Engineering summary
PROPER MONITORING CAN PROVIDE EARLY DAMAGE DETECTION AND INTERVENTION FOR DAMS: engineering guidance from QuakeLogic covering structural health monitori...
When disaster strikes, we are all at risk! The unprepared ones will get hit the hardest. Today, at least 1,680 dams across the U.S. rated in poor or unsatisfactory conditions. These dams pose potential risks according to the Associated Press article. Without urgent action, aging dams (dams in the U.S. are on average over 50 years old) may not be able to adequately handle the intense rainfall and floods of a changing climate or imminent earthquakes. Because the housing developments are often located nearby these dams, they may fail to protect people.
The significance of structural health monitoring (SHM) for dam safety is widely acknowledged. There are a number of unfortunate examples of failed dams where early signs of deficiencies might have been monitored and detected if a proper SHM system had been in place. A robust SHM system can provide timely information that is needed for an understanding of the performance of a dam. The SHM system, including instrumentation and data analytics, can provide dam owners with the knowledge that a dam is performing as expected, and the ability to detect a change in its integrity. This knowledge and ability are critical for the dam owners because they are directly responsible for the consequences of failure. Because of these reasons, a robust safety monitoring system should be a fundamental part of every dam owners risk management progra
QuakeLogic provides the most comprehensive structural health monitoring solution for dams. We are the only company with a cloud-based, AI-powered technology platform performing autonomous structural assessments using sensor data. After an earthquake occurs, our platform sends rapid notifications to our users. These notifications include the level of shaking intensity and whether the structural integrity of the dam is compromised. This system not only monitors earthquakes but also utilizes data from various sensors such as potentiometers, strain gauges, thermocouples, weather stations, piezometers and seepage (weirs & flumes).
QuakeLogic’s intelligent structural health monitoring platform generates meaningful and easy-to-understand information. This timely and critical information helps the dam owners to give informed decisions and plan their responses appropriately.
We provide “peace of mind” to dam owners. To learn about our risk management solutions, please contact us at info@quakelogic.net
Last reviewed: 2026-07-04
Executive Summary
Structural health monitoring uses sensors, data acquisition, signal processing, and engineering interpretation to track condition and detect abnormal response. This article has been expanded as an engineering resource for readers evaluating structural health monitoring concepts, instrumentation choices, and monitoring workflows. The discussion is educational and should be paired with project-specific review by qualified engineers, applicable codes, owner requirements, and equipment documentation.
Key Takeaways
- Define the engineering objective before selecting sensors, test equipment, trigger thresholds, or reporting workflows.
- Use calibrated instrumentation, documented installation practices, time synchronization, and traceable data handling where measurement quality matters.
- Interpret measured data in context: site conditions, structure type, noise environment, sampling rate, bandwidth, and boundary conditions all affect conclusions.
- Use authoritative references and project-specific criteria rather than relying on generic thresholds or unsupported performance claims.
Technical Explanation
In practical structural health monitoring work, the engineering system is more than a sensor or a test platform. A credible workflow includes the measurement objective, instrument selection, mounting or boundary conditions, sampling and timing strategy, data validation, event or response detection, engineering review, and reporting. Weakness in any part of that chain can reduce confidence in the final interpretation.
For monitoring applications, engineers should document sensor orientation, coupling, environmental exposure, dynamic range, frequency bandwidth, data logger configuration, clock synchronization, communications, and maintenance procedures. For testing applications, engineers should document input motion, fixture design, payload properties, control limits, safety interlocks, acceptance criteria, and post-test data review.
Engineering Applications
| Application | Engineering Question | Typical Evidence Needed |
|---|---|---|
| Research and education | How does a structure, component, or sensor respond under controlled conditions? | Test plan, calibrated data, input motion, boundary conditions, and repeatable observations. |
| Critical infrastructure | Is the asset response normal, changing, or potentially unsafe after an event? | Baseline data, event records, thresholds, inspection workflow, and engineering sign-off. |
| Industrial facilities | Can monitoring support operational continuity and response decisions? | Site-specific criteria, reliable telemetry, alarm logic, maintenance records, and documented procedures. |
People Also Ask
What should be specified before buying equipment?
Specify the measurement objective, frequency range, amplitude range, environment, data format, timing needs, installation constraints, reporting requirements, and applicable standards or owner criteria.
Why do references and standards matter?
They provide terminology, acceptance criteria, test methods, and documentation expectations. They do not replace engineering judgment, but they reduce ambiguity and make results easier to review.
How should data quality be checked?
Review calibration status, timing, clipping, sensor orientation, signal-to-noise ratio, environmental artifacts, data completeness, and whether the record supports the engineering decision being made.
Related QuakeLogic Resources
- HOW STRUCTURAL HEALTH MONITORING CAN MAKE ISTANBUL A SMART CITY?
- EVACUATE OR NOT—A DILEMMA OF HOSPITALS AFTER AN EARTHQUAKE AND HOW CAN ARTIFICIAL INTELLIGENCE HELP?
- ON THE IMPORTANCE OF MONITORING TUNNELS FOR PROPER SEISMIC SAFETY ASSESSMENT AND RISK MANAGEMENT
- COMPARING EXPECTED EARTHQUAKE SHAKING IN ISTANBUL WITH THE 1999 M7.6 IZMIT EARTHQUAKE
- Related QuakeLogic products and technologies
- QuakeLogic Engineering Blog topic resources
References
Recommended Diagram or Download
Media placeholder: Add an original diagram showing the measurement chain from sensor or test platform to data acquisition, analysis, engineering interpretation, and reporting. Where this article becomes a buyer guide or application note, create a downloadable PDF version after engineering review.
Discuss a Monitoring or Testing Application
QuakeLogic supports seismic monitoring, earthquake early warning, structural health monitoring, infrasound monitoring, vibration monitoring, data acquisition, and shake table testing applications. For project-specific guidance, contact QuakeLogic with the asset type, measurement objective, site constraints, and required deliverables.
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Topic cluster
Related engineering knowledge areas
- Earthquake EngineeringSeismic hazard, ground motion, structural response, fragility, and resilience guidance.
- Structural Health MonitoringMonitoring for bridges, buildings, dams, tunnels, industrial facilities, and resilient infrastructure.
- Earthquake Early WarningOn-site detection, alerting workflows, seismic switches, and critical infrastructure warning systems.
- Infrasound MonitoringLow-frequency acoustic sensing for environmental noise, blast, UAV, volcano, and defense applications.
Definitions and references
Terms, standards, and source cues
- seismic hazard: related to Earthquake Engineering in this QuakeLogic knowledge cluster.
- ground motion: related to Earthquake Engineering in this QuakeLogic knowledge cluster.
- SHM: related to Structural Health Monitoring in this QuakeLogic knowledge cluster.
- damage detection: related to Structural Health Monitoring in this QuakeLogic knowledge cluster.
- earthquake early warning: related to Earthquake Early Warning in this QuakeLogic knowledge cluster.
- seismic switch: related to Earthquake Early Warning in this QuakeLogic knowledge cluster.
- infrasound sensors: related to Infrasound Monitoring in this QuakeLogic knowledge cluster.
- low-frequency noise: related to Infrasound Monitoring in this QuakeLogic knowledge cluster.
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