Optimization of tall guyed masts using genetic algorithms
نویسندگان
چکیده
The aim of the article is to describe the procedure for mixed topology-size optimization of tall guyed masts, seeking the minimal mast weight with stochastic genetic algorithms. Given the height, geometrical in-plan and bracing schemes of the mast, loading and material data, the optimization procedure renders the explicit design of the mast including dimensions of all mast elements, attachment points of the guys, distances of the guys’ foundations from the mast, etc. The constraints of the problem include typical strength, slenderness, and local and global stability requirements according to the Eurocodes. The value of the objective function is obtained and all the constraints are checked via statical analysis with a finite element program. The influence of the guys on the behavior of the mast is modeled by linear springs. The design obtained may serve as a hint for more precise nonlinear dynamic analysis. This article provides the results of the optimization of a practical 50 m broadcasting antenna mast with two clusters of guys. 2013 Elsevier Ltd. All rights reserved.
منابع مشابه
Multi-objective Optimization of Semi-active Control of Seismically Exited Buildings Using Variable Damper and Genetic Algorithms
Semi-active fluid viscous dampers as a subset of control systems have shown their ability to reduce seismic responses of tall buildings. In this paper, multi-objective optimization of the performance of this group of dampers in reducing the seismic responses of buildings is studied using multi-objective genetic algorithms. For numerical example, two 7 and 18 stories buildings are chosen and mod...
متن کاملAERO-THERMODYNAMIC OPTIMIZATION OF TURBOPROP ENGINES USING MULTI-OBJECTIVE GENETIC ALGORITHMS
In this paper multi-objective genetic algorithms were employed for Pareto approach optimization of turboprop engines. The considered objective functions are used to maximize the specific thrust, propulsive efficiency, thermal efficiency, propeller efficiency and minimize the thrust specific fuel consumption. These objectives are usually conflicting with each other. The design variables consist ...
متن کاملThe Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms
The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the c...
متن کاملA Simplified Method for Dynamic Analysis of a Guyed Mast
The dynamic response of a guyed mast is relatively larger than for other structures. Thus a proper evaluation of the dynamic response is of major importance. The proposed simplified method separates the dynamic response into a low-frequency, background region and a high-frequency, resonant region. The background response has been estimated using patch loading. The resonant responses can be take...
متن کاملOptimization of Cutting Parameters Based on Production Time Using Colonial Competitive (CC) and Genetic (G) Algorithms
A properly designed machining procedure can significantly affect the efficiency of the production lines. To minimize the cost of machining process as well as increasing the quality of products, cutting parameters must permit the reduction of cutting time and cost to the lowest possible levels. To achieve this, cutting parameters must be kept in the optimal range. This is a non-linear optimizati...
متن کامل