Digital twins-enabled probabilistic deterioration assessment of floating offshore wind turbine towers under uncertainties

Junlin Heng; Jiaxin Zhang; You Dong; Sakdirat Kaewunruen; Charalampos Baniotopoulos

Digital twins-enabled probabilistic deterioration assessment of floating offshore wind turbine towers under uncertainties

Junlin Heng, Jiaxin Zhang, You Dong, Sakdirat Kaewunruen, Charalampos Baniotopoulos

Civil Engineering

Research output: Contribution to conference (unpublished) › Abstract › peer-review

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Abstract

The novel concept of modular energy islands comes with novels challenges, i.e., the coupled corrosion fatigue (CF) deterioration of floating wind turbine towers (FOWTTs). This work proposes a digital twins-based assessment approach to elucidate the CF feature of FOWTTs under uncertainties, by integrating both the site loads, material data, deterioration model and numerical simulation. The output highlights the notable C-F issue in FOWTTs, and offers basis for condition-based management.

Original language	English
Pages	49-51
Number of pages	3
Publication status	Published - 16 May 2023
Event	MODENERLANDS Strategic Workshop 2023 - University of Luxembourg, Luxembourg, Luxembourg Duration: 15 May 2023 → 16 May 2023 https://modenerlands.eu/activities/events/strategic-workshop-2023/

Conference

Conference	MODENERLANDS Strategic Workshop 2023
Country/Territory	Luxembourg
City	Luxembourg
Period	15/05/23 → 16/05/23
Internet address	https://modenerlands.eu/activities/events/strategic-workshop-2023/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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HengJ2023DigitalLicence: Creative Commons: Attribution (CC BY)

Resilient Modular Energy Islands
Baniotopoulos, C.
The Royal Society
12/08/22 → 11/02/23
Project: Research Councils

Cite this

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title = "Digital twins-enabled probabilistic deterioration assessment of floating offshore wind turbine towers under uncertainties",

abstract = "The novel concept of modular energy islands comes with novels challenges, i.e., the coupled corrosion fatigue (CF) deterioration of floating wind turbine towers (FOWTTs). This work proposes a digital twins-based assessment approach to elucidate the CF feature of FOWTTs under uncertainties, by integrating both the site loads, material data, deterioration model and numerical simulation. The output highlights the notable C-F issue in FOWTTs, and offers basis for condition-based management.",

author = "Junlin Heng and Jiaxin Zhang and You Dong and Sakdirat Kaewunruen and Charalampos Baniotopoulos",

year = "2023",

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TY - CONF

T1 - Digital twins-enabled probabilistic deterioration assessment of floating offshore wind turbine towers under uncertainties

AU - Heng, Junlin

AU - Zhang, Jiaxin

AU - Dong, You

AU - Kaewunruen, Sakdirat

AU - Baniotopoulos, Charalampos

PY - 2023/5/16

Y1 - 2023/5/16

N2 - The novel concept of modular energy islands comes with novels challenges, i.e., the coupled corrosion fatigue (CF) deterioration of floating wind turbine towers (FOWTTs). This work proposes a digital twins-based assessment approach to elucidate the CF feature of FOWTTs under uncertainties, by integrating both the site loads, material data, deterioration model and numerical simulation. The output highlights the notable C-F issue in FOWTTs, and offers basis for condition-based management.

AB - The novel concept of modular energy islands comes with novels challenges, i.e., the coupled corrosion fatigue (CF) deterioration of floating wind turbine towers (FOWTTs). This work proposes a digital twins-based assessment approach to elucidate the CF feature of FOWTTs under uncertainties, by integrating both the site loads, material data, deterioration model and numerical simulation. The output highlights the notable C-F issue in FOWTTs, and offers basis for condition-based management.

UR - https://modenerlands.eu/wp-content/uploads/2023/07/CA20109_SWLuxembourg.pdf

M3 - Abstract

SP - 49

EP - 51

T2 - MODENERLANDS Strategic Workshop 2023

Y2 - 15 May 2023 through 16 May 2023

ER -

Digital twins-enabled probabilistic deterioration assessment of floating offshore wind turbine towers under uncertainties

Abstract

Conference

UN SDGs

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Projects

Resilient Modular Energy Islands

Cite this