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.
|Title of host publication||23rd Design Automation Conference|
|Publisher||The American Society of Mechanical Engineers(ASME)|
|Publication status||Published - 1997|
|Event||ASME 1997 Design Engineering Technical Conferences, DETC 1997 - Sacramento, United States|
Duration: 14 Sep 1997 → 17 Sep 1997
|Name||Proceedings of the ASME Design Engineering Technical Conference|
|Conference||ASME 1997 Design Engineering Technical Conferences, DETC 1997|
|Period||14/09/97 → 17/09/97|
Bibliographical notePublisher Copyright:
© 1997 by ASME.