Engineering summary
WHAT YOU NEED TO KNOW ABOUT PROPER MONITORING OF BRIDGES FOR EARLY DAMAGE DETECTION AND INTERVENTION: engineering guidance from QuakeLogic covering stru...
There are about 56,000 structurally deficient bridges in the U.S., and these bridges accommodate on average 188 million trips each day according to data from the Federal Highway Administration.
The nation’s transportation infrastructure is aging. More than 200,000 bridges are now more than 50 years old, and many are approaching the end of their design life. Although the seismic construction requirements are aimed to protect the lives of those crossing bridges. The number of bridges that are in such poor condition as to be considered structurally deficient is increasing and posing potential risk.

Fourteen years ago, the Interstate 35 bridge over the Mississippi River in downtown Minneapolis collapsed. The cars, trucks and even a school bus were driving in bumper-to-bumper traffic across in the evening rush hour. Bridge’s failure plummeted them into the water and onto the rocky river banks. This disaster left a death toll of thirteen and injured 145. The officials were warned that the bridge was structurally deficient due to significant corrosion in its bearings. A federal inspection also rated the bridge structurally deficient, giving it a 50 on a scale of 100 for structural stability.

In 2018, another horrific bridge collapse occurred in the Florida International University campus in Miami. The failed pedestrian bridge killed six and injured eight people. The bridge was under construction and the errors in the design overestimated how much stress the structure could take.
The question arose about the cause of the collapse of bridges and whether they could have been prevented.
Emergent technologies in sensing, artificial intelligence (AI), and cloud computing are now remedying engineers to construct stronger bridges and also improve bridge maintenance for longer life-span. To provide continuous feedback on the bridge’s structural conditions, sensors supporting structural health monitoring (SHM) systems are being installed into both new and existing bridges.
A robust SHM system, including various sensors and data analytics to monitor the bridge’s real-time integrity, can provide officials and engineers with the knowledge and “peace of mind” that the bridge is performing as expected, and the ability to detect a change in its performance. This knowledge and ability are critical because they are directly responsible for the consequences of failure. To prevent catastrophic collapses, especially the bridges that require significant maintenance, rehabilitation, or replacement can significantly benefit from the SHM system to monitor its elements founds to be in poor condition due to deterioration or damage.

At QuakeLogic, we provide the most comprehensive SHM system for bridges. We are the only company with a cloud-based, AI-powered technology platform performing autonomous structural assessments using sensor data. Our platform sends rapid notifications with the level of shaking intensity in case of an earthquake and whether the bridge’s integrity is compromised. This system can not only monitor for earthquakes but also utilize data from various sensors such as accelerometers, potentiometers, inclinometers, strain gauges, thermocouples, and weather stations. Our platform sends meaningful and easy-to-understand information. This timely and critical information helps the bridge officials and engineers to give informed decisions and plan their responses appropriately.
Our structural health monitoring platform response matches for the first time the timing of the earthquake impact, which was impossible before. This platform can provide timely information that is needed for an understanding of the performance of a bridge and address problems earlier to improve public safety.
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
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- Rotational Seismology with Tellus-R Seismometer
- QuakeLogic Moho UNO: The Compact Seismograph That Delivers Big Results
- AGING DAMS, CLIMATE CHANGE AND EARTHQUAKES – HOW CAN MONITORING HELP TO PREVENT DISASTERS?
- 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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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
- 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.
- Seismic SensorsSeismometers, accelerometers, geophones, sensor selection, calibration, and field deployment.
- Infrasound MonitoringLow-frequency acoustic sensing for environmental noise, blast, UAV, volcano, and defense applications.
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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