Data reconstruction for tunnel structural health monitoring: An updated KNN model with gray relational analysis

IF 2 4区 工程技术 Q3 ENGINEERING, GEOLOGICAL Marine Georesources & Geotechnology Pub Date : 2024-05-09 DOI:10.1080/1064119x.2024.2349801
Jinquan Liu, Yu Zhang, Song Wang
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Abstract

Structural health monitoring (SHM) system is an important way to evaluate the tunnel structural performance. In practice, the missing data is inevitably induced in the SHM dataset, which may cause ...
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隧道结构健康监测的数据重建:采用灰色关系分析的最新 KNN 模型
结构健康监测(SHM)系统是评估隧道结构性能的重要方法。在实际应用中,SHM 数据集不可避免地会出现数据缺失的情况,这可能会对隧道结构性能造成影响。
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来源期刊
Marine Georesources & Geotechnology
Marine Georesources & Geotechnology 工程技术-工程:大洋
CiteScore
5.30
自引率
13.60%
发文量
89
审稿时长
>12 weeks
期刊介绍: Marine Georesources & Geotechnology publishes research applied to the scientific and engineering aspects, and the management and utilization, of seafloor sediments and rocks. The journal is intended for researchers and engineers, in both academia and industry, who seek solutions to problems in marine mineral resources and civil engineering. Areas covered range from marine minerals exploration and recovery to anchoring and mooring systems, bottom installations, and coastal engineering structures. The journal includes the study of acoustical, biological, chemical, mechanical, and physical properties affecting the geological system of the seafloor and response of this system to applied static and dynamic loads. Special emphasis is placed on the environmental aspects of seafloor exploration and development. The journal accepts contributions on topics such as shipboard mining systems, seafloor lodes, nodules, phosphates, crusts and placers, pipelines, platforms, and processing and transportation, as well as analytic techniques related to marine mining.
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