scholarly journals Optimal double-resource assignment for the robust design problem in multistate computer networks

2014 ◽  
Vol 38 (1) ◽  
pp. 263-277 ◽  
Author(s):  
Shin-Guang Chen
Keyword(s):  
Computer Networks ◽  
Robust Design ◽  
Design Problem ◽  
Resource Assignment

A Model-Based Formulation of Robust Design

2005 ◽  
Vol 127 (3) ◽  
pp. 388-396 ◽  
Author(s):  
Khalid Al-Widyan ◽  
Jorge Angeles
Keyword(s):  
Covariance Matrix ◽  
Robust Design ◽  
Design Problem ◽  
Engineering Systems ◽  
Design Environment ◽  
Design Task ◽  
Model Based ◽  
Functional Relations ◽  
Design Variables ◽  
Environment Parameters

Laid down in this paper are the foundations on which the design of engineering systems, in the presence of an uncontrollable changing environment, can be based. The changes in environment conditions are accounted for by means of robustness. To this end, a theoretical framework as well as a general methodology for model-based robust design are proposed. Within this framework, all quantities involved in a design task are classified into three sets: the design variables (DV), grouped in vector x, which are to be assigned values as an outcome of the design task; the design-environment parameters (DEP), grouped in vector p, over which the designer has no control; and the performance functions (PF), grouped in vector f, representing the functional relations among performance, DV, and DEP. A distinction is made between global robust design and local robust design, this paper focusing on the latter. The robust design problem is formulated as the minimization of a norm of the covariance matrix of the variations in PF upon variations in the DEP, aka noise in the literature on robust design. Moreover, one pertinent concept is introduced: design isotropy. We show that isotropic designs lead to robustness, even in the absence of knowledge of the statistical properties of the variations of the DEP. To demonstrate our approach, a few examples are included.

Robust Mechanical Design Using Engineering Models

1995 ◽  
Vol 117 (B) ◽  
pp. 48-54 ◽  
Author(s):  
A. Parkinson
Keyword(s):  
Robust Design ◽  
Design Problem ◽  
Mechanical Design ◽  
Check Valve ◽  
Valve Design ◽  
Robust Designs ◽  
Linkage Design ◽  
Engineering Models ◽  
Transmitted Variation

This paper examines how engineering models can be used to develop robust designs—designs that can tolerate variation. Variation is defined in terms of tolerances which bracket the expected deviation of model variables and/or parameters. Several methods for robust design are discussed. The method of transmitted variation is explained in detail and illustrated on a linkage design problem and a check valve design problem.

Robust Mechanical Design Using Engineering Models

1995 ◽  
Vol 117 (B) ◽  
pp. 48-54 ◽  
Author(s):  
A. Parkinson
Keyword(s):  
Robust Design ◽  
Design Problem ◽  
Mechanical Design ◽  
Check Valve ◽  
Valve Design ◽  
Robust Designs ◽  
Linkage Design ◽  
Engineering Models ◽  
Transmitted Variation

This paper examines how engineering models can be used to develop robust designs—designs that can tolerate variation. Variation is defined in terms of tolerances which bracket the expected deviation of model variables and/or parameters. Several methods for robust design are discussed. The method of transmitted variation is explained in detail and illustrated on a linkage design problem and a check valve design problem.

scholarly journals A set strategy approach for multidisciplinary robust design optimization under interval uncertainty

2019 ◽  
Vol 11 (1) ◽  
pp. 168781401882038 ◽  
Author(s):  
Yongsheng Yi ◽  
Wei Li ◽  
Mi Xiao ◽  
Liang Gao
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Design Problem ◽  
Design Space ◽  
System Optimization ◽  
Interval Uncertainty ◽  
Robust Design Optimization ◽  
Sequential Optimization ◽  
Air Cooling ◽  
Wide Range

Uncertainties widely exist in complex engineering systems. Robust design is one of the most used method for designing under uncertainty and has been gaining more attention. For the wide range of uncertainties, this article proposes a multidisciplinary robust design optimization method based on the set strategy. In this method, a robust design model that utilizes the maximum variation analysis is developed for uncertainty analysis. Then, a set strategy–based approach is employed to build a system optimization model, which is used to coordinate the coupling variables between full autonomy subsystems and obtains a new design space. Finally, the system robust optimal solution and the optimal robust design space are obtained through the sequential optimization, which provide a direction for the subsequent analysis. Two mathematics examples and the speed reducer design problem are taken to verify the validity and accuracy of the proposed method. A practical engineering problem, namely, air cooling battery thermal management system design problem, is successfully solved by the proposed method.

Characteristic Variable Based Robust Design for Dynamic System

2014 ◽  
Vol 635-637 ◽  
pp. 329-333
Author(s):  
Xin Jiang Lu ◽  
Wen Bing Lv ◽  
Wei Zou
Keyword(s):  
Dynamic System ◽  
Robust Design ◽  
Design Problem ◽  
Design Method ◽  
Dynamic Performance ◽  
Parameter Variation ◽  
Hydraulic Press ◽  
Complex Dynamic ◽  
Robust Design Method

In this paper, a dynamic robust design method is proposed to achieve a desirable dynamic performance in despite of parameter variation. Since it transforms the robustness of a dynamic system into the robustness of its characteristic variables, the complex dynamic robust design problem becomes a relatively simple static robust design problem. This greatly eases complex of this design. The effectiveness of the proposed method is further demonstrated by a comparison with the existing method on design of a practical hydraulic press machine.

Robust Design of Horizontal Axis Wind Turbines Using Taguchi Method

2011 ◽  
Vol 133 (11) ◽  
Author(s):  
Yi Hu ◽  
Singiresu S. Rao
Keyword(s):  
Taguchi Method ◽  
Robust Design ◽  
Wind Turbines ◽  
Design Problem ◽  
Horizontal Axis ◽  
Parameter Design ◽  
Tolerance Design ◽  
Design Problems ◽  
Momentum Theory ◽  
Horizontal Axis Wind Turbines

The robust design of horizontal axis wind turbines, including both parameter design and tolerance design, is presented. A simple way of designing robust horizontal axis wind turbine systems under realistic conditions is outlined with multiple design parameters (variables), multiple objectives, and multiple constraints simultaneously by using the traditional Taguchi method and its extensions. The performance of the turbines is predicted using the axial momentum theory and the blade element momentum theory. In the parameter design stage, the energy output of the turbine is maximized using the Taguchi method and an extended penalty-based Taguchi method is proposed to solve constrained parameter design problems. The results of the unconstrained and constrained parameter design problems, in terms of the objective function and constraints are compared. Using an appropriate set of tolerance settings of the parameters, the tolerance design problem is formulated so as to yield an economical design, while ensuring a minimal variability in the performance of the wind turbine. The resulting multi-objective tolerance design problem is solved using the traditional Taguchi method. The present work provides a simple and economical approach for the robust optimal design of horizontal axis wind turbines.

scholarly journals A Robust Eco-Design Approach Based on New Sensitivity Coefficients by Considering the Uncertainty of LCI

2017 ◽  
Vol 16 (03) ◽  
pp. 185-203 ◽  
Author(s):  
Xi Yu ◽  
Haiqing Zhang ◽  
Hongping Shu ◽  
Weidong Zhao ◽  
Tao Yan ◽  
...  
Keyword(s):  
Life Cycle ◽  
End Of Life ◽  
Robust Design ◽  
Design Problem ◽  
Product Life Cycle ◽  
Design Method ◽  
Sensitivity Coefficient ◽  
Design Phase ◽  
Sensitivity Coefficients ◽  
Life Phase

It is urgent to introduce life cycle assessment (LCA) into eco-design in order to conduct eco-design in the quantitative and systematic era. In the design phase, various uncertainties in product life cycle inventory (LCI) are emerged. In practice, the real value of LCI calculated in the product end-of-life phase may be much different from the target LCI value predicted in the design phase. The aim of this research is to propose a robust design method to overcome the uncertainty issue. Regarding the scope of LCI analysis, this paper focused on the product manufacturing phase and its end-of-life phase. In this paper, the design problem of robust eco-design is modeled in a mathematical way, the novel sensitivity coefficient of LCI with uncertainty is proposed to solve the robust eco-design problem from mathematical perspective, and a guideline-based approach for robust design is proposed based on the new sensitivity coefficients. A case study is provided to illustrate the application of this research and validate our methods.

Crashworthiness-based lightweight design problem via new robust design method considering two sources of uncertainties

2012 ◽  
Vol 227 (7) ◽  
pp. 1381-1391 ◽  
Author(s):  
Siliang Zhang ◽  
Ping Zhu ◽  
Wei Chen
Keyword(s):  
Robust Design ◽  
Design Problem ◽  
Design Method ◽  
Lightweight Design ◽  
Parametric Uncertainty ◽  
Side Impact ◽  
Robust Solution ◽  
Highly Nonlinear ◽  
Robust Design Method ◽  
Metamodel Uncertainty

Metamodel-based robust design methods are commonly used to mitigate the influence of parametric uncertainty associated in sheet gauges and material properties in crashworthiness-based vehicle lightweight design. Since the crash performances are highly nonlinear and high-dimensional responses, the prediction error of metamodels inevitably introduces the so-called metamodeling uncertainty in robust design that may mislead to a wrong solution. In this article, a new robust design method considering both parametric uncertainty and metamodeling uncertainty is proposed in the autobody lightweight design problem. Six crash responses in side impact and roof crush are defined as the constraint responses. The results demonstrate that the proposed robust design method is superior to the conservative-surrogate-based robust design method. The final confirmed robust solution achieves 14.39% weight reduction. The method provides an efficient way to reduce the risk of constraint violation and avoids an over-conservative design due to metamodel uncertainty in crashworthiness-based lightweight design problems.

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