Assessment approach for health state of space structures based on multi-sensor data fusion

被引：0

作者：

Li H. ^{[1
]}

Wang J. ^{[1
]}

Yan K. ^{[2
]}

机构：

[1] School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan

[2] School of Civil Engineering, Shandong Jianzhu University, Jinan

来源：

Jianzhu Jiegou Xuebao/Journal of Building Structures | 2023年 / 44卷

关键词：

data fusion; multi-sensor; space structure; structural health state assessment;

D O I：

10.14006/j.jzjgxb.2023.S1.0041

中图分类号：

学科分类号：

摘要：

In order to solve the problem of structural safety operation and maintenance of long-span space structures in service, a comprehensive assessment method for the health status of existing building structures based on multi-sensor data fusion is proposed. The feature vector of multi-sensor data is extracted based on historical monitoring data. The hierarchical model of structural safety assessment is established based on analytic hierarchy process (AHP), and the subjective weight of each index is calculated. For the feature vector obtained from the same type of sensor fusion, the objective weight of the index is obtained by the criteria importance through intercriteria correlation (CRITIC) method, and the subjective and objective weights are fused by the principle of minimum information identification. The index evaluation matrix is obtained by establishing the membership function, and the overall health state of the existing structure is calculated layer by layer. Through the health status assessment of the large-span space steel structure Weifang North Station as an example, the structural health index is more than 95, which verifies the effectiveness of the proposed method. © 2023 Science Press. All rights reserved.

引用

页码：364 / 371

页数：7

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