Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation

A minimum-variance unbiased estimation method is developed to identify the time-varying wind load from measured responses. The formula derivation of recursive identification equations is obtained in state space. The new approach can simultaneously estimate the entire wind load and the unknown struct...

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Main Authors: Huili Xue, Kun Lin, Yin Luo, Hongjun Liu
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2017/9301876
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author Huili Xue
Kun Lin
Yin Luo
Hongjun Liu
author_facet Huili Xue
Kun Lin
Yin Luo
Hongjun Liu
author_sort Huili Xue
collection DOAJ
description A minimum-variance unbiased estimation method is developed to identify the time-varying wind load from measured responses. The formula derivation of recursive identification equations is obtained in state space. The new approach can simultaneously estimate the entire wind load and the unknown structural responses only with limited measurement of structural acceleration response. The fluctuating wind speed process is investigated by the autoregressive (AR) model method in time series analysis. The accuracy and feasibility of the inverse approach are numerically investigated by identifying the wind load on a twenty-story shear building structure. The influences of the number and location of accelerometers are examined and discussed. In order to study the stability of the proposed method, the effects of the errors in crucial factors such as natural frequency and damping ratio are discussed through detailed parametric analysis. It can be found from the identification results that the proposed method can identify the wind load from limited measurement of acceleration responses with good accuracy and stability, indicating that it is an effective approach for estimating wind load on building structures.
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id doaj-art-71d08016ec0442778aec0ab6be0c99a4
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-71d08016ec0442778aec0ab6be0c99a42025-02-03T06:07:32ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/93018769301876Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased EstimationHuili Xue0Kun Lin1Yin Luo2Hongjun Liu3Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaShenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaShenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaShenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaA minimum-variance unbiased estimation method is developed to identify the time-varying wind load from measured responses. The formula derivation of recursive identification equations is obtained in state space. The new approach can simultaneously estimate the entire wind load and the unknown structural responses only with limited measurement of structural acceleration response. The fluctuating wind speed process is investigated by the autoregressive (AR) model method in time series analysis. The accuracy and feasibility of the inverse approach are numerically investigated by identifying the wind load on a twenty-story shear building structure. The influences of the number and location of accelerometers are examined and discussed. In order to study the stability of the proposed method, the effects of the errors in crucial factors such as natural frequency and damping ratio are discussed through detailed parametric analysis. It can be found from the identification results that the proposed method can identify the wind load from limited measurement of acceleration responses with good accuracy and stability, indicating that it is an effective approach for estimating wind load on building structures.http://dx.doi.org/10.1155/2017/9301876
spellingShingle Huili Xue
Kun Lin
Yin Luo
Hongjun Liu
Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation
Shock and Vibration
title Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation
title_full Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation
title_fullStr Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation
title_full_unstemmed Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation
title_short Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation
title_sort time varying wind load identification based on minimum variance unbiased estimation
url http://dx.doi.org/10.1155/2017/9301876
work_keys_str_mv AT huilixue timevaryingwindloadidentificationbasedonminimumvarianceunbiasedestimation
AT kunlin timevaryingwindloadidentificationbasedonminimumvarianceunbiasedestimation
AT yinluo timevaryingwindloadidentificationbasedonminimumvarianceunbiasedestimation
AT hongjunliu timevaryingwindloadidentificationbasedonminimumvarianceunbiasedestimation