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Multisensor data fusion-based structural health monitoring for buried metallic pipelines under complicated stress states

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Abstract

During long-term service, buried pipelines are subjected to complex combined loads, including internal and external loads and pipe–soil interactions. In this paper, a multisensor monitoring network is proposed for the structural health monitoring (SHM) and performance assessment of buried metallic pipelines in a complicated stress state. However, in general, longitudinal bending stress and axial thermal stress cannot be directly obtained by separately considering each information source (i.e. measured longitudinal strain and temperature differentials). Therefore, a Bayesian fusion-based estimation method of stress states and a physics-based data fusion method for calculating longitudinal stresses are presented. A field application with construction and operation phases was carried out to investigate the efficiency of this monitoring scheme and data fusion method. The results illustrated that the proposed method successfully estimated and calculated the longitudinal bending stress and axial thermal stress. The distribution of equivalent stress was obtained, and the structural performance of the pipeline was evaluated. Notably, the measured data showed significant longitudinal bending stress caused by overburden loads, uneven pipe trenches and foundation settlements during the construction phase, which are not considered in classical stress calculation models and current design codes. This practical project provides strong evidence for the motivation of this paper.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 52079024) and the Fundamental Research Funds for the Central Universities (Grant No. DUT20LAB133).

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  1. Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, China

    Minghao Li & Xin Feng

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Li, M., Feng, X. Multisensor data fusion-based structural health monitoring for buried metallic pipelines under complicated stress states. J Civil Struct Health Monit 12, 1509–1521 (2022). https://doi.org/10.1007/s13349-022-00609-w

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