Bartholomew, E.K. and Lim, E.S. and Toloue, I. and Liew, M.S. and Danyaro, K.U. and Chan, K.M. and Ling, S.W. (2022) Physics-Based Structural Health Monitoring Digital Twin for Seismically Vulnerable Fixed Offshore Structures. In: UNSPECIFIED.
Full text not available from this repository.Abstract
An Autonomous Structural Health Monitoring (SHM) System for Fixed Offshore Structures is a tool used to monitor the state or the health of a structure in terms of its integrity and strength in an automated manner. An SHM system framework comprises of software and hardware integration equipped with IoT capability to collect raw data, online data transmittal to onshore, a back-end engine to process data into useful engineering information and display the monitoring results through engineering parameters and digital twinning, which emulates the real condition of the structure offshore. The prominent monitoring method for a structure's strength is through global monitoring, using structural modal properties as the measuring parameter to indentify a certain structure's global integrity, specifically using its natural frequency. This paper aims to layout the framework of an autonomous SHM system for global monitoring which is implemented onto a seismically vulnerable fixed offshore structure. Copyright © 2022, Offshore Technology Conference.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 2022 Offshore Technology Conference Asia, OTCA 2022 ; Conference Date: 22 March 2022 Through 25 March 2022; Conference Code:187172 |
Uncontrolled Keywords: | Offshore structures; Offshore technology; Structural health monitoring, Fixed offshore structures; Global monitoring; Hardware integrations; Online data; Physics-based; Process data; Software and hardwares; Software integration; Structural health monitoring systems; System framework, Offshore oil well production |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 19 Dec 2023 03:23 |
Last Modified: | 19 Dec 2023 03:23 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/17208 |