Granular particle-shape heterogeneous mixtures discharging through a silo

2021 ◽  
Vol 912 ◽  
Author(s):  
A. Vamsi Krishna Reddy ◽  
Sonu Kumar ◽  
K. Anki Reddy

Abstract

2007 ◽  
Vol 44 (3) ◽  
pp. 284-298 ◽  
Author(s):  
Ming Xu ◽  
Chris RI Clayton ◽  
Alan G Bloodworth

Compared with conventional bridges, integral bridges have no bearings or joints between the deck and abutments and thus can significantly reduce maintenance requirements and costs over the bridge's lifetime. However, there is uncertainty about the ultimate magnitude of the lateral earth pressure behind such abutments, as they are forced to move with the deck length change caused, for example, by daily and annual variations in the effective bridge temperature. This research investigated the earth pressure that would be expected to occur behind full-height frame integral abutments backfilled by granular materials. Radial strain-controlled cyclic stress path testing has been conducted on coarse sand specimens and a glass ballotini specimen. The results suggest that for integral abutments retaining uniform coarse sand, the lateral earth pressure will experience systematic increases for almost all cyclic strain levels, eventually reaching states of stress close to both active and passive. The mechanism of the buildup of lateral stress is explored, and it appears to be associated with nonspherical granular particle shape. The implications for frame integral abutment design are discussed.Key words: integral abutments, granular, particle shape, earth pressure, stiffness.


Author(s):  
Nivedita Das ◽  
Stephen Thomas ◽  
John Kopmann ◽  
Colin Donovan ◽  
Casey Hurt ◽  
...  

2016 ◽  
Vol 22 (1) ◽  
Author(s):  
IRIMIA OANA ◽  
NEDEFF VALENTIN ◽  
PANAINTE LEHĂDUŞ MIRELA ◽  
TOMOZEI CLAUDIA

<p>The shape of granular particle from a filter layer represent a determinant factor regarding the efficiency of filtration process. In order to adequately predict the efficiency of granular filters is necessary to know the distribution of granular particle shape from filter layer. This paper presents a small study - in terms of experimental results, but laborious - in terms of sample preparation, regarding the identification of distribution by shape classes of granular particles from a filter layer. For experimental determinations have been used perlite and anthracite - two granular filter materials. It has been analyzed in terms of particle shape 1,000 particles of perlite and 1,000 particles of anthracite taken randomly from each filter layer. It has been observed that spherical particles have an average distribution for two type filter materials. </p>


2016 ◽  
Vol 22 (1) ◽  
pp. 64-71
Author(s):  
OANA IRIMIA ◽  
VALENTIN NEDEFF ◽  
MIRELA PANAINTE LEHĂDUŞ ◽  
CLAUDIA TOMOZEI

The shape of granular particle from a filter layer represent a determinant factor regarding the efficiency of filtration process. In order to adequately predict the efficiency of granular filters is necessary to know the distribution of granular particle shape from filter layer. This paper presents a small study - in terms of experimental results, but laborious - in terms of sample preparation, regarding the identification of distribution by shape classes of granular particles from a filter layer. For experimental determinations have been used perlite and anthracite - two granular filter materials. It has been analyzed in terms of particle shape 1,000 particles of perlite and 1,000 particles of anthracite taken randomly from each filter layer. It has been observed that spherical particles have an average distribution for two type filter materials.


Author(s):  
Eaton E. Lattman ◽  
Thomas D. Grant ◽  
Edward H. Snell

In this chapter we note that solution scattering data can be divided into four regions. At zero scattering angle, the scattering provides information on molecular weight of the particle in solution. Beyond that, the scattering is influenced by the radius of gyration. As the scattering angle increases, the scattering is influenced by the particle shape, and finally by the interface with the particle and the solution. There are a number of important invariants that can be calculated directly from the data including molecular mass, radius of gyration, Porod invariant, particle volume, maximum particle dimension, particle surface area, correlation length, and volume of correlation. The meaning of these is described in turn along with their mathematical derivations.


Sign in / Sign up

Export Citation Format

Share Document