Sensor Calibration & Verification

What this topic covers

Maintain traceability between physical response and recorded values.

Core monitoring ideas

Calibration relates sensor output to a known reference quantity.

Drift, damage, replacement and environmental exposure can change sensor behaviour.

Calibration history should remain linked to each sensor and dataset.

Interpretation limits

Sampling and storage should match the phenomenon: slow settlement and rapid vibration need different strategies.

Evidence and data quality

Analytics should surface uncertainty, missing data and sensor faults rather than hide them inside a score.

Lifecycle use

AI, machine learning and digital twins support review; they do not replace structural engineering accountability.