Smart Construction Supervision: Integrating I&M and Numerical Models

In high-demand geotechnical projects, monitoring must go beyond data logging. Its true value lies in providing operational intelligence to validate designs, detect deviations, and adjust construction strategies in real time. However, in many cases, the field data collected by sensors is not directly connected to the numerical models that support design decisions—resulting in missed opportunities for optimization.

DAARWIN solves this disconnect by offering a digital platform that centralizes, visualizes, and compares I&M data with updated numerical models, empowering engineers to make agile, evidence-based decisions. This integration strengthens construction supervision, especially in projects where ground behavior is uncertain, variable, or critical to structural performance.

  From Measurement to Modeling: DAARWIN’s Technical Integration

DAARWIN unifies the following capabilities within a single digital environment:

• Real-time I&M data acquisition: including both automatic sensor feeds and manual entries from field teams.

• Advanced visualization: interactive maps, phase tracking timelines, area-based instrument grouping, and customizable plots.

• Threshold-based alert system: with automatic notifications to anticipate anomalies.

• Numerical model comparison: overlays measured behavior with FEM simulation outputs to validate or challenge design assumptions.

This integration enables behavior pattern recognition, data-driven validation of modeling assumptions, and continuous improvement of ground behavior understanding.

Smart Supervision Enabled by Real-Time Backanalysis

DAARWIN empowers real-time backanalysis by automatically adjusting model parameters to align predictions with measured field data. This dynamic calibration process leads to:

• Reconfirmation or revision of safety factors during critical stages.

• Updating of constitutive model inputs based on actual ground response.

• Establishment of correlations between sensor readings and structural actions.

This is especially valuable in projects with tight safety margins and high consequences for over- or under-design.

Practical Applications in Infrastructure, Tunneling, and Mining

In urban tunnel excavation projects, DAARWIN has proven effective in integrating convergence, pore pressure, and lining load data to identify areas of elevated stress before traditional alarm systems trigger. In deep excavations and underground mining operations, it supports sequential support design adjustments based on real-time feedback.

• Key technical benefits include:

• Earlier detection of critical deviations.

• Optimized resource allocation by reducing uncertainty.

• Full traceability and auditable records of technical decisions.

• Seamless integration between design, monitoring, and construction execution.

Additionally, DAARWIN functions as a structured digital repository, allowing data reuse in future phases or similar projects.

Integrating monitoring data with numerical modeling is no longer a future aspiration—it is a current practice with major impact on the technical quality of geotechnical projects. DAARWIN enables this integration with targeted tools for technical teams seeking to control risk, validate designs with real-time data, and document decisions in a transparent, structured way.

For senior engineers working in high-risk, high-complexity environments, DAARWIN represents an evolution in the way complex works are supervised and optimized.

Want to see how it works on your projects? More information and a live demo are available at:

👉 https://www.saalg.com/instrumentation-monitoring