SolidNetics Product

Stress Analysis with PINN

Mesh-free structural simulation powered by Physics-Informed Neural Networks.

SolidNetics' Stress Analysis with PINN module offers a modern, mesh-free approach to 3D structural analysis using Physics-Informed Neural Networks. By embedding the equations of linear elasticity directly into a neural network, this tool eliminates meshing, simplifies setup, and enables fast, geometry-flexible simulation entirely in the cloud. Engineers can solve stresses, strains, and displacements directly from CAD while gaining full control over the neural network architecture and training parameters.

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Stress Analysis with PINN

Overview

The PINN-based stress analysis tool solves 3D linear elasticity without generating a mesh. This makes it ideal for components with complex, curved, or organic geometries where traditional methods can be slow or unreliable.

Simply upload a CAD file, assign materials, apply boundary conditions, and configure the PINN model. SolidNetics automatically generates domain and boundary points, then trains the neural network using high-performance GPU instances on AWS for fast and efficient convergence.

PINN Overview

Key Features & Capabilities

Mesh-Free Simulation via PINNs

No tetrahedral meshing or geometry clean-up required—SolidNetics automatically samples interior and boundary points from your CAD.

Mesh-Free Simulation

Direct CAD Input

Import standard formats:

  • STL
  • IGES
  • STEP

SolidNetics handles point generation and domain setup automatically.

CAD Input

Linear Elasticity with Isotropic Materials

  • Solves full 3D linear elasticity
  • Supports isotropic materials today
  • Orthotropic and nonlinear materials coming soon
Linear Elasticity

Flexible Boundary Conditions

Enforce BCs directly through loss functions:

  • Displacement (Dirichlet)
  • Traction / pressure (Neumann)
  • Symmetry conditions
Boundary Conditions

Complete Control Over PINN Model Training

SolidNetics exposes key training parameters so engineers can tailor accuracy and performance:

Network Architecture

  • Number of hidden layers
  • Neurons per layer

Training Hyperparameters

  • Learning rate
  • Number of epochs

Custom Loss Weights

Individually tune contributions from:

  • PDE residual
  • Neumann boundary conditions
  • Dirichlet boundary conditions
  • Symmetry constraints
  • Free boundary conditions

This flexibility allows high precision modeling for a wide range of structural problems.

PINN Training

Powered by Cloud GPUs on AWS

All PINN simulations run on dedicated GPU instances hosted on AWS, ensuring:

  • Fast training times
  • Smooth handling of complex models
  • No dependence on local hardware
  • Reliable, scalable compute resources

You get high-performance deep learning simulation without maintaining any GPU infrastructure yourself.

Cloud GPUs

Project-Based Workflow

Each project supports:

  • Multiple runs
  • Different neural network configurations
  • BC variations
  • Parameter tuning and optimization
Project Workflow

Status Dashboard

Track:

  • Training progress
  • Loss reduction trends
  • Epoch completion
  • Run success/failure states
Status Dashboard

Intuitive 3D Post-Processing

Visualize:

  • Displacements
  • Strains
  • Stress components & Von Mises stress
  • Scaled deformations
  • Slice planes and contour views

All rendering is cloud-based and accessible from any device.

Post-Processing

Designed for Ease of Use

The interface is clean, intuitive, and designed so engineers can become productive with minimal training.

Upload CAD model
1. Upload CAD model and set boundaries
Generate mesh
2. Generate mesh on the cloud
Run and visualize
3. Run and visualize online

Applications

This PINN-based stress analysis tool is ideal for evaluating structural performance, identifying stress concentrations, validating mechanical designs, and comparing load cases across a wide range of applications. Engineers can use it for product development, optimization, and early-stage concept assessment with accurate 3D simulation results.

Aerospace & Defence

Automotive

Construction

Manufacturing

Energy

Academic

Try the New Standard in Simulation

Don't let meshing and pre-processing slow you down. Switch to a smarter, cloud-based simulation tool — powered by AI and designed for modern engineering.

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