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A Review on Seismic Vulnerability Assessment with Emphasis on Structural Health Monitoring

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Publicat a:IOP Conference Series. Earth and Environmental Science vol. 1450, no. 1 (Feb 2025), p. 012002
Autor principal: Bendaña, Mary Joseff
Altres autors: Bersamina, Juan Paulo
Publicat:
IOP Publishing
Matèries:
Earthquakes
Structural engineering
Nondestructive testing
Accelerometers
Vibration monitoring
Seismic hazard
Seismic surveys
Emission analysis
Structural design
Machine learning
Risk assessment
Government industry relations
Structural health monitoring
Parameter identification
Acoustic emission
Ultrasonic testing
Ground penetrating radar
Acoustic emission testing
Algorithms
Vibration analysis
Computer aided testing
Retrofitting
Computer aided design > CAD
Risk reduction
Seismic engineering
Economic
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Resum:Earthquake-prone regions like the circum-Pacific belt necessitate proactive measures to mitigate seismic risks. This study explores the synergy between Seismic Vulnerability Assessment (SVA) and Structural Health Monitoring (SHM) for enhanced infrastructure resilience. The researchers integrate machine learning algorithms with diverse sensors, including seismometers and accelerometers, to analyze vibration data for non-destructive testing. This multifaceted approach, encompassing ground-penetrating radar for subsurface analysis and acoustic emission/ultrasonic testing for internal assessment, refines SHM precision for pre-emptive vulnerability identification in various materials and configurations. By analyzing existing SVA studies focused on SHM, the authors ad-dress current gaps in monitoring practices, aiming to create more robust, scalable, and adaptable solutions for diverse structures and environments. The research dissects various SHM methods, analyzes their parameters and prototypes, and examines challenges in extant structure assessments. The authors propose com-prehensive strategies and solutions to bridge research gaps, leveraging non-destructive methods like the rebound hammer test and ferro scanning alongside computer-aided structural design software and strategic retrofitting. The authors aim to advance SHM for effective and interdisciplinary seismic risk mitigation strategies through collaborative efforts across academia, industry, and government sectors.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1450/1/012002
Font:Publicly Available Content Database