Particle Deposition Analysis Using DPM-DEM
Erosion; Numerical methods; Coastal erosion; DEM; Discrete elements method; Discrete particle method-discrete element method; Discrete particle methods; DPM; Initial state; Particles depositions; Sand formations; Shoreline structures; Finite difference method
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Springer Science and Business Media Deutschland GmbH
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-27299 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-272992023-05-29T17:42:20Z Particle Deposition Analysis Using DPM-DEM A. Aziz N. Zawawi M.H. Zahari N.M. Mazlan A. Abas A. Azman A. Nashrudin M.N. 57337063800 39162217600 54891672300 57220005467 56893346700 57210094312 57192872358 Erosion; Numerical methods; Coastal erosion; DEM; Discrete elements method; Discrete particle method-discrete element method; Discrete particle methods; DPM; Initial state; Particles depositions; Sand formations; Shoreline structures; Finite difference method Coastal erosion may be a common phenomenon that occurs on a worldwide site of coastal banks. The effect of regular strengths, such as wind and waves, can alter the shoreline structure and rapid coastal erosion. Eventually, this study is focused on performing a numerical study on sediment scouring by using the discrete particle method-discrete element method (DPM-DEM). The numerical study showed that the number of particles changes as time increases due to the generation of waves. Besides, this study will determine the most critical division as the number of particles starts to change from its initial state. It is also noticed that the lengthening of time would generally boost the number of particles erode and transform the sand formation that will lead to erosion. The findings have been validated with the smooth particle hydrodynamics method to investigate the effectiveness and accuracy of the numerical analysis of DPM-DEM. Based on the findings, Division A is the most critical division since the particle on that division is eroded due to the waves� behaviors. � 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Final 2023-05-29T09:42:19Z 2023-05-29T09:42:19Z 2022 Conference Paper 10.1007/978-981-16-5543-2_35 2-s2.0-85119013561 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119013561&doi=10.1007%2f978-981-16-5543-2_35&partnerID=40&md5=f7110fabd9a1adf551c0a5a9173594de https://irepository.uniten.edu.my/handle/123456789/27299 183 433 443 Springer Science and Business Media Deutschland GmbH Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Erosion; Numerical methods; Coastal erosion; DEM; Discrete elements method; Discrete particle method-discrete element method; Discrete particle methods; DPM; Initial state; Particles depositions; Sand formations; Shoreline structures; Finite difference method |
| author2 |
57337063800 |
| author_facet |
57337063800 A. Aziz N. Zawawi M.H. Zahari N.M. Mazlan A. Abas A. Azman A. Nashrudin M.N. |
| format |
Conference Paper |
| author |
A. Aziz N. Zawawi M.H. Zahari N.M. Mazlan A. Abas A. Azman A. Nashrudin M.N. |
| spellingShingle |
A. Aziz N. Zawawi M.H. Zahari N.M. Mazlan A. Abas A. Azman A. Nashrudin M.N. Particle Deposition Analysis Using DPM-DEM |
| author_sort |
A. Aziz N. |
| title |
Particle Deposition Analysis Using DPM-DEM |
| title_short |
Particle Deposition Analysis Using DPM-DEM |
| title_full |
Particle Deposition Analysis Using DPM-DEM |
| title_fullStr |
Particle Deposition Analysis Using DPM-DEM |
| title_full_unstemmed |
Particle Deposition Analysis Using DPM-DEM |
| title_sort |
particle deposition analysis using dpm-dem |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| publishDate |
2023 |
| _version_ |
1806426569973956608 |
| score |
13.222552 |