificial neural networks have a close and stringent coupling between the modules of neurons in the network. This coupling or locking impos...

متن کامل

Toxicity of Nanoparticles and an Overview of Current Experimental Models

Nanotechnology is a rapidly growing field having potential applications in many areas. Nanoparticles (NPs) have been studied for cell toxicity, immunotoxicity, and genotoxicity. Tetrazolium-based assays such as MTT, MTS, and WST-1 are used to determine cell viability. Cell inflammatory response induced by NPs is checked by measuring inflammatory biomarkers, such as IL-8, IL-6, and tumor necrosi...

متن کامل

Validation of Eddy Current Loss Models for Permanent Magnet Machines with Concentrated Windings

Acknowledgement Thanks to my parents. Without your spiritual and financial supports, I could not have got the chance to study in the Netherlands and finish my master programme at TU Delft. I feel very sorry that you must have been feeling alone without the only child at home. Thank you all the time for your understanding. Thanks to my supervisor Dr. Henk Polinder. You have given me great help a...

متن کامل

Limitations and Constraints of Eddy-Current Loss Models for IPM Motors with Fractional-Slot Concentrated Windings

This paper analyzes and compares models for predicting average magnet losses in interior permanent-magnet motors with fractional-slot concentrated windings due to harmonics in the armature reaction (assuming sinusoidal phase currents). Particularly, loss models adopting different formulations and solutions to the Helmholtz equation to solve for the eddy currents are compared to a simpler model ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bulletin of Volcanology

سال: 2021

ISSN: ['0258-8900', '1432-0819']

DOI: https://doi.org/10.1007/s00445-021-01491-y