Optimised curved hoppers with maximum mass discharge rate – an experimental study

2021 ◽  
Vol 377 ◽  
pp. 350-360 ◽  
Author(s):  
Xingjian Huang ◽  
Qijun Zheng ◽  
Aibing Yu ◽  
Wenyi Yan
2012 ◽  
Vol 225 ◽  
pp. 214-220 ◽  
Author(s):  
R.O. Uñac ◽  
A.M. Vidales ◽  
O.A. Benegas ◽  
I. Ippolito

2019 ◽  
Vol 14 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Fukashi Maeno ◽  
Setsuya Nakada ◽  
Mitsuhiro Yoshimoto ◽  
Taketo Shimano ◽  
Natsumi Hokanishi ◽  
...  

Kelud Volcano is among the most active volcanoes in Indonesia, with repeated explosive eruptions throughout its history. Here, we reconstructed the relationship between the repose period and the cumulative volume of erupted material over the past 100 years and estimated the long-term magma discharge rate and future eruptive potential and hazards. Tephra data and eruption sequences described in historical documents were used to estimate the volume and mass discharge rate. The volumes of the 1901, 1919, 1951, 1966, 1990, and 2014 eruptions were estimated as 51–296 × 106m3. The mass discharge rates were estimated to be on the order of 107kg/s for the 1919, 1951, and 2014 eruptions and the order of 106kg/s for the 1966 and 1990 eruptions. Based on a linear relationship between the repose period and cumulative erupted mass, the long-term mass discharge rate was estimated as ∼ 1.5 × 1010kg/year, explaining the features of the larger eruptions (1919, 1951, and 2014) but not those of the smaller eruptions (1966 and 1990). This estimate is relatively high compared to other typical basaltic-andesitic subduction-zone volcanoes. This result provides important insights into the evolution of magmatic systems and prediction of future eruptions at Kelud Volcano.


2013 ◽  
Vol 52 (41) ◽  
pp. 14525-14532
Author(s):  
Sandip Bhowmick ◽  
Neetu A. Baveja ◽  
Gaurav Varshney ◽  
Deepa Thomas ◽  
C. P. Shringi ◽  
...  

2011 ◽  
Vol 14 (3) ◽  
pp. 28-32
Author(s):  
Hyun-Seok Sin ◽  
Soon-Seok Byun ◽  
Sang-Jin Tae ◽  
Je-Myung Moon ◽  
Youn-Jea Kim

1999 ◽  
Vol 104 (B12) ◽  
pp. 29387-29400 ◽  
Author(s):  
Emily E. Brodsky ◽  
Hiroo Kanamori ◽  
Bradford Sturtevant

Particuology ◽  
2021 ◽  
Author(s):  
Quan Chen ◽  
Ran Li ◽  
Wengzheng Xiu ◽  
Vladimir Zivkovic ◽  
Hui Yang

2016 ◽  
Vol 121 (8) ◽  
pp. 5679-5695 ◽  
Author(s):  
Gianfranco Vulpiani ◽  
Maurizio Ripepe ◽  
Sebastien Valade

Author(s):  
Conlain Kelly ◽  
Nicholas Olsen ◽  
Dan Negrut

Abstract This study describes the implementation of a granular dynamics solver designed to run on Graphics Processing Units (GPUs). The discussion concentrates on how the Discrete Element Method (DEM) has been mapped onto the GPU architecture, the software design decisions involved in the process, and the optimizations allowed by those decisions. This solver, called Chrono::Granular, has been developed as a standalone library that can interface with other dynamics engines via triangle mesh co-simulation. A scaling analysis of the code presented herein demonstrates linear scaling with problem sizes of over two billion degrees of freedom and closing in on one billion bodies. We conclude with a study of hourglass (or hopper) mass discharge rate which compares the solver to experimental results and investigates a process for determining empirical coefficients of flow rate through simulation.


Sign in / Sign up

Export Citation Format

Share Document