Tech tips about using pSeven | CAD/CAE integration

March 31, 2023

Train model with input and output constraints

When building a surrogate model, it is important to be able to introduce constraints on input and output parameters so that this mathematical model reflects the behavior of the model from a real world perspective. In pSeven 6.43 release you can now specify valid input ranges and output thresholds for selected input and output parameters by using Build model dialog.

July 26, 2022

Stepped variables in Optimization and Adaptive Design

In this tech tip, we introduced a concept of stepped variables started from pSeven v6.18, looking at the new type versus the already implemented continuous, discrete, and categorical variables.

May 7, 2022

Linear constraint handling in parametric studies in pSeven

The main idea of this study is to show how pSeven handles constraints, and what way we can use to state our problem correctly to obtain the best solution in a short time.

April 27, 2021

Using SHAP with pSeven Core for Sensitivity Analysis

Since pSeven 6.20, pSeven Core supports one more sensitivity analysis method — calculating SHAP (SHapley Additive exPlanations) values. This tech tip illustrates using a GTApprox model to get its SHAP values for points in a given sample.

April 5, 2021

Handling non-numerical values in the Design Space Exploration and Predictive Modeling studies

The ways the Design Space Exploration and Predictive Modeling tools work in situations when simulation models, approximations or initial samples return non-numerical values are described in this tech tip.

March 25, 2021

Integrate any engineering software easily with a new configurable and flexible User Block

Create your own User block to integrate any CAD/CAE tool into the workflows, and include it into pSeven block library for everyday convenient use.

January 16, 2020

Data Fusion vs Mixture of Approximators to handle training datasets of low and high fidelity

This tech tip demonstrates some aspects of Data Fusion tool and MoA technique capabilities to handle training datasets of low and high fidelity.

January 9, 2020

Automated determination of the validity domain for Approximation models

In this tech tip, we describe the usage of the InputDomainType option, which allows limiting the input design space to avoid incorrect function predictions in the area outside the training domain.

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