Title

Implementation of digital twin and support vector machine in structural health monitoring of bridges

Journal title

Archives of Civil Engineering

Yearbook

2023

Volume

vol. 69

Issue

No 3

Affiliation

Al-Hijazeen, Asseel Za'al Ode : Budapest University of Technology and Economics, Faculty of Civil Engineering, Muegyetem rkp. 3, 1111 Budapest, Hungary ; Fawad, Muhammad : Budapest University of Technology and Economics, Faculty of Civil Engineering, Muegyetem rkp. 3, 1111 Budapest, Hungary ; Koris, Kalman : Budapest University of Technology and Economics, Faculty of Civil Engineering, Muegyetem rkp. 3, 1111 Budapest, Hungary ; Fawad, Muhammad : Silesian University of Technology, Faculty of Civil Engineering, ul. Akademicka 2A, 44-100 Gliwice, Poland ; Salamak, Marek : Silesian University of Technology, Faculty of Civil Engineering, ul. Akademicka 2A, 44-100 Gliwice, Poland ; Gerges, Michael : University of Wolverhampton, Wulfruna St, Wolverhampton WV1 1LY, the United Kingdom

Authors

Al-Hijazeen, Asseel Za'al Ode ; Fawad, Muhammad ; Gerges, Michael ; Koris, Kalman ; Salamak, Marek

Keywords

structural health monitoring ; bridges ; damages ; digital twin ; machine learning ; support vector machine

Divisions of PAS

Nauki Techniczne

Coverage

31-47

Publisher

WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES

Date

2023.09.18

Type

Review paper

Identifier

DOI: 10.24425/ace.2023.146065