Reducing Construction Risk: Cross-Analysis Between Models and Monitoring Data

In complex geotechnical works—such as urban tunnels, deep excavations, or dam foundations—reducing uncertainty is both a technical and contractual priority. The risk of poorly calibrated numerical models or the limited interpretation of monitoring data can lead to delayed or overly conservative decisions. That’s why the ability to dynamically compare design predictions with the actual ground response has become a new standard in advanced engineering.

The key lies in bridging two worlds: numerical modeling (FEM, PLAXIS, FLAC) and real-time Instrumentation & Monitoring (I&M) data. At this intersection, tools like DAARWIN offer seamless and powerful integration.

Numerical Models vs Field Data: Complementary, Not Opposing

Numerical models provide a robust theoretical framework to simulate ground behavior under various conditions. However, their accuracy depends on the quality of input parameters, the constitutive models used, and construction stage assumptions.

Monitoring data, on the other hand, delivers the actual behavior of the ground or structure, offering a reality check to design assumptions. Yet, without the context of a predictive model, this data may be difficult to interpret or apply.

Combining both—particularly during the construction stage—enables teams to:

• Validate initial assumptions

• Calibrate models via backanalysis

• Detect early-stage deviations

• Optimize designs and execution strategies
  

I&M Data Management with DAARWIN: From Data Collection to Decision-Making

The Instrumentation & Monitoring (I&M) Data Management module in DAARWIN enables teams to centralize, visualize, and analyze monitoring data in real time—integrating both automatic and manual sources.

Key features:

• Interactive visualization of instruments on drawings and sections

• Custom trend plots for correlations and anomaly detection

• Threshold-based alarm systems to trigger early alerts

• Construction phase tracking by date, zone, or activity

• Comparative analysis with numerical models, enabling live validation

  
  

What makes DAARWIN different is not just how it organizes data, but how it enables true cross-analysis. Engineers can upload their FEM simulations (e.g., PLAXIS) and instantly compare predicted vs. actual behavior in one unified interface. This drives deeper understanding and faster, more reliable decisions.

Technical Benefits for Engineering Teams

For senior engineers, monitoring leads, designers, and contractors, cross-analyzing models and field data provides:

• Reduced uncertainty without waiting until the end of construction

• Optimized excavation and support strategies based on actual performance

• Early deviation detection, enabling proactive mitigation

• Full digital traceability of project evolution

• Objective validation for clients, auditors, or insurance purposes
  

This is particularly valuable for projects that adopt the Observational Method (OM) or involve high geotechnical risk with contractual performance indicators.

Practical Application: Real-Time Model Comparison

Imagine an excavation supported by inclinometers and piezometers. Using DAARWIN, the user uploads a numerical model that defines expected behavior by stage. As real monitoring data is collected, it’s plotted alongside predictions, allowing:

• Automatic parameter recalibration (backanalysis)

• Real-time safety factor tracking

• Validation or redefinition of construction phases
  

This integrated process shifts decisions from reactive to predictive—based on data, not intuition.

Conclusion

Cross-analysis between numerical models and monitoring data is no longer a niche innovation—it's a necessity for complex projects seeking efficiency, safety, and accountability. DAARWIN enables teams to implement this workflow with speed, clarity, and confidence.

🔗 Want to see it in action? Learn more and test the DAARWIN Instrumentation & Monitoring demo here:👉 https://www.saalg.com/instrumentation-monitoring