On the data-driven damage detection of offshore structures using statistical and clustering techniques under various uncertainty sources: An experimental study

被引：0

作者：

Salar, M. ^{[1
]}

Entezami, A. ^{[1
,2
]}

Sarmadi, H. ^{[2
]}

De Michele, C. ^{[1
]}

Martinelli, L. ^{[1
]}

机构：

[1] Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy

[2] Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

来源：

Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems - Proceedings of the 8th International Conference on Structural Engineering, Mechanics and Computation, 2022 | 2023年

关键词：

Engineering Village;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Clustering techniques - Data driven - Data driven technique - Data-driven damage detection - Density-based Clustering - Distance scaling - Scalings - Statistical techniques - Structure-based - Uncertainty sources

引用

页码：1797 / 1802

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