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AERO-S

AERO-S is a high-performance structural/thermal analyzer based on the finite element method. It is capable of performing linear and geometrically nonlinear static, vibration (eigen), and dynamic analyses of restrained, partially restrained, and unrestrained homogeneous and composite structures. It features a comprehensive library of one-, two-, and three-dimensional finite elements for structural/thermal problems. It is equipped for communication with itself to perform high-fidelity, high-accuracy, thermal-structure (thermoelastic) analysis. It is also equipped for communication with the flow analyzer AERO-F to perform high-fidelity, high-accuracy, fluid-structure, fluid-thermal (aerothermal), and fluid-thermal-structure (aerothermoelastic) analyses. 

AERO-S is also capable of constructing linear and nonlinear Reduced-Order Models (ROMs), and exploiting them to perform most computations and analyses it performs using high-fidelity, high-dimensional, finite element models.

In summary, AERO-S can perform on its own the following computations or analyses: 

Linear Analysis

  • Linear structural/thermal static analysis.
  • Eigen structural/thermal analysis.
  • Specialized eigen analyses (buckling, sloshing, hydroelastic, …).
  • Linear structural/thermal dynamic analysis (direct time-integration and modal superposition).
  • Frequency response analysis.
  • One-way coupled linear thermoelastic analysis via coupling with itself.
  • Two-way coupled linear thermoelastic analysis via coupling with itself. 

Nonlinear Analysis

  • Nonlinear structural/thermal static analysis.
  • Nonlinear structural/thermal dynamic analysis.
  • Nonlinear static/dynamic contact analysis.
  • Nonlinear crack propagation.
  • One-way coupled nonlinear thermoelastic analysis via coupling with itself.
  • Two-way coupled nonlinear thermoelastic analysis via coupling with itself. 

Model Order Reduction and Analysis using a Reduced-Order Model

  • Linear, projection-based model order reduction.
  • Nonlinear, projection-based model order reduction.
  • Most analyses highlighted above using projection-based ROMs.