Structural monitoring and remaining fatigue life estimation of typical welded crack details in the Manhattan Bridge

Tochaei, Emad Norouzzadeh; Fang, Zheng; Taylor, Tomaro; Babanajad, Saeed; Ansari, Farhad

doi:10.1016/j.engstruct.2020.111760

Cited by 35 publications

(5 citation statements)

References 57 publications

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“…The system collects relevant data at a sampling rate of 100 Hz. Based on the linear elastic fracture mechanics (LEFM) method, the system models the certainty and probability of bridge crack growth, and realizes remote monitoring of crack damage 4 .…”

Section: Multi-source Sensing and Nondestructive Testing Technologymentioning

confidence: 99%

Research on bridge health monitoring system based on cloud-edge-end architecture

Xu¹,

He²,

Zhang³

et al. 2023

Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023)

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With the continuous development of social economy and the continuous increase of transportation, bridges play an increasingly important role in transportation. Bridges are the basis of accelerating urbanization, and also the key to ensure safe and smooth transportation. With the increase of traffic load, the safety problems of bridge structures also appear. Due to the limitation of construction level, the understanding of structural complexity and the influence of external unpredictable environmental factors, people can not effectively understand the damage of the bridge structure and accurately evaluate the operation and maintenance of the bridge, resulting in a series of traffic accidents. In view of the above problems, this paper carried out the research of bridge health monitoring system based on "cloud edge". It takes acoustic emission (AE), capacitance, impedance, optical sensor, etc. as the basic sensing unit, and combines edge based big data processing with edge computing model as the core and centralized big data processing with cloud computing model as the center. A bridge health monitoring platform based on the cloud-edge-end architecture is designed, which can effectively process data in real time and realize cloud backup, so as to achieve real-time assessment and diagnosis of bridge operation safety without interrupting bridge traffic functions.

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Section: Multi-source Sensing and Nondestructive Testing Technologymentioning

confidence: 99%

Research on bridge health monitoring system based on cloud-edge-end architecture

Xu¹,

He²,

Zhang³

et al. 2023

Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023)

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“…Fiber Bragg Gratings (FBGs) attract increasing attention as alternative measurement devices [1][2][3]. Their key advantages are a small form factor, light weight, resistance against electromagnetic interference and the ability to be multiplexed [4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic sensing of large arrays of draw tower gratings using code division multiplexing

Goetten,

Van Roosbroeck,

Lindner

et al. 2023

European Workshop on Optical Fibre Sensors (EWOFS 2023)

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In this contribution, the method of Code-division Multiplexing (CDM) is investigated for its dynamic measurement capabilities. In earlier publications, this technique has already been shown to be capable of measuring thousands of Draw Tower Grating® (DTGs®) in a single fiber, where many FBGs with identical wavelengths are used. The basics of CDM are explained. In addition, the ability to do dynamic measurements is investigated theoretically and experimentally and the results are presented. Good correspondence between theory and experiment could be found. Possible system improvements are proposed to find a suitable compromise between detection accuracy and system speed for massive optical sensor networks.

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“…These activities, in relation to already maintained structures, consist of health monitoring of various joints. This applies especially to systems with such structural nodes as bolted [1,2], riveted [3,4], or welded joints [5,6]. These issues are commonly defined as structural health monitoring (SHM) [7].…”

Section: Introductionmentioning

confidence: 99%

Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach

2022

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The reliability and safety of bolted joints is one of the crucial engineering problems during design of mechanical structures. In this paper, finite element method was used to investigate an asymmetrical, seven-bolted joint. The modelling takes into account the phenomenon of friction and the mechanics of contact between the joined elements. The bolts were preloaded using two different approaches: single and multi-pass. The damage of a bolt was simulated by its removal from the model. The conducted research showed influence of the number of preloading passes and its order on the forces acting in bolts both before and after damage. The obtained results were validated by experimental tests and presented as force diagrams for all investigated cases.

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Structural monitoring and remaining fatigue life estimation of typical welded crack details in the Manhattan Bridge

Cited by 35 publications

References 57 publications

Research on bridge health monitoring system based on cloud-edge-end architecture

Research on bridge health monitoring system based on cloud-edge-end architecture

Dynamic sensing of large arrays of draw tower gratings using code division multiplexing

Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach

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