Uncertainty Propagation in a Hybrid Data-Driven and Physics-Based Submodeling Method for Refined Response Estimation-Reference-Cited by-同舟云学术

Uncertainty Propagation in a Hybrid Data-Driven and Physics-Based Submodeling Method for Refined Response Estimation

Published:2020 Issue: Volume: Page:349-359
ISSN:2191-5644
Container-title:Model Validation and Uncertainty Quantification, Volume 3
language:
Short-container-title:

Author:

Valeti Bhavana,Pakzad Shamim N.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-47638-0_38

Reference36 articles.

1. Chang, M., Pakzad, S.N.: Observer Kalman filter identification for output-only systems using interactive Structural Modal Identification Toolsuite (SMIT). J. Bridg. Eng. 19(5), 1–11 (2013)

2. Shahidi, S.G., Pakzad, S.N.: Effect of measurement noise and excitation on generalized response surface model updating. Eng. Struct. 75, 51–62 (Sep. 2014)

3. Dorvash, S., Pakzad, S.N., LaCrosse, E.L., Ricles, J.M., Hodgson, I.C.: Localized damage detection algorithm and implementation on a large-scale steel beam-to-column moment connection. Earthquake Spectra. 31(3), 1543–1566 (Aug. 2015)

4. Valeti, B., Pakzad, S.N.: Remaining useful life estimation of wind turbine blades under variable wind speed conditions using particle filters. Proc. Annu. Conf. PHM Soc. 10(1), 1–10 (Sep. 2018)

5. Valeti, B., Pakzad, S.N.: Estimation of remaining useful life of a fatigue damaged wind turbine blade with particle filters. In: Conference Proceedings of the Society for Experimental Mechanics Series, pp. 319–328. Springer, Cham (2019)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Dimensional Uncertainty Quantification in a Hybrid Data + Model-Based Submodeling Method for Refined Response Estimation at Critical Locations;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2021-09