Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters

2016 ◽  
Vol 28 (S1) ◽  
pp. 659-670 ◽  
Author(s):  
Iman Gholaminezhad ◽  
Ali Jamali ◽  
Hirad Assimi
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Robust Design Optimization ◽  
Uncertain Parameters ◽  
Multi Objective ◽  
Robot Gripper

Multi-objective approach for robust design optimization problems

2007 ◽  
Vol 15 (1) ◽  
pp. 47-59 ◽  
Author(s):  
Igor N. Egorov ◽  
Gennadiy V. Kretinin ◽  
Igor A. Leshchenko ◽  
Sergey V. Kuptzov
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Optimization Problems ◽  
Robust Design Optimization ◽  
Multi Objective

scholarly journals Robust Design Optimization for Low-Cost Concrete Box-Girder Bridge

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 398 ◽  
Author(s):  
Vicent Penadés-Plà ◽  
Tatiana García-Segura ◽  
Víctor Yepes
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Computational Cost ◽  
Robust Design Optimization ◽  
Structural Behavior ◽  
Uncertain Parameters ◽  
Box Girder ◽  
Structural Problems ◽  
Concrete Box Girder ◽  
High Computational Cost

The design of a structure is generally carried out according to a deterministic approach. However, all structural problems have associated initial uncertain parameters that can differ from the design value. This becomes important when the goal is to reach optimized structures, as a small variation of these initial uncertain parameters can have a big influence on the structural behavior. The objective of robust design optimization is to obtain an optimum design with the lowest possible variation of the objective functions. For this purpose, a probabilistic optimization is necessary to obtain the statistical parameters that represent the mean value and variation of the objective function considered. However, one of the disadvantages of the optimal robust design is its high computational cost. In this paper, robust design optimization is applied to design a continuous prestressed concrete box-girder pedestrian bridge that is optimum in terms of its cost and robust in terms of structural stability. Furthermore, Latin hypercube sampling and the kriging metamodel are used to deal with the high computational cost. Results show that the main variables that control the structural behavior are the depth of the cross-section and compressive strength of the concrete and that a compromise solution between the optimal cost and the robustness of the design can be reached.

A FRAMEWORK FOR CAPTURING DEGRADATION BEHAVIOR IN RELIABILITY-BASED ROBUST DESIGN OPTIMIZATION

2011 ◽  
Vol 18 (06) ◽  
pp. 531-554 ◽  
Author(s):  
OM PRAKASH YADAV ◽  
SUNIL S. BHAMARE ◽  
AJAY PAL SINGH RATHORE
Keyword(s):  
Design Optimization ◽  
Robust Design ◽  
Degradation Process ◽  
Development Stage ◽  
Robust Design Optimization ◽  
Design Parameters ◽  
Leaf Spring ◽  
Degradation Behavior ◽  
Multi Objective ◽  
Target Values

The increasing customer awareness and global competition have forced manufacturers to capture the entire life cycle issues during product design and development stage. The thorough understanding of product behavior (degradation process) and various uncertainties associated with product performance is paramount to produce reliable and robust design. This paper proposes a multi-objective framework for reliability-based robust design optimization, which captures degradation behavior of quality characteristics to provide optimal design parameters. The objective function of the multi-objective optimization problem is defined as quality loss function considering both desirable and undesirable deviations between target values and the actual results. The degradation behavior is captured by using empirical model to estimate amount of degradation accumulated in time t. The applicability of the proposed methodology is demonstrated by considering a leaf spring design problem.

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