Facilities

The PREDICT Laboratory maintains a high-performance computational environment to support large-scale finite element simulations, uncertainty quantification, stochastic optimization, and AI-driven structural modeling. Our infrastructure integrates high-core-count CPU architectures, GPU acceleration, advanced engineering software, and institutional supercomputing access to enable scalable, high-throughput research in probabilistic structural design, composites, lattice meta-materials, and aero-structural systems.

High-Performance Workstations

• Three TITAN high-performance workstations

  • Dual Intel® Xeon® Gold 5520+ processors (2.20 GHz)

  • 56 CPU cores per system

  • 128 GB RAM

  • NVIDIA RTX A4000 GPU (16 GB VRAM)

  • Optimized for nonlinear FEA, Monte Carlo simulations, parametric automation, and GPU-accelerated deep learning

Engineering & Computational Software

• MATLAB; ANSYS (Mechanical APDL & Workbench); ABAQUS; SolidWorks; Wolfram Mathematica; Python/PyTorch

High-Performance Computing (HPC) Access

• Access to ACKERS, Clarkson University’s supercomputing cluster

  • Massively parallel simulations

  • Large-scale uncertainty quantification

  • High-fidelity aero-structural and multi-physics analyses

Together, these computational resources provide a scalable and integrated ecosystem for advanced uncertainty-aware engineering research.

The PREDICT Laboratory integrates advanced experimental infrastructure with computational modeling to validate structural performance under uncertainty. Our facilities support composite fabrication, mechanical testing, additive manufacturing of polymer and metal lattice structures, and full-field strain measurement for nonlinear deformation and failure analysis. This experimental–computational synergy enables rigorous validation of probabilistic models, VAT composites, and architected meta-material systems.

The experimental facilities at PREDICT Laboratory in addition to collaboration with other faculties at Clarkson are:

Composite Fabrication (Expected during Summer- Early Fall 2026)

• AFP-XS Automated Fiber Placement system (ADD Composites)

  • 6-axis FANUC robotic arm (70 kg payload)

  • Additional positioner enabling 7-axis tow-steering capability

  • Fabrication of Variable Angle Tow (VAT) laminates

  • Controlled study of manufacturing-induced defects (tow gaps, overlaps, waviness)

Mechanical Testing

• Newton universal load testing machine with load capacity of 50,000 N

  • Tension, compression, nonlinear response

  • Energy absorption and failure characterization

Additive Manufacturing

• PLA and composite 3D printing systems (Clarkson Makerspace)

• XM200C metal additive manufacturing system

  • Materials: Inconel 718, steel

  • Fabrication of lattice and architected meta-material structures

Full-Field Measurement

• Digital Image Correlation (DIC) system

  • Non-contact strain and deformation measurement

  • Localization and failure mode analysis

Advanced Characterization (CAMP – Clarkson Center for Advanced Materials Processing)

• Scanning Electron Microscopy (SEM) for fracture surface and microstructural analysis

• X-ray tomography capabilities for internal defect characterization, porosity evaluation, and lattice architecture inspection