Robust design and reliability analysis

Author(s):  
Aarnout Brombacher
2012 ◽  
Vol 157-158 ◽  
pp. 74-77
Author(s):  
Tian Xiao Zhang ◽  
Xin Hui Liu ◽  
Qiao Ling Liu

Variable cross-section components are widely used in engineering practice. The paper discussed the reliability analysis, sensitivity numeration and robust design for variable cross-section components obeying normal distribution, built up the reliability-based robust design model, propose a method discussing reliability-based robust design of variable cross-section wedge beam. According to the numeration, obtain the graph of reliability index and reliability of variable cross-section components, obtain the method designing reliability-based robust of variable cross-section components with the certain reliability index.


Author(s):  
Shui Yu ◽  
Zhonglai Wang

During the product design and development stage, design engineers often encounter reliability and robustness of dynamic uncertain structures. Meanwhile, time-varying and high nonlinear performance are the basic characteristics of reliability analysis and design. Hence, the time-dependent reliability analysis and integrating reliability-based design with robust design become a primary challenge in reliability-based robust design optimization. This paper proposes a multi-objective integrated framework for time-dependent reliability-based robust design optimization and the corresponding algorithms. The multi-objective integrated framework, which minimizes the mean value and coefficient of variation for the objective function at the same time subject to time-dependent probabilistic constraints, is first established. The time-dependent probabilistic constraints are then converted into deterministic constraints using a combination of moment method and the sparse grid based stochastic collocation method. The evolutionary multi-objective optimization algorithm is finally employed for the deterministic multi-objective optimization problem. Several examples are investigated to demonstrate the effectiveness of the proposed method.


2009 ◽  
Author(s):  
Ronald Laurids Boring ◽  
Johanna Oxstrand ◽  
Michael Hildebrandt

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