Advanced Technologies
from A N D A T A for

complex modelling and simulation operations

Getting more out of your simulations

commodo is all about squeezing the maximum knowledge out of your simulations with AI - effective, reliable, automated

Feature Calculation for Machine Learning and AI

Calculate sophisticated features from your simulation results and geometries, making them suitable for use in Machine Learning and AI methods as well as other advanced engineering applications.

Automated detection of mechanical structures, parts, and form features

Automatically detecting parts based on their form and shape to reduce or eliminate the need for expensive manual labeling procedures.

Data Mining in Simulation Data Management

Leverage knowledge discovery across diverse simulations regardless of their development phase or configuration within simulation data management.

Automated Results Plauzibilization and Quality Management

Automatically detect anomalies and errors, while checking if the (sub)models operate within their defined operational design domain (ODD), serving as a kind of domain guard.

Deep Analytics including AI in Simulation PostProcessing

Evaluation of sophisticated analytics for deep understanding automatically and far beyond the state-of-art with seamlessly transfer into common post processor session to streamline and accelerate the result interpretation process.

Mesh Independent Post Processing

Process results not only on nodes, elements, parts but also on any arbitrary entity, using existing geometry instead of placing single artificial sensors.

Sensitivity and Robustness Analysis

Evaluate and ensure the robustness of models, while also assessing the physical sensitivities of the mechanical structure.

Causality Analysis

Identification of causalities and root causes of certain complex mechanical responses.

Design of Experiment

Find out the minimum test set to get the data you need for your engineering goals by sophisticated sampling techniques.

Surrogate Modelling

Reduce model order and resource consumption to enhance speed and manage complexity.

Exemplary Use Cases

Component Identification and Clustering

Use a proper partitioning for your analysis.

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Detection of Intersecting Meshes

Powerful geometric methods to find mesh penetrations

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Identification and Analysis of Causal Chains

Find causalities in your simulation instead of simple correlations

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Intrusion

Mesh independent evaluation of car body intrusion

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Sensitivity Analysis

Multiple methods to also compare large models

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Surrogate Modelling

Reduce your model complexity without reduction of accuracy

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Geometric Features

Calculate complex Features on the Mesh with arbitrary entities

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Analysis of Buckling Patterns

Evaluate Deformation Patterns with the mathematical power of Matlab

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Contact Assessment

evaluate contact Partners on arbitrary entities

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Displacement and Rigid Body Movement

remove rigid Body motions with proper methods

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Mesh-Independent Processing

Transfer results between meshes

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Kinematics and Model Reduction

Reduce huge models to the essential parameters

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Distance Calculation

Use complex distance metrics between arbitrary entities

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Anomaly Detection

Quality Assurance: Interactive or process integrated

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ODD Check

Check model validity or find unseen load patterns

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20

Years experience

200

Functions

20000000

Nodes evaluated