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Smart Observational Method: Optimizing On-Site Design with Real Data


In today’s complex geotechnical projects—marked by highly variable ground conditions and demanding structural requirements—the Observational Method (OM) stands out as a robust strategy to enhance efficiency, safety, and adaptability during construction. However, its practical application often faces significant limitations due to challenges in integrating numerical models, real-time monitoring data, and iterative calibration processes.

In this context, the integration of digital tools like DAARWIN takes the Observational Method to the next level. By combining instrumentation data, numerical modeling, and evolutionary algorithms, the Smart Observational Method transforms on-site decision-making into a continuous, automated, and evidence-based process.


Development

Limitations of the Traditional Observational Method


The traditional OM is based on comparing design predictions with field measurements to adjust the design as construction progresses. While effective in theory, it has been limited in practice by:

  • Delays in data collection and interpretation.

  • Infrequent model updates.

  • Manual calibration processes.

  • Difficulty managing large volumes of data in real time.


The Digital Evolution of OM: What Does DAARWIN Bring?


DAARWIN automates and enhances OM through a fully integrated ecosystem of modules:

  • Continuous acquisition of monitoring data, including inclinometers, piezometers, and convergence sensors.

  • Seamless integration with PLAXIS numerical models, supporting all constitutive models.

  • Real-time backanalysis powered by genetic algorithms that dynamically calibrate ground parameters to match observed behavior.

  • Visual comparison tools that allow users to see FEM predictions, field measurements, and recalibrated results in a single interface.

  • Centralized data repository, supporting traceability and future reuse across projects.


Key Benefits for Geotechnical Engineering


Implementing a Smart Observational Method with DAARWIN offers significant advantages:


  • Adaptive design optimization: reduce overdesign by adjusting key parameters in real time.

  • Reduced geotechnical uncertainty: better understand ground behavior through data-model comparison.

  • Faster, evidence-based decisions: engineers receive real-time alerts and visualizations to act on deviations proactively.

  • Automated documentation: every iteration is recorded, improving auditability and knowledge transfer.


Real-World Applications with DAARWIN


DAARWIN has already been successfully deployed in major infrastructure projects to implement a Smart Observational Method. In these cases, the synergy of:


  • Reliable I&M data

  • Automated model calibration

  • Intuitive visual tools


has allowed teams to detect deviations early, adapt designs on the fly, and gain confidence in geotechnical decisions at every stage of construction.


The Observational Method has always been a powerful tool in geotechnical engineering. But only now—with digitalization, cloud computing, and algorithmic intelligence—can it be applied continuously, scalably, and efficiently.


DAARWIN enables a Smart Observational Method that reduces uncertainty, enhances design optimization, and improves construction outcomes. It is the logical next step for senior engineers facing complex ground behavior and seeking full control of geotechnical performance.

🔗 Learn more about how to integrate monitoring and numerical modeling with DAARWIN: 👉 https://www.saalg.com/instrumentation-monitoring

 
 
European Innovation Council
CDTI
Enisa
Creand and Scalelab
Mott Macdonald
Cemex Ventures
Mobile World Capital
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