Uncertainty Quantification of State Estimation in Nonlinear Structural Systems with Application to Seismic Response in Buildings-Reference-Cited by-同舟云学术

Uncertainty Quantification of State Estimation in Nonlinear Structural Systems with Application to Seismic Response in Buildings

Published:2016-09 Issue:3 Volume:2 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:

Erazo Kalil¹,Hernandez Eric M.²

Affiliation:

1. Ph.D. Candidate, School of Engineering, Univ. of Vermont, Burlington, VT 05405; presently, Visiting Scholar, Dept. of Civil and Environmental Engineering, Rice Univ., 6100 Main St. 202 Ryon Laboratory, Houston, TX 77005.

2. Assistant Professor, School of Engineering, Univ. of Vermont, 33 Colchester Ave., 103 Votey Hall, Burlington, VT 05405 (corresponding author).

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/AJRUA6.0000837

Reference43 articles.

1. Material Parameter Identification in Distributed Plasticity FE Models of Frame-Type Structures Using Nonlinear Stochastic Filtering

2. Bernal D. and Nasseri A. (2009). “Schemes for reconstructing the seismic response of instrumented buildings.” SMIP 2009 Seminar on Seismological and Engineering Implications of Recent Strong Motion Data California Strong Motion Instrumentation Program Sacramento CA 23–38.

3. Dynamic characteristics of multi-story buildings;Blume J.;J. Struct. Div.,1968

4. Mathematical models of hysteresis;Bouc R.;Acustica,1971

5. Particle filter scheme with mutation for the estimation of time-invariant parameters in structural health monitoring applications

Cited by 18 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. Structural condition assessment with structural health monitoring systems and nonlinear simplified models;Earthquake Engineering & Structural Dynamics;2024-04-17

2. Parameter Estimation of Stochastic Fractional Dynamic Systems Using Nonlinear Bayesian Filtering System Identification Methods;Journal of Engineering Mechanics;2024-02

3. Comparison of Constrained Unscented and Cubature Kalman Filters for Nonlinear System Parameter Identification;Journal of Engineering Mechanics;2023-11

4. Lower bound of structural damage to achieve practical identifiability of nonlinear models in seismic structural health monitoring;Earthquake Engineering & Structural Dynamics;2023-09-09

5. Evaluating maximum inter-story drift ratios of building structures using time-varying models and Bayesian filters;Soil Dynamics and Earthquake Engineering;2022-11