RBDO COMPARATIVE STUDY: ANALYZING RIA VS. PMA METHODOLOGIES IN MECHANICAL SYSTEMS

This study presents a comparative analysis of two well-recognized robust engineeringapproaches — the Reliability Index Approach (RIA) and the Performance Measure Approach(PMA) — applied to the optimization of Golinski speed reducers problem, a criticalcomponent frequently involved in optimization challenges within mechanical systems. Thesecomponents, crucial in various mechanical systems, often face performance issues due tofluctuating conditions and uncertain parameters and factors. By integrating both RIA andPMA, this research aims to enhance the reliability and efficiency of speed reducers, whilemitigating risks and improving system durability. The results indicate that for this benchmark,PMA outperforms RIA by a significant 40%. However, a key limitation of RIA is itssensitivity to the starting points of the algorithm, unlike PMA, which is much less affected bythis factor. This highlights the need for further investigation into the influence of startingpoints and the non convergence issue on the effectiveness of both methods.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-21
DOI
https://doi.org/10.5281/zenodo.17192355
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
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article

RBDO COMPARATIVE STUDY: ANALYZING RIA VS. PMA METHODOLOGIES IN MECHANICAL SYSTEMS

Zenodo (CERN European Organization for Nuclear Research)
Advanced Optical Imaging Technologies
article

RBDO COMPARATIVE STUDY: ANALYZING RIA VS. PMA METHODOLOGIES IN MECHANICAL SYSTEMS

article en

Abstract

This study presents a comparative analysis of two well-recognized robust engineeringapproaches — the Reliability Index Approach (RIA) and the Performance Measure Approach(PMA) — applied to the optimization of Golinski speed reducers problem, a criticalcomponent frequently involved in optimization challenges within mechanical systems. Thesecomponents, crucial in various mechanical systems, often face performance issues due tofluctuating conditions and uncertain parameters and factors. By integrating both RIA andPMA, this research aims to enhance the reliability and efficiency of speed reducers, whilemitigating risks and improving system durability. The results indicate that for this benchmark,PMA outperforms RIA by a significant 40%. However, a key limitation of RIA is itssensitivity to the starting points of the algorithm, unlike PMA, which is much less affected bythis factor. This highlights the need for further investigation into the influence of startingpoints and the non convergence issue on the effectiveness of both methods.

Zenodo (CERN European Organization for Nuclear Research)
University Ferhat Abbas of Setif (DZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Advanced Optical Imaging Technologies
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