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Exploring Purpose-Driven Methods and a Multifaceted Approach in Dam Health Monitoring Data Utilization

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Gepubliceerd in:Buildings vol. 15, no. 15 (2025), p. 2803-2843
Hoofdauteur: Li Zhanchao
Andere auteurs: Khailah Ebrahim Yahya, Liu Xingyang, Liang Jiaming
Gepubliceerd in:
MDPI AG
Onderwerpen:
United States > US
Dams
Data acquisition
Risk management
Failure
Safety
Water levels
Dam safety
Statistical analysis
Machine learning
Monitoring
Monitoring systems
Statistical models
Inspections
Efficiency
Risk assessment
Strain gauges
Structural health monitoring
Data processing
Design optimization
Research methodology
Infrastructure
Environmental impact assessment
Aging
Numerical models
Structural response
Environmental impact
Environmental stewardship
Sensors
Seepage
Emergency communications systems
Data collection
Earthquakes
Seismic engineering
Decision making
Safety management
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Samenvatting:Dam monitoring tracks environmental variables (water level, temperature) and structural responses (deformation, seepage, and stress) to assess safety and performance. Structural health monitoring (SHM) refers to the systematic observation and analysis of the structural condition over time, and it is essential in maintaining the safety, functionality, and long-term performance of dams. This review examines monitoring data applications, covering structural health assessment methods, historical motivations, and key challenges. It discusses monitoring components, data acquisition processes, and sensor roles, stressing the need to integrate environmental, operational, and structural data for decision making. Key objectives include risk management, operational efficiency, safety evaluation, environmental impact assessment, and maintenance planning. Methodologies such as numerical modeling, statistical analysis, and machine learning are critically analyzed, highlighting their strengths and limitations and the demand for advanced predictive techniques. This paper also explores future trends in dam monitoring, offering insights for engineers and researchers to enhance infrastructure resilience. By synthesizing current practices and emerging innovations, this review aims to guide improvements in dam safety protocols, ensuring reliable and sustainable dam operations. The findings provide a foundation for the advancement of monitoring technologies and optimization of dam management strategies worldwide.
ISSN:2075-5309
DOI:10.3390/buildings15152803
Bron:Engineering Database