Weight optimization of transmission towers

Magnus Thor Jonsson, Ketill H. Gudmundsson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper presents a new approach to the minimum weight optimization of transmission towers, which consists of formulat- ing the optimization problem in a net weight objective function with no constraints. Genetic algorithms are employed to perform the optimization. Instead of using the well known penalty func- tion method to account for design constraints, the constraints are integrated in to the objective function. By selecting cross- sections inside the objective function ensures that the structure, being optimized, is always in full compliance with standard codes of practice for strength assessment of transmission towers. The paper is primarily concerned with practical aspects of transmission tower design and the method is presented with ex- amples based on accepted codes of practice and realistic tower designs. The problem is formulated for a full size transmission tower, where selected portions of tower topology and geometry are optimized, including a cross-sectional optimization from a set of commercially available steel sections.

Original languageEnglish
Title of host publication23rd Design Automation Conference
PublisherThe American Society of Mechanical Engineers(ASME)
ISBN (Electronic)9780791880449
Publication statusPublished - 1997
EventASME 1997 Design Engineering Technical Conferences, DETC 1997 - Sacramento, United States
Duration: 14 Sep 199717 Sep 1997

Publication series

NameProceedings of the ASME Design Engineering Technical Conference


ConferenceASME 1997 Design Engineering Technical Conferences, DETC 1997
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 1997 by ASME.


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