Kalman filter–random forest‐based method of dynamic load identification for structures with interval uncertainties-Reference-Cited by-同舟云学术

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Kalman filter–random forest‐based method of dynamic load identification for structures with interval uncertainties

Published:2022-02-05 Issue:5 Volume:29 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Structural Contr & Hlth

Author:

Liu Yaru¹,Wang Lei¹²³^ORCID,Li Min¹

Affiliation:

1. Institute of Solid Mechanics, School of Aeronautic Science and Engineering Beihang University Beijing China

2. School of Engineering Cardiff University Cardiff UK

3. Aircraft and Propulsion Laboratory, Ningbo Institute of Technology Beihang University Ningbo China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2935

Reference47 articles.

1. Time-varying wind load identification from structural responses

2. AN INTERPRETIVE METHOD FOR MOVING FORCE IDENTIFICATION

3. A state space force identification method based on Markov parameters precise computation and regularization technique

4. An efficient method to reduce ill-posedness for structural dynamic load identification

5. Model Verification of Force Determination for Measuring Vibratory Loads

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4. A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm;Applied Energy;2024-04

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