Session: 02-16-01 Data-driven Models for Marine Structures 1

Paper Number: 81437

81437 - A Study on the Error Characteristics and Compensation Algorithm for Strain Gauge in Ship Structure Monitoring Systems 

The ship structural stress monitoring system is one of the main technical approaches to realize intelligent ship hull structure, and it has been applied to high-performance ships and large-scale merchant cargo ships in recent years. The structure monitoring system can not only serve as the input of data-driven digit twin models of ship structures, but is also the basis for the derived decision support system. For this reason, it is crucially important to obtain accurate stress in the structure, and the error characteristics of strain gauges under possible combinations of load and temperature that a ship may undergo must be investigated. In this study, an experimental investigation of two types of optical fiber strain gauges at different temperatures and different load levels are conducted. Based on the analysis of error characteristics, an interpolation and smooth curve fitting as well as neural networks based on different transfer functions are constructed to compensate the errors of the strain gauges. Comparison with experimental results shows that the proposed method can effectively reduce the influence of the error on the accuracy of the gauge. The research results can provide reference for data processing of ship structural stress monitoring, and contribute to the development of ship structural stress monitoring system and navigational decision support system.

Presenting Author: Yu Yang Harbin Engineering University

Authors:

Xueqian Zhou Harbin Engineering University
Yu Yang Harbin Engineering University
Yishi Xu Harbin Engineering University
Chenfeng Li Harbin Engineering University
Huilong Ren Harbin Engineering University