Technical Papers
Apr 27, 2020

Functional Series Expansions and Quadratic Approximations for Enhancing the Accuracy of the Wiener Path Integral Technique

Publication: Journal of Engineering Mechanics
Volume 146, Issue 7

Abstract

A novel Wiener path integral (WPI) technique is developed for determining the response of stochastically excited nonlinear oscillators. This is done by employing functional series expansions in conjunction with quadratic approximations. The technique can be construed as an extension and enhancement in terms of accuracy of the standard (semiclassical) WPI solution approach where only the most probable path connecting initial and final states is considered for determining the joint response probability density function (PDF). In contrast, the technique developed herein accounts also for fluctuations around the most probable path, thus yielding an increased accuracy degree. An additional significant advantage of the proposed enhancement as compared to the most probable path approach relates to the fact that low-probability events (e.g., failure probabilities) can be estimated directly in a computationally efficient manner by determining only a few points of the joint response PDF. Specifically, the normalization step in the standard approach, which requires the evaluation of the joint response PDF over its entire effective domain, is circumvented. The performance of the technique is assessed in several numerical examples pertaining to various oscillators exhibiting diverse nonlinear behaviors, where analytical results are set vis-à-vis pertinent Monte Carlo simulation data.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

I. A. Kougioumtzoglou gratefully acknowledges the support through his CAREER award by the CMMI Division of the National Science Foundation (Award No. 1748537).

References

Alevras, P., and D. Yurchenko. 2016. “GPU computing for accelerating the numerical path integration approach.” Comput. Struct. 171 (Jul): 46–53. https://doi.org/10.1016/j.compstruc.2016.05.002.
Arnold, L. 1974. Stochastic differential equations: Theory and applications. New York: Wiley.
Au, S.-K., and Y. Wang. 2014. Engineering risk assessment with subset simulation. New York: Wiley.
Cartier, P., and C. DeWitt-Morette. 2006. Functional integration: Action and symmetries. Cambridge, UK: Cambridge University Press.
Chaichian, M., and A. Demichev. 2001. Path integrals in physics, vol. I: Stochastic processes and quantum mechanics. Bristol, UK: Institute of Physics Publishing.
Cinkir, Z. 2012. “An elementary algorithm for computing the determinant of pentadiagonal Toeplitz matrices.” J. Comput. Appl. Math. 236 (9): 2298–2305. https://doi.org/10.1016/j.cam.2011.11.017.
Di Matteo, A., I. A. Kougioumtzoglou, A. Pirrotta, P. D. Spanos, and M. Di Paola. 2014. “Stochastic response determination of nonlinear oscillators with fractional derivatives elements via the Wiener path integral.” Probab. Eng. Mech. 38 (Oct): 127–135. https://doi.org/10.1016/j.probengmech.2014.07.001.
Di Paola, M., and R. Santoro. 2008. “Path integral solution for non-linear system enforced by Poisson white noise.” Probab. Eng. Mech. 23 (2–3): 164–169. https://doi.org/10.1016/j.probengmech.2007.12.029.
Ewing, G. M. 1985. Calculus of variations with applications. New York: Dover Publications.
Feynman, R. P., and A. R. Hibbs. 1965. Quantum mechanics and path integrals. New York: McGraw-Hill.
Freed, K. F. 1971. “Wiener integrals and models of stiff polymer chains.” J. Chem. Phys. 54 (4): 1453–1463. https://doi.org/10.1063/1.1675038.
Gardiner, C. W. 1985. Handbook of stochastic methods for physics, chemistry, and the natural sciences. New York: Springer.
Gelfand, I., and S. Fomin. 1963. Calculus of variations. Englewood Cliffs, NJ: Prentice Hall.
Gelfand, I. M., and A. M. Yaglom. 1960. “Integration in functional spaces and its applications in quantum physics.” J. Math. Phys. 1 (1): 48–69. https://doi.org/10.1063/1.1703636.
Ghanem, R. G., and P. D. Spanos. 2003. Stochastic finite elements: A spectral approach. Minneola, NY: Dover Publications.
Gihman, I. I., A. V. Skorohod, and A. V. Skorohod. 1972. Stochastic differential equations. New York: Springer.
Grigoriu, M. 2002. Stochastic calculus: Applications in science and engineering. New York: Springer.
Kitahara, K., H. Metiu, and J. Ross. 1975. “A stochastic theory of cluster growth in homogeneous nucleation.” J. Chem. Phys. 63 (7): 3156–3160. https://doi.org/10.1063/1.431744.
Kougioumtzoglou, I. A. 2017. “A Wiener path integral solution treatment and effective material properties of a class of one-dimensional stochastic mechanics problems.” J. Eng. Mech. 143 (6): 04017014. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001211.
Kougioumtzoglou, I. A., A. Di Matteo, P. D. Spanos, A. Pirrotta, and M. Di Paola. 2015. “An efficient Wiener path integral technique formulation for stochastic response determination of nonlinear MDOF systems.” J. Appl. Mech. 82 (10): 101005. https://doi.org/10.1115/1.4030890.
Kougioumtzoglou, I. A., and P. D. Spanos. 2012. “An analytical Wiener path integral technique for non-stationary response determination of nonlinear oscillators.” Probab. Eng. Mech. 28 (Apr): 125–131. https://doi.org/10.1016/j.probengmech.2011.08.022.
Kougioumtzoglou, I. A., and P. D. Spanos. 2014. “Nonstationary stochastic response determination of nonlinear systems: A Wiener path integral formalism.” J. Eng. Mech. 140 (9): 04014064. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000780.
Laing, J. R., and K. F. Freed. 1977. “A semiclassical magnus approximation to coupled space-time-dependent scattering equations.” Chem. Phys. 19 (1): 91–117. https://doi.org/10.1016/0301-0104(77)80008-6.
Langouche, F., D. Roekaerts, and E. Tirapegui. 1979. “Functional integrals and the Fokker-Planck equation.” Il Nuovo Cimento B (1971-1996) 53 (1): 135–159. https://doi.org/10.1007/BF02739307.
Langouche, F., D. Roekaerts, and E. Tirapegui. 1982. Functional integration and semiclassical expansions. New York: Springer.
Li, J., and J. Chen. 2009. Stochastic dynamics of structures. New York: Wiley.
Lin, Y.-K. 1967. Probabilistic theory of structural dynamics. New York: McGraw-Hill.
Lutes, L. D., and S. Sarkani. 2004. Random vibrations: Analysis of structural and mechanical systems. Burlington, MA: Elsevier-Butterworth-Heinemann.
Naess, A., and J. Johnsen. 1993. “Response statistics of nonlinear, compliant offshore structures by the path integral solution method.” Probab. Eng. Mech. 8 (2): 91–106. https://doi.org/10.1016/0266-8920(93)90003-E.
Naess, A., and V. Moe. 1996. “Stationary and non-stationary random vibration of oscillators with bilinear hysteresis.” Int. J. Non Linear Mech. 31 (5): 553–562. https://doi.org/10.1016/0020-7462(96)00020-0.
Petromichelakis, I., A. F. Psaros, and I. A. Kougioumtzoglou. 2018. “Stochastic response determination and optimization of a class of nonlinear electromechanical energy harvesters: A Wiener path integral approach.” Probab. Eng. Mech. 53 (Jun): 116–125. https://doi.org/10.1016/j.probengmech.2018.06.004.
Psaros, A. F., O. Brudastova, G. Malara, and I. A. Kougioumtzoglou. 2018a. “Wiener path integral based response determination of nonlinear systems subject to non-white, non-Gaussian, and non-stationary stochastic excitation.” J. Sound Vib. 433 (Oct): 314–333. https://doi.org/10.1016/j.jsv.2018.07.013.
Psaros, A. F., I. A. Kougioumtzoglou, and I. Petromichelakis. 2018b. “Sparse representations and compressive sampling for enhancing the computational efficiency of the Wiener path integral technique.” Mech. Syst. Sig. Process. 111 (Oct): 87–101. https://doi.org/10.1016/j.ymssp.2018.03.056.
Psaros, A. F., I. Petromichelakis, and I. A. Kougioumtzoglou. 2019. “Wiener path integrals and multi-dimensional global bases for non-stationary stochastic response determination of structural systems.” Mech. Syst. Sig. Process. 128 (Aug): 551–571. https://doi.org/10.1016/j.ymssp.2019.04.014.
Reed, M., and B. Simon. 1975. Vol. 2 of Fourier analysis and self-adjointness. San Diego: Elsevier-Academic Press.
Risken, H. 1984. The Fokker-Planck equation: Methods of solution and applications. New York: Springer.
Roberts, J. B., and P. D. Spanos. 2003. Random vibration and statistical linearization. Mineola, NY: Dover Publications.
Schilder, M. 1966. “Some asymptotic formulas for Wiener integrals.” Trans. Am. Math. Soc. 125 (1): 63–85. https://doi.org/10.1090/S0002-9947-1966-0201892-6.
Schulman, L. S. 1981. Techniques and applications of path integration. New York: Wiley.
Sogabe, T. 2008. “A fast numerical algorithm for the determinant of a pentadiagonal matrix.” Appl. Math. Comput. 196 (2): 835–841. https://doi.org/10.1016/j.amc.2007.07.015.
Soong, T. T., and M. Grigoriu. 1993. Random vibration of mechanical and structural systems. Englewood Cliffs, NJ: Prentice Hall.
Strang, G. 2016. Introduction to linear algebra. Wellesley, MA: Wellesley-Cambridge Press.
Wehner, M. F., and W. G. Wolfer. 1983. “Numerical evaluation of path-integral solutions to Fokker-Planck equations.” Phys. Rev. A 27 (5): 2663–2670. https://doi.org/10.1103/PhysRevA.27.2663.
Wiegel, F. W. 1986. Introduction to path-integral methods in physics and polymer science. Singapore: World Scientific.
Wiener, N. 1921. “The average of an analytic functional and the Brownian movement.” PNAS 7 (10): 294. https://doi.org/10.1073/pnas.7.10.294.
Wio, H. S. 2013. Path integrals for stochastic processes: An introduction. Singapore: World Scientific.
Wong, R. 2001. Vol. 34 of Asymptotic approximations of integrals. Philadelphia: Society for Industrial and Applied Mathematics.
Zee, A. 2010. Quantum field theory in a nutshell. 2nd ed. Princeton, NJ: Princeton University Press.

Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 146Issue 7July 2020

History

Received: Oct 11, 2019
Accepted: Jan 17, 2020
Published online: Apr 27, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 27, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Postdoctoral Research Scientist, Dept. of Civil Engineering and Engineering Mechanics, Columbia Univ., 610 S.W. Mudd Bldg., 500 W. 120th St., New York, NY 10027. ORCID: https://orcid.org/0000-0002-0995-4738. Email: [email protected]
Ioannis A. Kougioumtzoglou, M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering and Engineering Mechanics, Columbia Univ., 610 S.W. Mudd Bldg., 500 W. 120th St., New York, NY 10027 (corresponding author). Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share