166 citations · 402 across the 16 of their papers we have counts for
5 papers · 1 filter
Non-Intrusive Data-Free Parametric Reduced Order Model for Geometrically Nonlinear Structures
Alexander Saccani, Paolo Tiso
We present a fully non-intrusive parametric reduced-order modeling (PROM) framework for geometrically nonlinear structures subject to geometric variations. The method builds upon e…
Matching frequency response measurements and reduced order models for the inverse identification of viscoelastic properties
Linus Taenzer, Paolo Tiso, Bart Van Damme
3D-printed materials are used in many different industries (automotive, aviation, medicine, etc.). Most of these 3D-printed materials are based on ceramics or polymers whose mechan…
AquaROM: shape optimization pipeline for soft swimmers using parametric reduced order models
Mathieu Dubied, Paolo Tiso, Robert K. Katzschmann
The efficient optimization of actuated soft structures, particularly under complex nonlinear forces, remains a critical challenge in advancing robotics. Simulations of nonlinear st…
Embodying computation in nonlinear perturbative metamaterials
Sima Zahedi Fard, Paolo Tiso, Parisa Omidvar +1
Designing metamaterials that carry out advanced computations poses a significant challenge. A powerful design strategy splits the problem into two steps: First, encoding the desire…
Higher-order transmissibility and its linear approximation for in-service crack identification in train wheelset axles
Ehsan Naghizadeh, Eleni Chatzi, Paolo Tiso
In-service structural health monitoring is a so far rarely exploited, yet potent option for early-stage crack detection and identification in train wheelset axles. This procedure i…