Simulation types

Linear Static analysis 0.0 Total 0 review Linear Static Analysis: Evaluates structures under static, steady loads to determine displacements, stresses, and strains	Non-Linear Static Analysis 0.0 Total 0 review Non-Linear Static Analysis: Deals with nonlinearities in materials, geometry, or boundary conditions under static loads	Dynamic Analysis 0.0 Total 0 review Dynamic Analysis: Studies the behavior of structures under dynamic loads, considering inertia and damping effects
Non-Linear Dynamic Analysis 0.0 Total 0 review Non-Linear Dynamic Analysis: Similar to dynamic analysis but includes nonlinear material properties, large deformations, or boundary conditions	Fatigue Analysis 0.0 Total 0 review Fatigue Analysis: Predicts the life of structures under cyclic loading to determine when a material might fail due to fatigue	Thermal Analysis 0.0 Total 0 review Thermal Analysis: Assesses heat transfer in materials and structures, calculating temperature distribution and thermal gradients
Drop Test Analysis 0.0 Total 0 review Drop Test Analysis: Simulates the impact and stresses on a product when dropped from certain heights or angles	Frequency Analysis 0.0 Total 0 review Frequency Analysis: Determines the natural frequencies and mode shapes of structures, important for avoiding resonance	Buckling Analysis 0.0 Total 0 review Buckling Analysis: Evaluates the critical load at which a structure will buckle under axial loads, crucial for slender structures
Composite Simulations 0.0 Total 0 review Composite Simulations: Analyzes materials made from two or more constituent materials with significantly different physical or chemical properties	Automatic tool conversions 0.0 Total 0 review Automatic Tool Conversions: Features that automatically convert CAD models into FEA models, simplifying the pre-processing stage	Parametric Optimization 0.0 Total 0 review Parametric Optimization: Optimizes design parameters within given constraints to achieve the best performance criteria
Topology Optimization 0.0 Total 0 review Topology Optimization: Determines the optimal material distribution within a given design space for a given set of loads, boundary conditions, and constraints	Cloud Solver 0.0 Total 0 review Cloud Solver: Utilizes cloud computing resources to solve complex simulations, offering scalability and access to high-performance computing	Transient Analysis 0.0 Total 0 review Transient Analysis: Studies how loads, stresses, and displacements change over time under conditions that vary with time
Creep Analysis 0.0 Total 0 review Creep Analysis: Evaluates time-dependent deformation under constant stress, important for materials that experience gradual deformation	Acoustic Simulation 0.0 Total 0 review Acoustic Simulation: Analyzes the propagation of sound waves in fluids and solids to study noise levels, sound quality, and vibration	Crash Analysis. 0.0 Total 0 review

Meshing Capabilities

Automatic Mesh Generation 0.0 Total 0 review Automatic Mesh Generation: Automatically creates a mesh from a geometric model, simplifying the pre-processing step	Local Region Meshing 0.0 Total 0 review Local Region Meshing: Allows for finer meshing in areas of interest to increase accuracy without significantly increasing overall mesh size	Mesh Convergence 0.0 Total 0 review Mesh Convergence: Ensures that simulation results become independent of the mesh size as it becomes finer
Mesh Independence 0.0 Total 0 review Mesh Independence: The condition where simulation results do not significantly change with further refinement of the mesh	Beam Elements (1D) 0.0 Total 0 review Beam Elements (1D): Used for structures dominated by axial forces, such as trusses and beams	Triangle Elements (2D) 0.0 Total 0 review Triangle Elements (2D): Suited for irregular surfaces in two dimensions
Shell Elements (2D or 3D) 0.0 Total 0 review Shell Elements (2D or 3D): Represent thin-walled structures and can incorporate bending and in-plane forces	Axisymmetric Elements (2D or 3D) 0.0 Total 0 review Axisymmetric Elements (2D or 3D): Used for objects with rotational symmetry, simplifying analysis by reducing dimensions	Tetrahedral Elements (3D) 0.0 Total 0 review Tetrahedral Elements (3D): Suitable for complex three-dimensional geometries with no inherent symmetry
Hexahedral Elements (3D) 0.0 Total 0 review Hexahedral Elements (3D): Preferred for their accuracy in cubic geometries or where stress gradients are uniform	Pyramidal Elements (3D) 0.0 Total 0 review Pyramidal Elements (3D): Serve as transition elements between hexahedral and tetrahedral meshes	Prismatic Elements (3D) 0.0 Total 0 review Prismatic Elements (3D): Used in layers, ideal for modeling thin films or layered structures
Quadrilateral Elements (2D) 0.0 Total 0 review Quadrilateral Elements (2D): Offer better accuracy than triangular elements for many applications in two dimensions	p-Adaptive Meshing 0.0 Total 0 review p-Adaptive Meshing: Adjusts the polynomial order of elements to improve accuracy without changing the mesh	Mixed Meshing 0.0 Total 0 review Mixed Meshing: Combines different types of elements in a single simulation to optimize accuracy and computational efficiency
h-Adaptive Meshing 0.0 Total 0 review h-Adaptive Meshing: Automatically refines the mesh size in regions where higher accuracy is required	Multiphysics Simulation. 0.0 Total 0 review

Mesh Quality Check

Aspect Ratio 0.0 Total 0 review Aspect Ratio: Measures the elongation of an element; high aspect ratios may indicate poor mesh quality	Jacobian Check 0.0 Total 0 review Jacobian Check: Evaluates the distortion of elements; poor Jacobian values can affect accuracy	Skewness 0.0 Total 0 review Skewness: Indicates the deviation of an element's shape from an ideal shape, affecting solution accuracy
Warpage 0.0 Total 0 review Warpage: Measures the deviation of a face element from being flat, important for 3D elements	Shape Factor 0.0 Total 0 review Shape Factor: Assesses the quality of an element based on its shape, impacting the precision of the simulation

Solver Capabilities

Speed and Efficiency 0.0 Total 0 review Speed and Efficiency: Refers to the solver's ability to quickly and accurately compute solutions	Parallel Processing 0.0 Total 0 review Parallel Processing: Utilizes multiple processors or cores simultaneously to reduce computation time	Solver Customization 0.0 Total 0 review Solver Customization: Allows users to modify
Implicit Solver 0.0 Total 0 review Implicit Solver: An implicit solver calculates the response of a system by solving equations that include both the current state and the future state of the system. This approach is typically more stable and can handle larger time steps without losing accuracy, making it well-suited for static, quasi-static, and slowly varying dynamic problems. Implicit solvers are often used for non-linear static and dynamic analyses where stability is critical, even though they might require more computational resources per time step compared to explicit solvers	Explicit Solver. 0.0 Total 0 review