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AGING DAMS, CLIMATE CHANGE AND EARTHQUAKES – HOW CAN MONITORING HELP TO PREVENT DISASTERS?

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Engineering summary

AGING DAMS, CLIMATE CHANGE AND EARTHQUAKES – HOW CAN MONITORING HELP TO PREVENT DISASTERS?: engineering guidance from QuakeLogic covering structural hea...

Devastating climate change, including killer heat waves and severe flooding, adversely affects the infrastructures our communities rely on. Dams in particular become increasingly more vulnerable to climate change due to aging. Rapidly rising water levels and frequent floods add extra stress to dams, reservoirs and waterways, pushing them to their design limits. A failure to upgrade dams in response to deterioration in structural health may result in a catastrophic impact on the people and environment.

The most recent examples are the failed Edenville and Sanford Dams in Midland, Michigan due to rapidly rising waters after days of heavy rain. The collapsed Edenville Dam, constructed in 1924, was rated in unsatisfactory condition in 2018, while the Sanford Dam, which was built in 1925, was given a fair condition rating by the State.

In 2017, major flooding from the damaged Oroville Dam in Northern California forced the evacuation of nearly 200,000 Californians. The Oroville Dam was completed in 1968, toward the end of the golden era of dam construction. This was a wakeup call for owners of aging dams across the country, as climate change continues to add stress to these structures.

California has additional challenges due to active earthquake faults, including the Hayward and San Andreas faults, which scientists predict are due for a large earthquake. Among the dams now considered to be at risk are the Anderson Dam and the Calaveras Dam, both close to fault lines in Silicon Valley. According to the NY Times, California’s most troubled large dam is at Lake Isabella. This dam was built on the Kern River near Bakersfield by the Army Corps of Engineers in the 1950’s on what was thought to be an inactive fault. However, this fault has been active since then.

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Another major threat to dams is scouring. Numerous aging dams have experienced severe erosion of their unlined spillways. This erosion can lead to damage and even failure of dams and consequently can threaten public safety, properties, infrastructure and the wider local environment.

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There are a number of unfortunate examples of dams failing due to earthquakes, flooding or scouring where early signs of deficiencies might have been detected if a proper structural health monitoring (SHM) system had been in place.

Introducing SMARTDAM

QuakeLogic is the only company using a cloud-based, AI-powered technology platform to perform continuous, autonomous assessments using data from sensors on the dam structure.

QuakeLogic’s Sensor data Management, Assessment and Repository Technology (SMART) platform transforms a dangerous, aging dam into a SMART dam able to alert officials to critical deterioration. It also significantly reduces needed search and inspection efforts following any seismic or other impact event such as settlement, scouring, etc.

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The SMART platform integrates manually and digitally read sensor recordings into a fully automated unified monitoring system. It facilitates the acquisition and analysis of critical sensor data needed by the dam operators for proper operation and maintenance, and most importantly, for the safety assessment of the dam. It routinely collects, organizes and evaluates sensor data, and sends immediate notifications with ACTION PLANS upon exceedance of programmed thresholds, generating PDF reports regularly and on-demand.

The SMART platform is a cutting-edge system that works with various types of sensors such as accelerometers, tiltmeters, potentiometers, strain gauges, thermocouples, weather stations, piezometers and seepage monitors. Comprehensive analytic information is visible in real-time on the mobile-friendly dashboard, providing proof and PEACE OF MIND that a dam is performing as expected.

In addition to our SMART platform, our proprietary earthquake early warning (EEW) alerts provide a window of opportunity for action before earthquake shaking begins at the site. It can even trigger automated actions such as opening spillways, closing roads, etc. – when every second counts.

QuakeLogic’s monitoring system instantly detects any issue that could impact the structural integrity of the dam, allowing corrective measures to be implemented and avoiding a potential future disaster.

For details, 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

ApplicationEngineering QuestionTypical Evidence Needed
Research and educationHow does a structure, component, or sensor respond under controlled conditions?Test plan, calibrated data, input motion, boundary conditions, and repeatable observations.
Critical infrastructureIs the asset response normal, changing, or potentially unsafe after an event?Baseline data, event records, thresholds, inspection workflow, and engineering sign-off.
Industrial facilitiesCan 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

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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Reviewed by

QuakeLogic

Published by QuakeLogic engineers and seismic monitoring specialists. QuakeLogic designs earthquake early warning, structural health monitoring, infrasound, vibration monitoring, and shake table testing systems for infrastructure, research, public safety, and industrial engineering teams.

Topic cluster

Related engineering knowledge areas

Definitions and references

Terms, standards, and source cues

  • 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.
  • seismometers: related to Seismic Sensors in this QuakeLogic knowledge cluster.
  • accelerometers: related to Seismic Sensors 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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