SHM SOLUTIONS
The Sacertis service includes the design and implementation of an integrated system of tools and solutions that facilitate the operations of inspection, control, and preventive maintenance of civil infrastructure assets. The proposed solutions provide effective tools for monitoring the real behavior of structures in relation to the expected evolution of the monitored parameters over time.
Continuous monitoring provides highly relevant information for both the timely detection of any anomalies in behavior and the subsequent implementation of corrective measures, and for the realization of a tool to support optimized planning of preventive and predictive maintenance interventions.
Based on the general objectives of the monitoring project, in relation to the construction type, state of preservation and/or planned structural upgrading interventions, the Sacertis service can be tailored differently both in terms of sensors and analyses.
Sacertis supports the definition of the Client's needs framework (Key Questions) and the identification of the most appropriate and effective SHM strategy to meet the needs of each specific case (SHM Answers).
MONITORING
ESSENTIALS
The correct design of the monitoring system is a key element in ensuring the efficiency of the Structural Diagnostic Service of a structure.
Factors such as the spatial extension of the monitored area, the type, density, and positioning of the sensors on the monitored structural elements discriminate the monitoring and extrapolation strategies of the results for the diagnosis of anomalies.
Factors such as the spatial extension of the monitored area, the type, density, and positioning of the sensors on the monitored structural elements discriminate the monitoring and extrapolation strategies of the results for the diagnosis of anomalies.
The monitoring system, depending on the needs, can be Complete or Partial, and the choice of the number and consequent positioning of the sensors on the monitored object can be a Plus or Light type configuration.
The combination of extension, number, and type of sensors allows for an ad hoc definition of the structural monitoring and diagnostic strategy with benefits commensurate with the needs.
The combination of extension, number, and type of sensors allows for an ad hoc definition of the structural monitoring and diagnostic strategy with benefits commensurate with the needs.
SPATIAL EXTENSION
COMPLETE EXTENSION
Complete Extension of the structure:
- The structural work is completely monitored
- The monitoring objective is the control of the overall behavior of the structure
PARTIAL EXTENSION
Partial Extension of the structure:
- Monitoring is focused on the single structural element/system/subsystem
- The monitoring objective is the control of the local behavior of the single structural element/system/subsystem
TYPE, NUMBER, AND POSITIONING OF
SENSORS
PLUS CONFIGURATION
Plus Configuration: the type, number, and consequent widespread positioning of the measurement points allow for a complete static and dynamic identification of the structural behavior of the structure.
Light Configuration
Light Configuration: the type, number of measurement points is limited (few sensors in selected strategic points) and allows for the activation of a continuous Early Warning service as the evolutionary trend of the control parameter changes over time.
STRUCTURAL MONITORING
APPROACHES
Depending on the type of selected configuration, the Sacertis Service is declined into two approaches, whose combination (in the case of modular structures and similar in terms of static and dynamic behavior) allows extending the monitoring to entire infrastructural networks and activating a continuous and semi-real-time Early Warning Service.
MODEL DRIVEN [MD]
In this case, diagnostics are supported by adequate numerical modeling using finite element reference, properly updated (model updating) following appropriate load tests in order to properly calibrate the condition of the structure/structural element at the beginning of monitoring and to define a standard condition to which the relative threshold levels can be referred, identified with respect to predetermined damage scenarios.
Threshold levels are identified through simulation of damage scenarios with an entity dependent on the acceptable safety levels for the structure.
This mode involves the choice of a Plus instrumentation, capable of continuously detecting predetermined parameters (performance indicators such as deformations, rotations, displacements, vibrational response, etc.). This mode serves as a tool for verifying both the correspondence of the behavior of the structure to theoretical predictions and the regularity of its response over time in pseudo-static and dynamic fields.
Threshold levels are identified through simulation of damage scenarios with an entity dependent on the acceptable safety levels for the structure.
This mode involves the choice of a Plus instrumentation, capable of continuously detecting predetermined parameters (performance indicators such as deformations, rotations, displacements, vibrational response, etc.). This mode serves as a tool for verifying both the correspondence of the behavior of the structure to theoretical predictions and the regularity of its response over time in pseudo-static and dynamic fields.
DATA DRIVEN [DD] MODE
The monitoring approach does not require support from numerical modeling using finite elements, but exclusively post-processing of data with data-driven anomaly identification or damage identification analysis, through the construction of decision-making processes based on information extractable from the data.
Thresholds are defined through approaches that guarantee anomaly detection checks and allow the identification of anomalies compared to a standard reference trend for the parameters being monitored.
Sacertis constantly builds and enriches its know-how through the analysis of Big Data derived from continuous infrastructure monitoring and thanks to the extensive databases available that currently collect data from more than 150 structures monitored using the Model Driven approach.
Thresholds are defined through approaches that guarantee anomaly detection checks and allow the identification of anomalies compared to a standard reference trend for the parameters being monitored.
Sacertis constantly builds and enriches its know-how through the analysis of Big Data derived from continuous infrastructure monitoring and thanks to the extensive databases available that currently collect data from more than 150 structures monitored using the Model Driven approach.
SACERTIS MONITORING AND
STRUCTURAL DIAGNOSTICS SERVICES
STRUCTURAL DIAGNOSTICS
Identification, interpretation, and structural diagnostics of anomalies detected in the data.
