Comparison Research on Modal Parameters Identification of Measured Vibration Response Signals of an Offshore Substation Platform

Author:

Chen Jiefeng,Sun Zhenzhou,Yuan Jianping,Jin Bo

Abstract

Abstract It is difficult to simulate and forecast the operation and security of offshore substation platform in service through a numerical model. Based on the vibrational response signals measuring from offshore substation platform, one can monitor the real-time state of offshore substation platform after obtaining its modal parameters via automatic ERA and SSI modal identification methods. Considering the sophisticated composition of environmental loads, and vast quantities of data, it is hard to use the ERA and SSI method to procure the modal parameters of substation platforms directly. Therefore, the automatic modal parameter identification method, which can cope with these severe conditions at sea, is introduced for the sake of obtaining the frequency and damping of offshore substation platform. The results indicate that: by making a comparison between the modal parameters in the design stage and those in operational states, the method proposed in this paper can identify the frequency and damping of the offshore substation platform accurately. Consequently, it comes the conclusion that the security of the offshore substation platform is still safe. Anyway, the method proposed in this paper furnish designers with a new way to forecast the states of structures and improve their designs.

Publisher

IOP Publishing

Subject

General Engineering

Reference15 articles.

1. Research on the Vibration Comfort of Offshore Booster Station under Ship Impact Conditions;Zhenzhou;The Ocean Engineering,2019

2. An eigen system realization algorithm for modal parameter identification and model reduction;Juang;Journal of Guidance, Control, and Dynamics,1985

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3