A Collaborative Approach for Multidisciplinary Systems Reliability Design and Optimization

Jun Zhang; Bing Zhang

doi:10.4028/www.scientific.net/AMR.694-697.911

Paper Titles

The New Approximate Calculation Method for the First Order Reliability
p.891

Analysis of Engine Camshaft Bearing Loosening Fault Based-on Model Simulation and Vibration Signal
p.896

Assessing the Reliability of Power Transformer by Quantitative Fault Tree Analysis
p.901

Components Importance Analysis Fault Tree of Power Transformer of Gi Simangkuk Switchyard in Indonesia
p.907

A Collaborative Approach for Multidisciplinary Systems Reliability Design and Optimization
p.911

Fuzzy Synthetic Evaluation on Operation Conditions of Power Equipment Based on Optimized Weights
p.915

Bayesian Credible Limits of Failure Rate and its Applications in Reliability Engineering
p.919

A Study of Tracking System Using Multiple Emitter Towers
p.927

Broken Rice Detection Based on Transmission Power Measurement Using a Microstrip Wide-Ring Sensor
p.936

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697A Collaborative Approach for Multidisciplinary...

A Collaborative Approach for Multidisciplinary Systems Reliability Design and Optimization

Abstract:

In order to improve the efficiency and robustness of reliability-based multidisciplinary design optimization (RBMDO), a new collaborative strategy (named C-RBMDO) which integrates performance measure approach (PMA) and concurrent subspace optimization strategy (CSSO) is proposed. Both the mathematical model and optimization procedure are put forward. The traditional triple-level nested flowchart of RBMDO is decoupled with the sequential optimization and reliability assessment (SORA). The deterministic multidisciplinary design optimization and the multidisciplinary reliability analysis are executed by CSSO and PMA respectively. Finally, the proposed method is verified through the design example of gear transmission.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

911-914

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.911

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Online since:

May 2013

Authors:

Jun Zhang, Bing Zhang

Keywords:

Collaborative Optimization (CO), Concurrent Subspace Optimization Strategy (CSSO), Performance Measure Approach (PMA), Reliability-Based Multidisciplinary Design Optimization (RBMDO), Sequential Optimization and Reliability Assessment (SORA)

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References

[1] P.K. Koch, B. Wujek and O. Golovidov. A multi-stage, parallel implementation of probabilistic design optimization in an MDO framework [C]. In: 8th AIAA/NASA/ISSMO symposium on multidisciplinary analysis and optimization, Long Beach, CA, 6–8 September, 2000.

DOI: 10.2514/6.2000-4805

Google Scholar

[2] D. Padmanabhan, S. Batill. Decomposition strategies for reliability based optimization in multidisciplinary systems design [C]. In: 9th AIAA/USAF/NASA/ISSMO symposium in multidisciplinary analysis & optimization, Atlanta, GA, 4-6 September, 2002.

DOI: 10.2514/6.2002-5471

Google Scholar

[3] X. P. Du, J. Guo and H. Beeram. Sequential optimization and reliability assessment for multidisciplinary systems design [J]. Structural Multidisciplinary Optimization, 2008, 35(2): 117-130.

DOI: 10.1007/s00158-007-0121-7

Google Scholar

[4] J. Ahn, J. H. Kwon. An efficient strategy for reliability-based multidisciplinary design optimization using BLISS [J]. Structural Multidisciplinary Optimization, 2006, 31(5): 363-372.

DOI: 10.1007/s00158-005-0565-6

Google Scholar

[5] X. D. Zhang, H. Z. Huang. Sequential optimization and reliability assessment for multidisciplinary design optimization under aleatory and epistemic uncertainties [J]. Structural Multidisciplinary Optimization, 2010, 40(1-6): 165-175.

DOI: 10.1007/s00158-008-0348-y

Google Scholar