Real-time structural health monitoring based on measured and simulated data
Source abstract
Abstract
Structural failure in Structural Health Monitoring (SHM) is often caused by overloading or incomplete inspections. This study developed an accurate and real-time digital twin model by utilising a Multi-fidelity Surrogate (MFS) model to integrate measured and simulated data. This approach effectively reduces resource consumption, improves monitoring accuracy, and enables comprehensive real-time health monitoring of a structure using live sensor data. Finally, the effectiveness of this method was validated through experimental case studies.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Sensor Technology and Measurement Systems · Advanced Sensor Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shenyang Jianzhu University
Shenyang University of Technology
Funding
scientific and technological research projects published by Liaoning Province · Shenyang Municipal Education, Science and Technology Commission
References (37)
Show source-provided references
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