Reliability and Possibility Based Multidisciplinary Design Optimization for Aircraft Conceptual Design

In recent years, uncertainties have been considered in engineering problem. The uncertainties are inherited in each phase of simulation based design process. The Reliability Based Design Optimization (RBDO) and Possibility Based Design Optimization (PBDO) methods were proposed to handle these uncertainties on design optimization. In this paper, the RBDO and PBDO methods were considered with a Multidisciplinary Design Optimization (MDO) method to accomplish the conservative design result when low fidelity analysis tools are used. This method has been applied to an aircraft conceptual design case. This research evaluates the characteristic of the RBDO and PBDO methods. It is shown that the RBDO results depend on the accuracy of uncertain parameters while the PBDO results shows more conservative results.

[1]  B. Youn,et al.  Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data , 2006 .

[2]  Daniel P. Raymer,et al.  Aircraft Design: A Conceptual Approach , 1989 .

[3]  Xiaoping Du,et al.  AN EFFICIENT APPROACH TO PROBABILISTIC UNCERTAINTY ANALYSIS IN SIMULATION-BASED MULTIDISCIPLINARY DESIGN , 2000 .

[4]  Manolis Papadrakakis,et al.  Structural design optimization considering uncertainties , 2008 .

[5]  M. Elisabeth Paté-Cornell,et al.  Uncertainties in risk analysis: Six levels of treatment , 1996 .

[6]  B. Youn,et al.  Adaptive probability analysis using an enhanced hybrid mean value method , 2005 .

[7]  Daniel P. Thunnissen,et al.  Uncertainty Classification for the Design and Development of Complex Systems , 2003 .

[8]  E. Torenbeek,et al.  Synthesis of Subsonic Airplane Design , 1979 .

[9]  Jon C. Helton,et al.  Mathematical representation of uncertainty , 2001 .

[10]  Joongki Ahn,et al.  An efficient strategy for reliability-based multidisciplinary design optimization using BLISS , 2006 .

[11]  Dan Frangopol Structural Design Optimization Considering Uncertainties: Structures & Infrastructures Book , Vol. 1, Series, Series Editor: Dan M. Frangopol , 2008 .

[12]  Sankaran Mahadevan,et al.  All-at-Once Multidisciplinary Optimization with System and Component- Level Reliability Constraints , 2008 .

[13]  Kenneth F. Alvin,et al.  A New Methodology for the Estimation of Total Uncertainty in Computational Simulation , 1999 .

[14]  Deyi Xue,et al.  Parametric design with neural network relationships and fuzzy relationships considering uncertainties , 2010, Comput. Ind..

[15]  Marco Savoia,et al.  Structural reliability analysis through fuzzy number approach, with application to stability , 2002 .

[16]  Kyung K. Choi,et al.  Hybrid Analysis Method for Reliability-Based Design Optimization , 2003 .

[17]  Nikolaos V. Sahinidis,et al.  Optimization under uncertainty: state-of-the-art and opportunities , 2004, Comput. Chem. Eng..

[18]  J. William Ahwood,et al.  CLASSIFICATION , 1931, Foundations of Familiar Language.

[19]  Patrick N. Koch,et al.  A MULTI-STAGE, PARALLEL IMPLEMENTATION OF PROBABILISTIC DESIGN OPTIMIZATION IN AN MDO FRAMEWORK , 2000 .

[20]  E. Torenbeek Quick estimation of wing structural weight for preliminary aircraft design , 1972 .

[21]  Christian Cremona,et al.  The possibilistic reliability theory: theoretical aspects and applications , 1997 .

[22]  P. John Clarkson,et al.  A Classification of Uncertainty for Early Product and System Design , 2007 .

[23]  Kyung K. Choi,et al.  Reliability-based design optimization for crashworthiness of vehicle side impact , 2004 .

[24]  B. Youn,et al.  Enriched Performance Measure Approach for Reliability-Based Design Optimization. , 2005 .

[25]  Fan Hui,et al.  An Efficient Method for Reliability-based Multidisciplinary Design Optimization , 2008 .

[26]  Harish Agarwal,et al.  Reliability Based Design Optimization: Formulations and Methodologies , 2004 .