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Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure

Identification of the time-varying linear and nonlinear impulse response functions (LIRF and QIRF) of moored or tethering floating structures is deemed a very challenging work because of nonlinearity and nonstationarity. This paper proposes an identification method, namely a time domain parametric V...

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Main Authors: Yazid, E., Ng, C.Y.
Format: Article
Published: Elsevier Ltd 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097074909&doi=10.1016%2fj.oceaneng.2020.108370&partnerID=40&md5=8a190f849db7803f9d39119debdb1e71
http://eprints.utp.edu.my/23744/
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spelling my.utp.eprints.237442021-08-19T10:01:52Z Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure Yazid, E. Ng, C.Y. Identification of the time-varying linear and nonlinear impulse response functions (LIRF and QIRF) of moored or tethering floating structures is deemed a very challenging work because of nonlinearity and nonstationarity. This paper proposes an identification method, namely a time domain parametric Volterra model based on Cuckoo search optimized Kalman smoother (CS-KS) to identify the LIRF and QIRF of 1:100 scale model test of spar platform. A conventional frequency domain Volterra model is used as a benchmark. Given the numerical and model test data in terms of measured wave height and surge motion of the platform, the proposed identification method can produce high time resolution of the time-varying LIRF and QIRF. The linear and nonlinear responses as well as natural frequency and damping ratio can be accurately extracted. Through numerical simulation supported by experimental results, this paper also highlights the practical benefits of the proposed identification method to estimate the time-varying kernel coefficients. © 2020 Elsevier Ltd Elsevier Ltd 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097074909&doi=10.1016%2fj.oceaneng.2020.108370&partnerID=40&md5=8a190f849db7803f9d39119debdb1e71 Yazid, E. and Ng, C.Y. (2021) Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure. Ocean Engineering, 219 . http://eprints.utp.edu.my/23744/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Identification of the time-varying linear and nonlinear impulse response functions (LIRF and QIRF) of moored or tethering floating structures is deemed a very challenging work because of nonlinearity and nonstationarity. This paper proposes an identification method, namely a time domain parametric Volterra model based on Cuckoo search optimized Kalman smoother (CS-KS) to identify the LIRF and QIRF of 1:100 scale model test of spar platform. A conventional frequency domain Volterra model is used as a benchmark. Given the numerical and model test data in terms of measured wave height and surge motion of the platform, the proposed identification method can produce high time resolution of the time-varying LIRF and QIRF. The linear and nonlinear responses as well as natural frequency and damping ratio can be accurately extracted. Through numerical simulation supported by experimental results, this paper also highlights the practical benefits of the proposed identification method to estimate the time-varying kernel coefficients. © 2020 Elsevier Ltd
format Article
author Yazid, E.
Ng, C.Y.
spellingShingle Yazid, E.
Ng, C.Y.
Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure
author_facet Yazid, E.
Ng, C.Y.
author_sort Yazid, E.
title Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure
title_short Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure
title_full Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure
title_fullStr Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure
title_full_unstemmed Identification of time-varying linear and nonlinear impulse response functions using parametric Volterra model from model test data with application to a moored floating structure
title_sort identification of time-varying linear and nonlinear impulse response functions using parametric volterra model from model test data with application to a moored floating structure
publisher Elsevier Ltd
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097074909&doi=10.1016%2fj.oceaneng.2020.108370&partnerID=40&md5=8a190f849db7803f9d39119debdb1e71
http://eprints.utp.edu.my/23744/
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score 13.211869

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