Structural Optimization of Transmission Line of Steel Poles

2012 ◽  
Vol 166-169 ◽  
pp. 48-51
Author(s):  
Li Qin ◽  
Ya Nan Luo ◽  
Peng Huang
Keyword(s):  
Structural Optimization ◽  
Transmission Line ◽  
Optimization Problems ◽  
Load Condition ◽  
Steel Pipe ◽  
Economic Optimization ◽  
Design Load ◽  
Design Variables ◽  
Load Calculation ◽  
Structural Mass

For the structural optimization of transmission line of steel pipe poles,the structural mass was considered the objective of the economic optimization, the taper of shaft and then the thickness of each wall with the taper of shaft were successively regarded as the design variables, established mathematical modal of transmission line of steel-pipe pole. Various conditions of load calculation were accomplished. Themost unfavorable load condition founded were taken as the design load condition.And LIN-GO is introduced to solve some optimization problems about the design variables. From what has been analysed , it is proved using L INGO on structural optimization of transmission line of steel pipe poles Can significantly reduce the amount of steel used.

A Two Level Parallel Evolution Strategy for Solving Mixed-Discrete Structural Optimization Problems

1995 ◽  
Author(s):  
Georg Thierauf ◽  
Jianbo Cai
Keyword(s):  
Parallel Computing ◽  
Structural Optimization ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Parallel Evolution ◽  
Evolution Strategy ◽  
Parallel Computer ◽  
Computing Architecture ◽  
Design Variables

Abstract A method for the solution of mixed-discrete structural optimization problems based on a two level parallel evolution strategy is presented. On the first level, the optimization problem is divided into two subproblems with discrete and continuous design variables, respectively. The two subproblems are solved simultaneously on a parallel computing architecture. On the second level, each subproblem is further parallelized by means of a parallel sub-evolution-strategy. Periodically, the design variables in the two groups axe exchanged. Examples are included to demonstrate the implementation of this method on a 8 nodes parallel computer.

The Local Approximation Method for Structural Optimization

2014 ◽  
Vol 575 ◽  
pp. 854-858
Author(s):  
Yi Nie ◽  
Yan Wang ◽  
Wei Sun ◽  
Yan He ◽  
Jing Hao ◽  
...  
Keyword(s):  
Structural Optimization ◽  
Approximation Method ◽  
Optimization Problems ◽  
Broad Class ◽  
Local Approximation ◽  
Optimized Design ◽  
Guide Rail ◽  
Original Design ◽  
Design Variables

The local approximation method exhibits many advantage features and it is popular to a broad class of structural optimization problems. In this paper, both the mathematical modeling and case study of the local approximation method were studied. The theoretical analysis indicates that the primary optimization problem can be replaced with a sequence of explicit approximate problems by using the local approximation method. The explicit subproblems are convex and separable, which can be solved efficiently by using a dual method approach. The topology optimization of a guide rail design is then solved to testify the proposed method, which has been coded by Altair OptiStruct. The optimized design of a widely used guide rail with an “I” shape cross section is obtained and compared with the original design. The numerical results have shown that the local approximation method can effectively solve the structure optimization problems, especially the ones with hundreds of design variables or constraints.

Generalized Random Tunneling Algorithm for Continuous Design Variables

2003 ◽  
Author(s):  
Satoshi Kitayama ◽  
Koetsu Yamazaki
Keyword(s):  
Global Optimization ◽  
Mathematical Programming ◽  
Structural Optimization ◽  
Global Minimum ◽  
Optimization Problems ◽  
Optimization Method ◽  
Global Optimization Method ◽  
Numerical Examples ◽  
Design Variables ◽  
Side Constraints

A global optimization method for continuous design variables called as Generalized Random Tunneling Algorithm is proposed. Proposed method is called as “Generalized” random tunneling algorithm because this method can treat the behavior constraints as well as the side constraints. This method consists of three phases, that is, the minimization phase, the tunneling phase, and the constraints phase. In the minimization phase, mathematical programming is used, and heuristic approach is introduced in the tunneling and constraint phases. By iterating these phases, global minimum is found. The characteristics of mathematical programming and heuristic approaches are included in the proposed method. Global minimum which may lie on the boundary of constraints is easily found by proposed method. Proposed method is applied to mathematical and structural optimization problems. Through numerical examples, the effectiveness and validity of proposed method have been confirmed.

A New Distance Relaying Method with System Load Condition Considered in a Transmission Line

2005 ◽  
Vol 277-279 ◽  
pp. 686-691
Author(s):  
Hyun Kyung Moon ◽  
Seung Ho Hyun ◽  
Sung J. Lee
Keyword(s):  
Transmission Line ◽  
Fault Location ◽  
Load Condition ◽  
Fault Current ◽  
Loop Analysis ◽  
Fault Resistance ◽  
Before And After ◽  
Location Algorithm ◽  
Distance Relaying ◽  
Feed Effect

This paper presents a novel fault location algorithm for a distance relay of a transmission line. Under the assumption that the source voltages and impedances of both ends are not changed before and after a fault, the fault current and the voltage of the terminal end are estimated including the loading condition. Then, the fault location expression, independent of the fault resistance, is derived using these voltages and currents through a loop analysis, in the manner that the in-feed effect of the terminal end is eliminated. The suggested algorithm is applied to a typical transmission line to show its effectiveness.

Structural Optimization of Composite Panel with Lamination Parameters and Equivalent Stiffness Laminate Method

2014 ◽  
Vol 496-500 ◽  
pp. 429-435
Author(s):  
Xiao Ping Zhong ◽  
Peng Jin
Keyword(s):  
Genetic Algorithm ◽  
Structural Optimization ◽  
Composite Structure ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Composite Panel ◽  
Analysis Tool ◽  
Equivalent Stiffness ◽  
Lamination Parameters ◽  
Design Variables

Firstly, a two-level optimization procedure for composite structure is investigated with lamination parameters as design variables and MSC.Nastran as analysis tool. The details using lamination parameters as MSC.Nastran input parameters are presented. Secondly, with a proper equivalent stiffness laminate built to substitute for the lamination parameters, a two-level optimization method based on the equivalent stiffness laminate is proposed. Compared with the lamination parameters-based method, the layer thicknesses of the equivalent stiffness laminate are adopted as continuous design variables at the first level. The corresponding lamination parameters are calculated from the optimal layer thicknesses. At the second level, genetic algorithm (GA) is applied to identify an optimal laminate configuration to target the lamination parameters obtained. The numerical example shows that the proposed method without considering constraints of lamination parameters can obtain better optimal results.

Shape Synthesis and Optimization Using Intrinsic Geometry

1990 ◽  
Author(s):  
Shahriar Tavakkoli ◽  
Sanjay G. Dhande
Keyword(s):  
Optimization Problems ◽  
Piecewise Linear ◽  
Shape Design ◽  
Arc Length ◽  
Intrinsic Geometry ◽  
Shape Model ◽  
Design Variables ◽  
Dimensional Shape ◽  
Variable Geometry Truss ◽  
Arc Lengths

Abstract The present paper outlines a method of shape synthesis using intrinsic geometry to be used for two-dimensional shape optimization problems. It is observed that the shape of a curve can be defined in terms of intrinsic parameters such as the curvature as a function of the arc length. The method of shape synthesis, proposed here, consists of selecting a shape model, defining a set of shape design variables and then evaluating Cartesian coordinates of a curve. A shape model is conceived as a set of continuous piecewise linear segments of the curvature; each segment defined as a function of the arc length. The shape design variables are the values of curvature and/or arc lengths at some of the end-points of the linear segments. The proposed method of shape synthesis and optimization is general in nature. It has been shown how the proposed method can be used to find the optimal shape of a planar Variable Geometry Truss (VGT) manipulator for a pre-specified position and orientation of the end-effector. In conclusion, it can be said that the proposed approach requires fewer design variables as compared to the methods where shape is represented using spline-like functions.

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