VeriSim4D leverages web technologies, enabling embedding of FEM solvers in other web-based systems.
Jupyter Notebook Integration
Offers integration with Jupyter Notebook for straightforward parametric modeling and result post-processing, allowing users to create custom calculation templates and control the process.
Discontinuous Finite Elements
Utilizes both discontinuous and continuous finite elements for modeling material behaviors, emphasizing the importance of discontinuities in realistic structural analysis.
Python API
Provides an accessible, high-level Python API, facilitating efficient communication between the user and the FEM solver through multiple Python class objects.
Progressive Collapse Simulation
Features advanced modeling of structural failure and post-failure behavior with an innovative contact search algorithm for realistic simulation of progressive collapses at extreme displacements.
Direct Resistance Checks
Implements material models that accurately represent structural behavior, eliminating the need for separate stress-strain checks and allowing direct verification from FEM results
Statics, Dynamics and Hybrid solver
Supports calculations for both static and dynamic issues, with a specialized solver for non-linear static problems to achieve equilibrium efficiently.
Multiscale Sub-structuring
Enables detailed analysis of global behavior by integrating fine-scale models of structural joints and critical members, with fine-scale results transferable to the global model.
Teamplate-Based Design
Simplifies the creation of complex hybrid joints with predefined templates, significantly reducing design time.
High Performance and Speed
Achieves high performance through parallelization on multiple CPUs, streamlining computational intensive tasks.
Post-Failure Behavior
Models structures up to complete failure using discrete elements and large displacement theory, crucial for analyzing impacts, explosions, and progressive collapse.
Virtual Material and Structural Testing Laboratory
Simulates physical experiments realistically, potentially reducing the need for physical testing in new material and structure development.