Flutter Derivatives Identification and Uncertainty Quantification for Bridge Decks Based on the Artificial Bee Colony Algorithm and Bootstrap Technique

Flutter Derivatives Identification and Uncertainty Quantification for Bridge Decks Based on the Artificial Bee Colony Algorithm and Bootstrap Technique

This paper presents a novel parameter identification and uncertainty quantification method for flutter derivatives estimation of bridge decks. The proposed approach is based on free-decay vibration records of a sectional model in wind tunnel tests, which consists of parameter identification by a heu...

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Bibliographic Details
Main Authors: Zhouquan Feng, Yang Lin
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
flutter derivatives
bridge deck
artificial bee colony
bootstrap
weighting factors
Online Access:https://www.mdpi.com/2076-3417/11/23/11376

Internet

https://www.mdpi.com/2076-3417/11/23/11376

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