Framework for Probabilistic Assessment of Maximum Nonlinear Structural Response Based on Sensor Measurements: Discretization and Estimation-Reference-Cited by-同舟云学术

Framework for Probabilistic Assessment of Maximum Nonlinear Structural Response Based on Sensor Measurements: Discretization and Estimation

Published:2017-09 Issue:9 Volume:143 Page:04017062
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Saini Ajay¹^ORCID,Tien Iris²

Affiliation:

1. Ph.D. Candidate, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta, GA 30332-0355 (corresponding author). ORCID: .

2. Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta, GA 30332-0355.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001277

Reference40 articles.

1. Novel Unscented Kalman Filter for Health Assessment of Structural Systems with Unknown Input

2. Bayesian operational modal analysis: Theory, computation, practice

3. Bouc R. (1967). “Forced vibration of mechanical systems with hysteresis.” Proc. 4th Conf. on Nonlinear Oscillation Prague Czech Republic 315.

4. The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing

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