STAAD

Bentley Systems, Incorporated
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Product overview
STAAD.Pro is a widely used structural analysis and design software, particularly known for its comprehensive abilities in analyzing and designing structures from basic to the most complex. It supports analysis of almost any type of structure, from buildings to bridges. Its key features include a user-friendly interface, a vast range of structural analysis and design capabilities, and support for international design standards.
Operating Systems
Windows
Data Storage
 On-Premises Storage
Industry served

 Automotive

 Aerospace

 Robotics & Automation

 Energy

 Defence

 Construction Equipment

 Offshore & Marine

 Education & Research

 Medical/ Healthcare

 Consumer Products

 Consumer Electronics

 Heavy Machineries

 Plastic Products

Rail Industry


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Simulation types

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

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

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

Solver Capabilities

Speed and Efficiency
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Speed and Efficiency: Refers to the solver's ability to quickly and accurately compute solutions
Parallel Processing
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Parallel Processing: Utilizes multiple processors or cores simultaneously to reduce computation time
Solver Customization
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Solver Customization: Allows users to modify
Implicit Solver
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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.
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