The Real-Time Backanalysis tool in DAARWIN empowers engineers to refine geotechnical models dynamically during construction, reducing uncertainty and optimising designs. By integrating real-time monitoring data with Finite Element Method (FEM) models, DAARWIN automates the calibration of ground and structural parameters, ensuring models remain accurate and aligned with actual site conditions.
Traditional methods for identifying soil parameters rely heavily on laboratory and in-situ tests. While laboratory tests often suffer from sample disturbance and incomplete representation of the full soil profile, in-situ tests can be limited by site variability and measurement constraints. DAARWIN addresses these limitations by combining data from monitoring instruments—such as inclinometers, piezometers, and other sensors—with FEM models in a backanalysis process. Using genetic algorithms, DAARWIN optimises the calibration process by iteratively adjusting parameters to minimise the difference between model predictions and observed data. With the power of high-performance cloud computing, the platform performs hundreds to thousands of FEM model calculations in parallel, enabling near real-time backanalysis and transforming weeks of manual effort into efficient, iterative updates.
Through its intuitive visualisation tools, DAARWIN allows users to compare backanalysed results, monitoring data, and FEM outputs in a single plot, streamlining interpretation and enabling timely, data-driven decisions. By fully integrating the Observational Method (OM), DAARWIN enhances construction safety, efficiency, and sustainability, delivering smarter and more adaptive geotechnical designs.
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REAL-TIME PARAMETER CALIBRATION WITH GENETIC ALGORITHMS
Automatically calibrate ground and structural parameters using genetic algorithms to iteratively refine models, aligning them with real-world conditions.
FULL COMPATIBILITY WITH PLAXIS
Integrate PLAXIS models effortlessly, supporting all available constitutive models to ensure robust and precise backanalysis.
PARALLEL HIGH-PERFORMANCE CLOUD-COMPUTING
Perform backanalysis using a scalable cloud-computing architecture, running hundreds of virtual machines in parallel to accelerate thousands of FE model calculations.
FLEXIBLE PARAMETER SELECTION
Simultaneously analyse multiple soil and structural parameters with the option to evaluate them independently or correlate them to identify interactions. Constraints and restrictions can be imposed to streamline the analysis, optimising computational efficiency while maintaining precision.
INTEGRATION WITH THE OBSERVATIONAL METHOD (OM)
Enhance OM workflows by providing a seamless connection between design predictions and measured site responses, enabling progressive design modifications during construction.
ADVANCED RESULTS VISUALISATION
Easily visualise all the models calculated in a single intuitive interface, providing a comprehensive overview of backanalysed results. Access all underlying data for detailed statistical analysis to evaluate the accuracy and quality of the results, enabling informed decisions and enhanced confidence in geotechnical designs.
DATA REPOSITORY FOR FUTURE DESIGN EFFICIENCY
Leverage DAARWIN’s centralised platform to store and manage geotechnical data, providing insights that lead to leaner and more sustainable future designs.
Key Features
OF THE REAL-TIME BACKANALYSIS TOOL IN DAARWIN
DAARWIN’s Real-Time Backanalysis tool empowers geotechnical engineers to fully implement the Observational Method, providing a dynamic feedback loop between design and construction. By using genetic algorithms to refine parameters in near real-time, visualising results interactively, and integrating monitoring data with FEM models, DAARWIN accelerates workflows, reduces risks, and ensures geotechnical models remain accurate and responsive. Its ability to act as a centralised data repository further supports the creation of leaner and more efficient designs for future projects, transforming geotechnical practice and unlocking the full potential of backanalysis.
