Displacement Estimation of a Nonlinear SDOF System under Seismic Excitation Using an Adaptive Kalman Filter-Reference-Cited by-同舟云学术

Displacement Estimation of a Nonlinear SDOF System under Seismic Excitation Using an Adaptive Kalman Filter

Published:2022-03 Issue:1 Volume:8 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Yang Yaohua¹,Nagayama Tomonori²^ORCID,Xue Kai¹,Su Di³

Affiliation:

1. Postdoctoral Researcher, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan.

2. Associate Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan (corresponding author). ORCID: .

3. Associate Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001213

Reference44 articles.

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3. Çelebi M. 2008. “Real-time monitoring of drift for occupancy resumption.” In Proc. 14th World Conf. on Earthquake Engineering (14WCEE). Oakland CA: Earthquake Engineering Research Institute.

4. Real-Time Seismic Monitoring Needs of a Building Owner—and the Solution: A Cooperative Effort

5. Online correction of drift in structural identification using artificial white noise observations and an unscented Kalman Filter

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