Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm
Optimization of transmission tower structures is traditionally based on either optimization of members sizes with fixed topographical shape or based on structural analysis modelling strategies without taking cognizance of fabrication and constructability issue facing the contractors . This paper loo...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Conference paper |
Published: |
Institute of Physics Publishing
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-30076 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-300762023-12-29T15:44:20Z Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm Muda Z.C. Mustapha K.N. Omar R.C. Usman F. Alam M.A. Thiruchelvam S. 55812444000 26032672000 35753735300 55812540000 57199298044 55812442400 Algorithms Fabrication Optimization Structural design Constructability Inclination angles Modelling strategies Optimum designs Sustainable construction Transmission tower algorithm architectural design conference proceeding numerical model optimization structural analysis theoretical study topography topology Electric power transmission Optimization of transmission tower structures is traditionally based on either optimization of members sizes with fixed topographical shape or based on structural analysis modelling strategies without taking cognizance of fabrication and constructability issue facing the contractors . This paper look into an integrated optimum design approach strategies whereby size, shape and topology are combined together with the fabrication issues in the construction of the transmission tower. The topographical algorithm is based on changing the inclination degree of the legs of the tower at first with optimum individual members sizing and later rationalized member sizes are performed through member groupings for the ease fabrication and construction of the transmission tower. The optimum weight using topographical algorithm obtained for the transmission tower is 10,924 kg for singular members and 18,430 kg for element grouping at 10� inclination angle. � Published under licence by IOP Publishing Ltd. Final 2023-12-29T07:44:20Z 2023-12-29T07:44:20Z 2013 Conference paper 10.1088/1755-1315/16/1/012023 2-s2.0-84881116683 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881116683&doi=10.1088%2f1755-1315%2f16%2f1%2f012023&partnerID=40&md5=a1b5a631b3c0b6b7ebdbc270dbcaada1 https://irepository.uniten.edu.my/handle/123456789/30076 16 1 12023 All Open Access; Bronze Open Access Institute of Physics Publishing 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/ |
topic |
Algorithms Fabrication Optimization Structural design Constructability Inclination angles Modelling strategies Optimum designs Sustainable construction Transmission tower algorithm architectural design conference proceeding numerical model optimization structural analysis theoretical study topography topology Electric power transmission |
spellingShingle |
Algorithms Fabrication Optimization Structural design Constructability Inclination angles Modelling strategies Optimum designs Sustainable construction Transmission tower algorithm architectural design conference proceeding numerical model optimization structural analysis theoretical study topography topology Electric power transmission Muda Z.C. Mustapha K.N. Omar R.C. Usman F. Alam M.A. Thiruchelvam S. Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
description |
Optimization of transmission tower structures is traditionally based on either optimization of members sizes with fixed topographical shape or based on structural analysis modelling strategies without taking cognizance of fabrication and constructability issue facing the contractors . This paper look into an integrated optimum design approach strategies whereby size, shape and topology are combined together with the fabrication issues in the construction of the transmission tower. The topographical algorithm is based on changing the inclination degree of the legs of the tower at first with optimum individual members sizing and later rationalized member sizes are performed through member groupings for the ease fabrication and construction of the transmission tower. The optimum weight using topographical algorithm obtained for the transmission tower is 10,924 kg for singular members and 18,430 kg for element grouping at 10� inclination angle. � Published under licence by IOP Publishing Ltd. |
author2 |
55812444000 |
author_facet |
55812444000 Muda Z.C. Mustapha K.N. Omar R.C. Usman F. Alam M.A. Thiruchelvam S. |
format |
Conference paper |
author |
Muda Z.C. Mustapha K.N. Omar R.C. Usman F. Alam M.A. Thiruchelvam S. |
author_sort |
Muda Z.C. |
title |
Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
title_short |
Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
title_full |
Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
title_fullStr |
Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
title_full_unstemmed |
Optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
title_sort |
optimization of structural design for sustainable construction of transmission tower based on topographical algorithm |
publisher |
Institute of Physics Publishing |
publishDate |
2023 |
_version_ |
1806423228903587840 |
score |
13.214268 |