Research on Health Monitoring for Large Span Steel Structures

Wang, Xiuli; Ran, Yonghong; Zhu, Yanpeng

doi:10.1061/9780784483381.047

Cited by 3 publications

(1 citation statement)

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“…Personnel safety and fire safety during the evacuation process need special attention [30]. The site requires several pieces of high-power equipment to support daily operation, and the large-span steel structure requires a more comprehensive building health detection system [31,32]. Meanwhile, the gymnasium is a typical large-span building, with a large roof area and abundant solar energy resources [33].…”

Section: Operation Management Of Building Infrastructuresmentioning

confidence: 99%

Sustainable Operation and Maintenance Modeling and Application of Building Infrastructures Combined with Digital Twin Framework

Jiao

Liu

et al. 2023

Sensors

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Sustainable management is a challenging task for large building infrastructures due to the uncertainties associated with daily events as well as the vast yet isolated functionalities. To improve the situation, a sustainable digital twin (DT) model of operation and maintenance for building infrastructures, termed SDTOM-BI, is proposed in this paper. The proposed approach is able to identify critical factors during the in-service phase and achieve sustainable operation and maintenance for building infrastructures: (1) by expanding the traditional ‘factor-energy consumption’ to three parts of ‘factor-event-energy consumption’, which enables the model to backtrack the energy consumption-related factors based on the relevance of the impact of random events; (2) by combining with the Bayesian network (BN) and random forest (RF) in order to make the correlation between factors and results more clear and forecasts more accurate. Finally, the application is illustrated and verified by the application in a real-world gymnasium.

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Section: Operation Management Of Building Infrastructuresmentioning

confidence: 99%

Sustainable Operation and Maintenance Modeling and Application of Building Infrastructures Combined with Digital Twin Framework

Jiao

Liu

et al. 2023

Sensors

View full text Add to dashboard Cite

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The Impact of Industry 4.0 Concepts and Technologies on Different Phases of Construction Project Lifecycle: A Literature Review

Menegon

Filho

2022

Iran J Sci Technol Trans Civ Eng

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An automated structural health monitoring system developed for Ekaterinburg Arena

Kolotovichev

Shakhramanyan²

2022

Vestnik MGSU

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Introduction. The paper presents those essential Structural Health Monitoring (SHM) implementation details that have not been sufficiently documented in Russian national guides or regulations. The study aims to systematize and share the experience of applying the previously developed SHM theoretical principles to the existing large-span unique sports facility Ekaterinburg Arena. The paper provides information about determining monitored structural elements, instrumentation alignment, and monitoring parameters’ threshold value. Materials and methods. The long-term SHM system of the large-span structure of the Arena is organized around hardware and software for processing the data constantly incoming from tiltmeters, strain gauges, accelerometers, a motorized total station, and a weather station. Results. A unified information system for automated SHM of the Arena has been created. It comprised modules for data acquisition, high-performance databases for storing metrics, metadata, and the project information, services for evaluating and visualizing structural parameters, components for the instrumentation self-diagnosis, an application development interface for sophisticated data analysis, and a 3D model of the structure. Engineering methods for evaluating the initial values of the controlled parameters and their thresholds acceptable for regular operation are proposed. The technique of calculating internal forces based on the strain gauge data with a redundant measurement pattern has been tested. Conclusions. The obtained monitoring results have become a valuable source of initial data for developing automated methods for detecting and locating damages in structures, improving structural analysis and design methods, predictive maintenance, surveys, and solving other knowledge-intensive tasks. Applying the SHM theoretical principles to the real structure can significantly contribute to developing the current immature scientific and regulatory framework for implementing similar monitoring systems at complicated construction facilities.

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Research on Health Monitoring for Large Span Steel Structures

Cited by 3 publications

References 0 publications

Sustainable Operation and Maintenance Modeling and Application of Building Infrastructures Combined with Digital Twin Framework

Sustainable Operation and Maintenance Modeling and Application of Building Infrastructures Combined with Digital Twin Framework

The Impact of Industry 4.0 Concepts and Technologies on Different Phases of Construction Project Lifecycle: A Literature Review

An automated structural health monitoring system developed for Ekaterinburg Arena

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