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What is QMSys GUM?

The QMSys GUM Software is specifically developed to evaluate the uncertainty associated with physical measurements, chemical analyses, and calibration procedures. It offers three unique methods to calculate measurement uncertainty. The first method, GUF Method for linear models, is focused on linear and quasi-linear structures, adhering to the GUM Uncertainty Framework. This method calculates partial derivatives that represent the initial terms of a Taylor series, which helps in determining sensitivity coefficients for the equivalent linear model, and subsequently uses the Gaussian error propagation law to find the combined standard uncertainty. The second method, GUF Method for nonlinear models, is tailored for nonlinear scenarios where the outcomes show a symmetric distribution, using various numerical strategies such as nonlinear sensitivity analysis and higher-order sensitivity indices, along with quasi-Monte Carlo simulations that apply Sobol sequences. By incorporating these diverse methodologies, the software equips users with extensive tools for performing thorough uncertainty analysis in various measurement situations, ensuring robustness and precision in their results. Additionally, it enhances decision-making processes by providing clear insights into the levels of uncertainty involved.

What is MIDAS FEA NX?

MIDAS FEA NX stands out as a sophisticated finite element analysis (FEA) tool tailored for complex simulations in structural and civil engineering, boasting an intuitive interface reminiscent of CAD programs that significantly improves the user experience while delivering robust analytical capabilities. The software facilitates the easy importation of diverse 3D CAD files, allowing engineers to create high-quality finite element meshes through both automatic and hybrid methods, thus reducing the time needed for manual setup and increasing model accuracy. It supports both linear and nonlinear analysis, enabling intricate simulations that leverage advanced solvers and parallel processing, which is essential for handling large-scale, real-world engineering projects efficiently. MIDAS FEA NX excels in performing detailed method analyses that adhere to rigorous design code standards for structures with complex geometries, leading to thorough evaluations of stress, deformation, and overall performance under various loading conditions. Moreover, it integrates seamlessly with other components of the MIDAS COLLECTION and various structural analysis tools, fostering a streamlined workflow for engineers. This comprehensive feature set not only enhances productivity but also ensures that engineers can tackle a diverse range of challenges in their work. Consequently, MIDAS FEA NX has become an indispensable asset in the arsenal of any structural engineer looking to achieve excellence in their projects.

Media

Media

Integrations Supported

AutoCAD
CATIA
SOLIDWORKS

Integrations Supported

AutoCAD
CATIA
SOLIDWORKS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Qualisyst

Date Founded

1994

Company Location

Bulgaria

Company Website

www.qsyst.com/qualisyst_en.htm

Company Facts

Organization Name

MIDAS FEA NX

Company Location

South Korea

Company Website

www.midasuser.com/en/product/fea-nx

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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