PICASO: calibrated soil springs in minutes

Don't waste days tweaking parameters. Let PICASO fit your 3D model to PISA curves automatically.

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The Challenge

Calibrating PISA soil springs for offshore wind design is complex, repetitive, and often inconsistent. Manual matching between 3D FE and 1D models takes hours — if not days.

PICASO automates this process using a machine learning engine, saving you time while improving accuracy and confidence in your soil-structure interaction model.

What It Does: Core Features

Advanced machine learning for soil spring calibration

Automated PISA Calibration

Upload your 3D FE model results
Define your soil stratigraphy and geometry
Output calibrated parameters and generated springs

Unique ML Engine

Custom cost function tailored to geotechnical interaction
Proven accuracy vs manual calibration

Works With Your Data

Inputs: Forces, displacements, pile internal forces, stratigraphy
Outputs: Full layer-by-layer spring sets (lateral, rotational, base)

Only Public Tool of Its Kind

No consultant lock-in
No need to reinvent the wheel

How It Works

Upload

Upload your 3D FE model output

Define

Define soil geometry and profiles

Optimize

Let PICASO optimize the calibration

Export

Export ready-to-use PISA springs

Use Case Example

Challenge:

A design team is required by the certification body to use PISA-calibrated springs, but they don't have a tool or the time to build one.

Solution:

With PICASO, the team uploads their FE data, sets their model geometry, and within minutes receives calibrated soil springs for each layer — saving days of work and ensuring compliance.