Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development
In Malaysia, the most common method of disposal is landfill/open dumping. The soil at the dumping area are mixed with waste and soil. Thus, it was called as waste soil. Due to its heterogeneity properties, waste soil has a different settlement rate because different types of waste tends to settle di...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
American Institute of Physics Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-23151 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-231512023-05-29T14:38:01Z Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development Pauzi N.I.M. Shariffuddin A.S. Omar H. Misran H. 26536518100 56820235300 7006098814 6506899840 In Malaysia, the most common method of disposal is landfill/open dumping. The soil at the dumping area are mixed with waste and soil. Thus, it was called as waste soil. Due to its heterogeneity properties, waste soil has a different settlement rate because different types of waste tends to settle differently. The Hussein and Gabr model which used empirical model was proposed to compute the long-term settlement. This Hussein and Gabr model is one of the soil settlement model that can be used to predict the long-term settlement at the dumping area. The model relates between the compression index and the time factor. The time factor are t1, t2, t3 and t4. The compression index is C?1=compression index and C? is biodegradation index. The duration for initial compression, the compression, the biological compression and time creep are included in the model. The sample of waste soil is taken from closed dumping area in Lukut, Negeri Sembilan with the height of waste approximately 1 to 3 meters. The sample is tested using consolidation test for determining the geotechnical parameters and compressibility index. Based on the Hossein and Gabr model, the predicted long-term settlement for 20 years (?H) for the waste height of 1 to 3 meters are 0.21m, 0.42m and 0.63m respectively and are below the percentages of proposed maximum settlement for waste soil which is acceptable for new development to takes place. The types of deep or shallow foundation are proposed based on the predicted settlement. The abandoned open dumping area can now be reused for the new development after the long-term settlement are predicted and some of the precaution measures has been taken as a safety measures. � 2017 Author(s). Final 2023-05-29T06:38:01Z 2023-05-29T06:38:01Z 2017 Conference Paper 10.1063/1.4993410 2-s2.0-85027445358 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027445358&doi=10.1063%2f1.4993410&partnerID=40&md5=083159f87bae8cf99a265bff41cf50fd https://irepository.uniten.edu.my/handle/123456789/23151 1865 90009 All Open Access, Green American Institute of Physics Inc. 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 |
In Malaysia, the most common method of disposal is landfill/open dumping. The soil at the dumping area are mixed with waste and soil. Thus, it was called as waste soil. Due to its heterogeneity properties, waste soil has a different settlement rate because different types of waste tends to settle differently. The Hussein and Gabr model which used empirical model was proposed to compute the long-term settlement. This Hussein and Gabr model is one of the soil settlement model that can be used to predict the long-term settlement at the dumping area. The model relates between the compression index and the time factor. The time factor are t1, t2, t3 and t4. The compression index is C?1=compression index and C? is biodegradation index. The duration for initial compression, the compression, the biological compression and time creep are included in the model. The sample of waste soil is taken from closed dumping area in Lukut, Negeri Sembilan with the height of waste approximately 1 to 3 meters. The sample is tested using consolidation test for determining the geotechnical parameters and compressibility index. Based on the Hossein and Gabr model, the predicted long-term settlement for 20 years (?H) for the waste height of 1 to 3 meters are 0.21m, 0.42m and 0.63m respectively and are below the percentages of proposed maximum settlement for waste soil which is acceptable for new development to takes place. The types of deep or shallow foundation are proposed based on the predicted settlement. The abandoned open dumping area can now be reused for the new development after the long-term settlement are predicted and some of the precaution measures has been taken as a safety measures. � 2017 Author(s). |
author2 |
26536518100 |
author_facet |
26536518100 Pauzi N.I.M. Shariffuddin A.S. Omar H. Misran H. |
format |
Conference Paper |
author |
Pauzi N.I.M. Shariffuddin A.S. Omar H. Misran H. |
spellingShingle |
Pauzi N.I.M. Shariffuddin A.S. Omar H. Misran H. Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development |
author_sort |
Pauzi N.I.M. |
title |
Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development |
title_short |
Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development |
title_full |
Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development |
title_fullStr |
Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development |
title_full_unstemmed |
Long-term settlement prediction at open dumping area using Hossein and Gabr method for new development |
title_sort |
long-term settlement prediction at open dumping area using hossein and gabr method for new development |
publisher |
American Institute of Physics Inc. |
publishDate |
2023 |
_version_ |
1806424073596567552 |
score |
13.222552 |