Structural Health Monitoring & System Identification

Structural health monitoring (SHM) allows engineers to learn directly from a structure by observing how it responds to its environment and everyday use. Rather than relying solely on drawings, assumptions, or past calculations, SHM is based on measurements taken from the structure itself.

By analyzing these measurements, we gain insight into how a structure actually behaves, how it differs from expectations, and whether its response changes over time. This information can be critical when dealing with existing structures, complex systems, or situations where uncertainty is high.

Why Monitoring Is Used

We use structural health monitoring as a practical engineering tool, not as an end in itself. Typical applications include:

Verifying whether analytical models reflect real structural behavior

Detecting changes that may indicate damage or degradation

Supporting seismic evaluation and retrofit decisions

Tracking structural performance over time

Reducing uncertainty in critical engineering judgments

In many projects, monitoring is used selectively to answer specific questions, rather than applied as a permanent or generic system.

Depending on the structure and the objectives of the study, measurements may be obtained using different techniques:

Conventional sensing systems, where sensors are installed to record structural vibrations

Vision-based monitoring, where structural vibrations are extracted from video recordings using image processing techniques

Vision-based methods can be particularly effective for large or difficult-to-access structures. When applied carefully, they allow meaningful information to be gathered without extensive instrumentation, reducing disruption and cost.

Within these measurement approaches, our team has developed and applied original, research-based computer vision methods for measuring structural response and enabling system identification. Separately, we have developed damage detection methodologies that operate on measured response data—whether obtained from sensors or vision-based techniques—to identify and locate structural damage, when present. Both are used selectively to support engineering interpretation, rather than as standalone tools.

Collected data are analyzed to identify how the structure vibrates and responds under normal (ambient) conditions. These observations are then interpreted in the context of the structure’s configuration, usage, and boundary conditions.

The goal is not merely to report measurements, but to interpret them using methods that are sensitive to subtle changes in behavior, enabling early identification of performance shifts that may not be visible through conventional assessment alone.

When necessary, monitoring results are used to validate and improve analytical models. This helps ensure that subsequent evaluations (such as seismic assessments or retrofit studies) are based on realistic representations of structural behavior rather than idealized assumptions.

In this way, structural health monitoring complements analytical work by grounding it in observed behavior and reducing reliance on unverified assumptions.

Throughout monitoring studies, emphasis is placed on data quality and traceability, ensuring that observed behavior can be reliably interpreted and meaningfully integrated into subsequent analyses. Where project objectives require continuous observation, we design and implement real-time monitoring systems that track structural response over time and provide timely information on changes in behavior, rather than raw data streams without engineering interpretation.

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