Chao Ren

Postdoktor i digital tvillingmodellering av maskinlæringsforsterket maskineri

Chao Ren

Kontakt

E-post: chao.ren@uis.no

Organisasjonsenhet

Det teknisk-naturvitenskapelige fakultet

Institutt for maskin, bygg og materialteknologi

Publikasjoner

Vitenskapelige publikasjoner

Dai, Tianjiao; Zhang, Jiaxuan; Ren, Chao; Xing, Yihan; Sævik, Svein; Ye, Naiquan; Jin, Xing; Wu, Jun

(2024)

Application of a data-driven approach for maximum fatigue damage prediction of an unbonded flexible riser.

Ocean Engineering.

ISSN 0029-8018.

Volum 306.

DOI: 10.1016/j.oceaneng.2024.118053

Ren, Chao; Xing, Yihan; Patel, Karan Sandipkumar

(2024)

Application of an active learning method for cumulative fatigue damage assessment of floating wind turbine mooring lines.

Results in Engineering (RINENG).

ISSN 2590-1230.

Volum 22.

DOI: 10.1016/j.rineng.2024.102122

Ren, Chao; Tan, Jian; Xing, Yihan

(2023)

ALK-PE: An efficient active learning Kriging approach for wave energy converter power matrix estimation.

Ocean Engineering.

ISSN 0029-8018.

Volum 286.

DOI: 10.1016/j.oceaneng.2023.115566

Ren, Chao; Xing, Yihan

(2023)

Applying a machine learning method for cumulative fatigue damage estimation of the IEA 15MW wind turbine with monopile support structures.

IOP Conference Series: Materials Science and Engineering.

ISSN 1757-8981.

Volum 1294.

DOI: 10.1088/1757-899X/1294/1/012014

Ren, Chao; Xing, Yihan; Moen, Lyder

(2023)

Assessment of a novel PTO system for swell energy convertors using digital twin modelling.

IOP Conference Series: Materials Science and Engineering.

ISSN 1757-8981.

Volum 1294.

DOI: 10.1088/1757-899X/1294/1/012009

Formidling

Shahverdi, Masoumeh; Xing, Yihan; Ren, Chao

(2024)

PRACTICAL EXAMPLES OF IMPLEMENTING CHALLENGE-BASED LEARNING IN ENGINEERING EDUCATION FOR STUDENTS, LIFE-LONG LEARNERS AND EDUCATORS – EXPERIENCE AT THE UNIVERSITY OF STAVANGER, NORWAY.

18th International Technology, Education and Development Conference;

2024-03-04 - 2024-03-06.