Design of an X-band accelerating structure using a newly developed structural optimization procedure

2017 ◽  
Vol 854 ◽  
pp. 45-52 ◽  
Author(s):  
Xiaoxia Huang ◽  
Wencheng Fang ◽  
Qiang Gu ◽  
Zhentang Zhao
Keyword(s):  
Structural Optimization ◽  
Optimization Procedure ◽  
X Band ◽  
Accelerating Structure

scholarly journals Design, fabrication, and high-gradient testing of an X -band, traveling-wave accelerating structure milled from copper halves

2018 ◽  
Vol 21 (6) ◽  
Author(s):  
Theodoros Argyropoulos ◽  
Nuria Catalan-Lasheras ◽  
Alexej Grudiev ◽  
Gerard Mcmonagle ◽  
Enrique Rodriguez-Castro ◽  
...  
Keyword(s):  
Traveling Wave ◽  
High Gradient ◽  
X Band ◽  
Accelerating Structure

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.

scholarly journals A Hard Copper Open X-Band RF Accelerating Structure Made by Two Halves

Instruments ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 5
Author(s):  
Bruno Spataro ◽  
Mostafa Behtouei ◽  
Fabio Cardelli ◽  
Martina Carillo ◽  
Valery Dolgashev ◽  
...  
Keyword(s):  
X Band ◽  
Accelerating Structure ◽  
Technological Developments

This communication focuses on the technological developments aiming to show the viability of novel welding techniques [...]

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.

Structural Optimization of Building Materials Using Optimality Criteria Approach and its Realization in ANSYS

2011 ◽  
Vol 321 ◽  
pp. 55-58 ◽  
Author(s):  
Ruo Hong Zhao
Keyword(s):  
Structural Optimization ◽  
Optimization Algorithm ◽  
Design Variable ◽  
Building Materials ◽  
Iteration Process ◽  
Optimization Procedure ◽  
Optimality Criteria ◽  
Iteration Algorithm ◽  
Explicit Formulation ◽  
Key Points

In this paper, the structural optimization of building materials is discussed focusing on the explicit formulation of the constraints and the optimal iteration algorithm. The whole optimization procedure was realized by programming using the APDL provided by the commercial software ANSYS. Some key points in programming are discussed such as how to determine a design variable is active or inactive during optimization iteration process. Finally an example was illustrated to demonstrate the validation of the optimization algorithm and the programming method using APDL.

A structural optimization design for an aluminum-intensive vehicle

2003 ◽  
Vol 217 (9) ◽  
pp. 771-779 ◽  
Author(s):  
Dong-Chan Lee ◽  
Jeong-Ick Lee
Keyword(s):  
Structural Optimization ◽  
Optimization Design ◽  
Joint Stiffness ◽  
Optimization Procedure ◽  
Steel Structure ◽  
Torsional Stiffness ◽  
Production Parameter ◽  
Parameter Region ◽  
Vehicle Structure ◽  
Structural Responses

This paper describes an integrated structural optimization procedure using a multilevel decomposition technique and a domain mapping contour that can represent the production parameter region. At the upper level, the structural responses are represented in terms of global quantities, i.e. stiffness, stresses and weight. At the lower level, the structural responses are represented in terms of local quantities, i.e. the intermediate parameters or the detailed dimensions based on the production parameter region. This technique was applied to develop the aluminium vehicle structure. The crosssectional characteristics and joint stiffness of the vehicle structure are calculated from the vehicle structure model which is composed of shell-beam-spring elements. In comparison with the base model (steel structure), the bending stiffness and torsional stiffness of the developed aluminium vehicle structure increase by around 45 and 35 per cent respectively, and the weight reduction is around 30 per cent. The manufactured structure is also presented.

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