Uncertainty analysis, which assesses the impact of the uncertainty of input variables on responses, is an indispensable component in engineering design under uncertainty, such as reliability-based design and robust design. However, uncertainty analysis is an unaffordable computational burden in many engineering problems. In this paper, an uncertainty analysis method is proposed with the purpose of accurately and efficiently estimating the cumulative distribution function (CDF), probability density function (PDF), and statistical moments of a response given the distributions of input variables. The bivariate dimension reduction method and numerical integration are used to calculate the moments of the response; then saddlepoint approximations are employed to estimate the CDF and PDF of the response. The proposed method requires neither the derivatives of the response nor the search of the most probable point, which is needed in the commonly used first and second order reliability methods (FORM and SORM) and the recently developed first order saddlepoint approximation. The efficiency and accuracy of the proposed method is illustrated with three example problems. With the same computational cost, this method is more accurate for reliability assessment and much more efficient for estimating the full range of the distribution of a response than FORM and SORM. This method provides results as accurate as Monte Carlo simulation, with significantly reduced computational effort.
Skip Nav Destination
e-mail: dux@umr.edu
Article navigation
January 2006
Research Papers
Uncertainty Analysis by Dimension Reduction Integration and Saddlepoint Approximations
Beiqing Huang, Ph.D. Candidate,
Beiqing Huang, Ph.D. Candidate
Graduate Research Assistant
Department of Mechanical and Aerospace Engineering,
University of Missouri–Rolla
Search for other works by this author on:
Xiaoping Du, Dr.
Xiaoping Du, Dr.
Assistant Professor
Department of Mechanical and Aerospace Engineering,
e-mail: dux@umr.edu
University of Missouri–Rolla
Search for other works by this author on:
Beiqing Huang, Ph.D. Candidate
Graduate Research Assistant
Department of Mechanical and Aerospace Engineering,
University of Missouri–Rolla
Xiaoping Du, Dr.
Assistant Professor
Department of Mechanical and Aerospace Engineering,
University of Missouri–Rolla
e-mail: dux@umr.edu
J. Mech. Des. Jan 2006, 128(1): 26-33 (8 pages)
Published Online: March 30, 2005
Article history
Received:
January 21, 2005
Revised:
March 29, 2005
Accepted:
March 30, 2005
Citation
Huang, B., and Du, X. (March 30, 2005). "Uncertainty Analysis by Dimension Reduction Integration and Saddlepoint Approximations." ASME. J. Mech. Des. January 2006; 128(1): 26–33. https://doi.org/10.1115/1.2118667
Download citation file:
Get Email Alerts
Multi-Split Configuration Design for Fluid-Based Thermal Management Systems
J. Mech. Des (February 2025)
Related Articles
Probabilistic Assessment of Structures using Monte Carlo Simulations
Appl. Mech. Rev (March,2002)
A Modified Reliability Index Approach for Reliability-Based Design Optimization
J. Mech. Des (April,2011)
A Unified Framework for Integrated Optimization Under Uncertainty
J. Mech. Des (May,2010)
Saddlepoint Approximation for Sequential Optimization and Reliability Analysis
J. Mech. Des (January,2008)
Related Proceedings Papers
Related Chapters
STRUCTURAL RELIABILITY ASSESSMENT OF PIPELINE GIRTH WELDS USING GAUSSIAN PROCESS REGRESSION
Pipeline Integrity Management Under Geohazard Conditions (PIMG)
Establishing Unmanning Criteria for a Jacket Structure on the NCS
Ageing and Life Extension of Offshore Facilities
A PSA Update to Reflect Procedural Changes (PSAM-0217)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)