Particle Model for Simulating Flow over Large Areas

On the basis of traditional particle-in-cell methods, a particle model has been developed to simulate flow over large areas. Under the assumption that the fluid medium is an assembly of many small, independent fluid particles, the momentum equation for a particle is derived for shallow-flow conditio...

Full description

Saved in:
Bibliographic Details
Published inJournal of hydraulic engineering (New York, N.Y.) Vol. 124; no. 5; pp. 554 - 557
Main Authors Wang, Guangqian, Shao, Songdong, Fei, Xiangjun
Format Journal Article
LanguageEnglish
Published Reston, VA American Society of Civil Engineers 01.05.1998
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:On the basis of traditional particle-in-cell methods, a particle model has been developed to simulate flow over large areas. Under the assumption that the fluid medium is an assembly of many small, independent fluid particles, the momentum equation for a particle is derived for shallow-flow conditions. In the formulation used, only two forces are involved. One is the hydrostatic force arising from the accumulation of different numbers of particles at different locations. The other is a friction force that varies inversely with flow depth and quadratically with particle velocity and bed roughness. The velocity and spatial positions of all particles are averaged at fixed grid points to obtain the overall flow behavior. The particle model is demonstrated through an application to a documented 1954 flood in the Jingjiang River flood diversion area in Hubei, China. The flood lasted 300 h, with the total discharge volume being 4 billion m3. Good agreement between computed and observed water levels was obtained. Convergence of the method is demonstrated by repeatedly doubling the number of particles employed in the computation until there is little change between simulations.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:0733-9429
1943-7900
DOI:10.1061/(ASCE)0733-9429(1998)124:5(554)