Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DeepEX stands out as a highly sophisticated geotechnical software tool specifically crafted for the intricate design and evaluation of deep excavation endeavors. This comprehensive application empowers engineers to seamlessly conduct both structural and geotechnical designs for any deep excavation scenario, accommodating a variety of wall types such as soldier piles, secant and tangent piles, sheet piles, and diaphragm walls. It also supports numerous support systems, including anchored walls, braced excavations with struts or rakers, and top-down excavations incorporating slabs and deadman walls, all while providing options for 2D or full 3D modeling. The software boasts a wide array of analytical techniques, encompassing limit equilibrium, non-linear analysis through elastoplastic Winkler springs, and finite element methods; it carefully integrates structural and geotechnical evaluations and is compatible with global steel member databases and design regulations. Additionally, DeepEX enhances efficiency with automated workflows for quick modeling, featuring innovative tools such as voice-command entry and model wizards, and it is capable of producing both technical drawings and immersive 3D visualizations to support project presentations. Through its user-friendly interface and robust capabilities, DeepEX transforms the complexities of deep excavation projects into manageable tasks for engineers.
Description
The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Deep Excavation LLC
Founded
2004
Country
United States
Website
www.deepex.com
Vendor Details
Company Name
Qualisyst
Founded
1994
Country
Bulgaria
Website
www.qsyst.com/qualisyst_en.htm
Product Features
Engineering
2D Drawing
No
3D Modeling
No
Chemical Engineering
No
Civil Engineering
No
Collaboration
No
Design Analysis
No
Design Export
No
Document Management
No
Electrical Engineering
No
Mechanical Engineering
No
Mechatronics
No
Presentation Tools
No
Structural Engineering
No
Product Features
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
No
File Storage
Yes
Forecasting
No
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
No
Statistical Simulation
Yes
Survival Analysis
No
Time Series
No
Visualization
Yes