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Robustness-evaluation of a stochastic dynamic system and the instant equivalent extreme-value event

Luchuan Ding (UGent) , Wouter Botte (UGent) , Ruben Van Coile (UGent) and Robby Caspeele (UGent)
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Abstract
Many theoretical methods for evaluating robustness have been developed in the last decades. Especially probability‐based robustness quantification promises to provide a rational basis for decision‐making. To allow for this type of robustness evaluation, the probability of failure (or the corresponding reliability index) of the structural system in the damaged and the undamaged state has to be determined. In this paper, the Probability Density Evolution Method (PDEM) is used to evaluate the dynamic reliability, taking into account the randomness which comes both from the excitation and from the stochastic system properties. The efficiency of the PDEM for robustness quantification is evaluated through a simple cargo crane example case. In addition, the instant equivalent extreme‐value event, which is quite different from the equivalent extreme‐value event for one variable, is applied to obtain the extreme value of reaction forces for each sample at instant time.
Keywords
: structural robustness, reliability, Probability Density Evolution Method, numerical analysis

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Please use this url to cite or link to this publication:

MLA
Ding, Luchuan et al. “Robustness-evaluation of a Stochastic Dynamic System and the Instant Equivalent Extreme-value Event.” BETON- UND STAHLBETONBAU 113 (2018): 33–37. Print.
APA
Ding, L., Botte, W., Van Coile, R., & Caspeele, R. (2018). Robustness-evaluation of a stochastic dynamic system and the instant equivalent extreme-value event. BETON- UND STAHLBETONBAU , 113, 33–37.
Chicago author-date
Ding, Luchuan, Wouter Botte, Ruben Van Coile, and Robby Caspeele. 2018. “Robustness-evaluation of a Stochastic Dynamic System and the Instant Equivalent Extreme-value Event.” Beton- Und Stahlbetonbau 113: 33–37.
Chicago author-date (all authors)
Ding, Luchuan, Wouter Botte, Ruben Van Coile, and Robby Caspeele. 2018. “Robustness-evaluation of a Stochastic Dynamic System and the Instant Equivalent Extreme-value Event.” Beton- Und Stahlbetonbau 113: 33–37.
Vancouver
1.
Ding L, Botte W, Van Coile R, Caspeele R. Robustness-evaluation of a stochastic dynamic system and the instant equivalent extreme-value event. BETON- UND STAHLBETONBAU . Wiley; 2018;113:33–7.
IEEE
[1]
L. Ding, W. Botte, R. Van Coile, and R. Caspeele, “Robustness-evaluation of a stochastic dynamic system and the instant equivalent extreme-value event,” BETON- UND STAHLBETONBAU , vol. 113, pp. 33–37, 2018.
@article{8574008,
  abstract     = {Many theoretical methods for evaluating robustness have been developed in the last decades. Especially probability‐based robustness quantification promises to provide a rational basis for decision‐making. To allow for this type of robustness evaluation, the probability of failure (or the corresponding reliability index) of the structural system in the damaged and the undamaged state has to be determined. In this paper, the Probability Density Evolution Method (PDEM) is used to evaluate the dynamic reliability, taking into account the randomness which comes both from the excitation and from the stochastic system properties. The efficiency of the PDEM for robustness quantification is evaluated through a simple cargo crane example case. In addition, the instant equivalent extreme‐value event, which is quite different from the equivalent extreme‐value event for one variable, is applied to obtain the extreme value of reaction forces for each sample at instant time.},
  author       = {Ding, Luchuan and Botte, Wouter and Van Coile, Ruben and Caspeele, Robby},
  issn         = {0005-9900},
  journal      = {BETON- UND STAHLBETONBAU },
  keywords     = {: structural robustness,reliability,Probability Density Evolution Method,numerical analysis},
  language     = {eng},
  pages        = {33--37},
  publisher    = {Wiley},
  title        = {Robustness-evaluation of a stochastic dynamic system and the instant equivalent extreme-value event},
  url          = {http://dx.doi.org/10.1002/best.201800046},
  volume       = {113},
  year         = {2018},
}

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