Multiobjective Evolutionary Structural Optimization Using Combined Static/Dynamic Control Parameters

AIAA Journal ◽  
2006 ◽  
Vol 44 (4) ◽  
pp. 794-802 ◽  
Author(s):  
Woo-Young Kim ◽  
Ramana V. Grandhi ◽  
Mark Haney
Keyword(s):  
Structural Optimization ◽  
Dynamic Control ◽  
Control Parameters ◽  
Evolutionary Structural Optimization

Bidirectional Evolutionary Structural Optimization with Regional Penalty Factor

2018 ◽  
Vol 30 (12) ◽  
pp. 2224
Author(s):  
Cong Wang ◽  
Changdong Zhang ◽  
Tingting Liu ◽  
Wenhe Liao
Keyword(s):  
Structural Optimization ◽  
Evolutionary Structural Optimization ◽  
Penalty Factor

scholarly journals Improved Bi-Direction Evolutionary Structural Optimization Method and Its Application

2021 ◽  
Vol 632 ◽  
pp. 042032
Author(s):  
Jialei Zhu ◽  
Xiaodong Liang ◽  
Shuai Shao ◽  
Yongdong Bi ◽  
Runze Miao
Keyword(s):  
Structural Optimization ◽  
Optimization Method ◽  
Evolutionary Structural Optimization

A New ERR and Strategy for Bi-Directional Evolutionary Structural Optimization

2012 ◽  
Vol 204-208 ◽  
pp. 4422-4428
Author(s):  
Da Ke Zhang ◽  
Wen Pan Zhang ◽  
Han He ◽  
Chong Wang
Keyword(s):  
Structural Optimization ◽  
Stress Level ◽  
Optimization Procedure ◽  
Optimal Process ◽  
Removal Ratio ◽  
Rejection Ratio ◽  
Evolutionary Structural Optimization ◽  
Rejection Criterion ◽  
Element Addition ◽  
Element Removal

The efficiency of the element removal or addition is of significance for evolutionary structural optimization (ESO) process. The key is to find an appropriate rejection criterion (RC) which allows to assess the contribution of each element to the specified behavior（stress, stiffness, displacement, etc.）of the structure, and to subsequently remove elements with least contribution. This paper proposed a varying elements removal ratio (VERR) method which uses a larger ERR (Element Rejection Ratio) value at early iterations where exist a lot of redundant material, and decreases the value of ERR in the optimal process to lessen the number of elements removed at later iterations. Meanwhile, this paper proposed a strategy for element addition based on stress level and the contribution of elements to the structure in order to decide which elements should be added to the model and the sequence of the element addition. With the proposed VERR and the strategy, the optimization procedure of the structure evolves more quickly and smoothly.

Multistage Centrifugal Compressor Surge Analysis: Part II—Numerical Simulation and Dynamic Control Parameters Evaluation

1999 ◽  
Vol 121 (2) ◽  
pp. 312-320 ◽  
Author(s):  
G. L. Arnulfi ◽  
P. Giannattasio ◽  
C. Giusto ◽  
A. F. Massardo ◽  
D. Micheli ◽  
...  
Keyword(s):  
Active Control ◽  
Centrifugal Compressor ◽  
Dynamic Control ◽  
Point Of View ◽  
Lumped Parameter Model ◽  
Theoretical Point ◽  
Control Parameters ◽  
Compression System ◽  
Compressor Surge ◽  
Multistage Centrifugal Compressor

This paper describes, from a theoretical point of view, the behavior of compression systems during surge and the effect of passive and active control devices on the instability limit of the system. A lumped parameter model is used to simulate the compression system described in Part I of this work (Arnulfi et al., 1999), based on an industrial multistage centrifugal compressor. A comparison with experimental results shows that the model is accurate enough to describe quantitatively all the features of the phenomenon. A movable wall control system is studied in order to suppress surge in the compressor. Passive and active control schemes are analyzed; they both address directly the dynamic behavior of the compression system to displace the surge line to lower flow rates. The influence of system, geometry and compressor speed is investigated: the optimum values of the control parameters and the corresponding increase in the extent of the stable operating range are presented in the paper.

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