Minimum Weight Design for Toroidal Shells With Strengthening Component

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Vu Truong Vu
Keyword(s):  
Minimum Weight ◽  
Optimization Methods ◽  
Plastic Instability ◽  
Optimal Shape ◽  
Minimum Weight Design ◽  
Swarm Optimization ◽  
Weight Saving ◽  
Weight Design ◽  
Internal Volume ◽  
Toroidal Shells

This article presents an approach to the minimum weight design for toroidal shells with strengthening component subject to internal pressure. The optimal shape is obtained by adjusting the geometry and wall thickness of the cross section associated with the thickness and position of the strengthening component. Constraints include first yield pressure, plastic pressures, plastic instability pressure, and internal volume of toroid. The weight saving can reach over 70% in some toroid configurations. The comparison of two optimization methods shows that differential evolution (DE) slightly outperforms particle swarm optimization (PSO) in the majority of investigated cases.

Technical Notes: Comment on the “Minimum Weight Design of Helicopter Rotor Blades with Frequency Constraints,” Journal of the American Helicopter Society, October, 1989

1990 ◽  
Vol 35 (2) ◽  
pp. 69-69
Author(s):  
Kenneth B. Amer
Keyword(s):  
Minimum Weight ◽  
Rotor Blades ◽  
Helicopter Rotor ◽  
Minimum Weight Design ◽  
Bending Fatigue ◽  
Weight Saving ◽  
Blade Root ◽  
Helicopter Rotor Blades ◽  
Weight Design ◽  
Fatigue Loads

It appears that most of the weight saving from the reference blade to the minimum‐weight blade is in the region of the blade root. Undoubtedly, the reference blade requires this weight increase to accommodate the usual bending fatigue loads at the root. The authors do not address the question of how their minimum‐weight blade would handle blade‐root fatigue loads.

Modern Optimization Methods in Minimum Weight Design of Elastic Annular Rotating Disk with Variable Thickness

2011 ◽  
Author(s):  
S. Jafari ◽  
M. H. Hojjati ◽  
Muhammed Hasan Aslan ◽  
Ahmet Yayuz Oral ◽  
Mehmet Özer ◽  
...  
Keyword(s):  
Variable Thickness ◽  
Minimum Weight ◽  
Rotating Disk ◽  
Optimization Methods ◽  
Minimum Weight Design ◽  
Weight Design ◽  
Modern Optimization

scholarly journals Optimal selection of topologies for the minimum-weight design of continuum structures with stress constraints

1999 ◽  
Vol 213 (8) ◽  
pp. 755-762 ◽  
Author(s):  
Q Q Liang ◽  
Y M Xie ◽  
G P Steven
Keyword(s):  
Structural Optimization ◽  
Performance Index ◽  
Minimum Weight ◽  
Optimization Methods ◽  
Stress Constraints ◽  
Optimal Selection ◽  
Minimum Weight Design ◽  
Continuum Structures ◽  
Weight Design ◽  
Selection Of

This paper presents a method for assisting the optimal selection of topologies for the minimum-weight design of continuum structures subject to stress constraints by using the performance index (PI). A performance index is developed for evaluating the efficiency of structural topologies based on the scaling design approach. This performance index is incorporated in the evolutionary structural optimization (ESO) method to monitor the optimization process when gradually removing inefficient material from the structure. The optimal topology can be identified from the performance index history. Various structures with stress and height constraints are investigated by using this performance index, which is also employed to compare the efficiency of structural topologies generated by different optimization methods. It is shown that the proposed performance index is capable of measuring the efficiency of structural topologies obtained by various structural optimization methods and is a valuable design tool for engineers in selecting optimal topologies in structural design.

scholarly journals Resizing Technique-Based Hybrid Genetic Algorithm for Optimal Drift Design of Multistory Steel Frame Buildings

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Hyo Seon Park ◽  
Eunmi Kwon ◽  
Yousok Kim ◽  
Se Woon Choi
Keyword(s):  
Genetic Algorithm ◽  
Minimum Weight ◽  
Hybrid Genetic Algorithm ◽  
Optimization Methods ◽  
Steel Frame ◽  
Convergence Properties ◽  
Minimum Weight Design ◽  
Frame Buildings ◽  
Steel Frame Buildings ◽  
Weight Design

Since genetic algorithm-based optimization methods are computationally expensive for practical use in the field of structural optimization, a resizing technique-based hybrid genetic algorithm for the drift design of multistory steel frame buildings is proposed to increase the convergence speed of genetic algorithms. To reduce the number of structural analyses required for the convergence, a genetic algorithm is combined with a resizing technique that is an efficient optimal technique to control the drift of buildings without the repetitive structural analysis. The resizing technique-based hybrid genetic algorithm proposed in this paper is applied to the minimum weight design of three steel frame buildings. To evaluate the performance of the algorithm, optimum weights, computational times, and generation numbers from the proposed algorithm are compared with those from a genetic algorithm. Based on the comparisons, it is concluded that the hybrid genetic algorithm shows clear improvements in convergence properties.

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