A Wiener path integral (WPI) technique based on a variational formulation is developed for nonlinear oscillator stochastic response determination and reliability assessment. This is done in conjunction with a stochastic averaging/linearization treatment of the problem. Specifically, first, the nonlinear oscillator is cast into an equivalent linear one with time-varying stiffness and damping elements. Next, relying on the concept of the most probable path, a closed-form approximate analytical expression for the oscillator joint transition probability density function (PDF) is derived for small time intervals. Finally, the transition PDF in conjunction with a discrete version of the Chapman–Kolmogorov (C–K) equation is utilized for advancing the solution in short-time steps. In this manner, not only the nonstationary response PDF but also the oscillator survival probability and first-passage PDF are determined. In comparison with existing numerical path integral schemes, a significant advantage of the proposed WPI technique is that closed-form analytical expressions are derived for the involved multidimensional integrals; thus, the computational cost is kept at a minimum level. The hardening Duffing and the bilinear hysteretic oscillators are considered as numerical examples. Comparisons with pertinent Monte Carlo simulation (MCS) data demonstrate the reliability of the developed technique.
Skip Nav Destination
Article navigation
June 2015
Research Papers
Nonlinear Oscillator Stochastic Response and Survival Probability Determination via the Wiener Path Integral
Yuanjin Zhang,
Yuanjin Zhang
Institute for Risk and Uncertainty,
University of Liverpool
, Liverpool L69 3GH
, UK
e-mail: ylzhyj@liverpool.ac.uk
Search for other works by this author on:
Ioannis A. Kougioumtzoglou
Ioannis A. Kougioumtzoglou
Department of Civil Engineering and Engineering Mechanics,
The Fu Foundation School of Engineering and Applied Science, Columbia University
, New York, NY 10027
e-mail: ikougioum@columbia.edu
Search for other works by this author on:
Yuanjin Zhang
Institute for Risk and Uncertainty,
University of Liverpool
, Liverpool L69 3GH
, UK
e-mail: ylzhyj@liverpool.ac.uk
Ioannis A. Kougioumtzoglou
Department of Civil Engineering and Engineering Mechanics,
The Fu Foundation School of Engineering and Applied Science, Columbia University
, New York, NY 10027
e-mail: ikougioum@columbia.eduManuscript received September 1, 2014; final manuscript received January 20, 2015; published online April 20, 2015. Assoc. Editor: Athanasios Pantelous.
ASME J. Risk Uncertainty Part B. Jun 2015, 1(2): 021005 (15 pages)
Published Online: April 20, 2015
Article history
Received:
September 1, 2014
Revision Received:
January 20, 2015
Accepted:
February 5, 2015
Online:
April 20, 2015
Citation
Zhang, Y., and Kougioumtzoglou, I. A. (April 20, 2015). "Nonlinear Oscillator Stochastic Response and Survival Probability Determination via the Wiener Path Integral." ASME. ASME J. Risk Uncertainty Part B. June 2015; 1(2): 021005. https://doi.org/10.1115/1.4029754
Download citation file:
Get Email Alerts
Cited By
The ASME Ayyub-Wiechel Risk Analysis Award
ASME J. Risk Uncertainty Part B (December 2024)
Uncertainty Quantification In The Prediction of Remaining Useful Life Considering Multiple Failure Modes
ASME J. Risk Uncertainty Part B
Identification of crashworthy designs combining active learning and the solution space methodology
ASME J. Risk Uncertainty Part B
Related Articles
Exact Closed-Form Fractional Spectral Moments for Linear Fractional
Oscillators Excited by a White Noise
ASME J. Risk Uncertainty Part B (September,2017)
Unified Probabilistic Approach for Model Updating and Damage Detection
J. Appl. Mech (July,2006)
Modified Path Integral Solution of Fokker–Planck Equation: Response and Bifurcation of Nonlinear Systems
J. Comput. Nonlinear Dynam (January,2010)
Path Integral Method for Nonlinear Systems Under Levy White Noise
ASME J. Risk Uncertainty Part B (September,2017)
Articles from Part A: Civil Engineering
Analytical Nonstationary Response of Linear Stochastic MDOF Systems Endowed with Half-Order Fractional Derivative Elements
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (March,2024)
Model Distance–Based Global–Local Response-Sensitivity Indexes for Randomly Inhomogeneous Structures under Stochastic Excitations
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (September,2018)
Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (March,2021)
Uncertainty Quantification of Power Spectrum and Spectral Moments Estimates Subject to Missing Data
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (December,2017)
Related Proceedings Papers
Related Chapters
A Probabilistic Structural Reliability Assessment of Existing North Sea Platforms
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)
STRUCTURAL RELIABILITY ASSESSMENT OF PIPELINE GIRTH WELDS USING GAUSSIAN PROCESS REGRESSION
Pipeline Integrity Management Under Geohazard Conditions (PIMG)