Simulated annealing Simulated annealing is an optimization method to find the global optimum of the objective function. It is inspired by the process of metal annealing which heats the metal to a very high level and cools down in a controlled manner. In the SA algorithm, a random point is selected to start with. A…
Workflows is d3VIEW’s application for streamlining complex business processes. With its capabilities, we can create and employ automated DOE studies for quicker analysis. Using the application’s new shape worker, *TEXT_PARAMETERIZE_GUI, we can set-up custom parameters for our text-based files, generate sampling points from these parameters, create simulations from the text, launch the DOE studies from…
As simulations drive a large portion of product development, reliance on test-data at critical development stages is invaluable to further our understanding of reality and assess our simulations. Among a wide variety of tests conducted today, the test-data can be broadly grouped into coupon-based (for material calibration), component based (for sub-system validation) and full-system tests.…
In virtual product development, a single pane of glass view to track evolutionary changes across all domains in both input (variables) and its corresponding output (results) is critical for decision-making. There are two broad categories of designs that are frequently evaluated – A) Machine Generated Designs (MGD) and B) Human Generated Designs ( HGD). MGD…
The d3VIEW Applications collaborate together to make your data-to-decisionTM experience seamless. Each application has a specific role, from data management in Databases to data exploration in Simlytiks, as part of the whole. Structure your data-to-decisionTM making based on how they connect to get the most out of your experience on the platform. The following graphics…
d3VIEW makes it easy to access and review your metadata on the platform with advanced data tables. Keep assets such as your simulations or physical tests organized for simple tracking. The clean and simple interface helps visualize tabular data effectively. Selecting and grouping metadata is a breeze. Color code metadata groups and compare them on…
As a simulation engineer, we always like quick access to experimental data. Over the years, with a powerful framework that was developed within d3VIEW, this is now possible to import and visualize experimental data. With a few configurations, you can further tie this with simulation data for easy overlay and comparison. This following video shows…
Implemented feature to view timing information. Three types of data can be viewed. 1. Timing distribution based on some major routines in LS-DYNA such as contact, element, etc. AND individual contact based. 2. When running in distributed environment, you can view the host/processor based timing distribution. 3. Using data available in 2, you can view…
