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Catalogo Ricerca UniNA: [370513] Home page macrotipologia

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1 Contributo su Rivista 186257
- 1.1 Articolo in rivista 174405
- 1.2 Recensione in rivista 3480
- 1.3 Scheda bibliografica 669
- 1.4 Nota a sentenza 958
- 1.5 Abstract in rivista 4056
- 1.6 Traduzione in rivista 159
- 1.7 Commento, erratum, replica e simili 773
- 1.8 Articolo in rassegna (review) 1760

2 Contributo in Volume 48214
- 2.1 Contributo in volume (Capitolo o Saggio) 44921
- 2.2 Prefazione/Postfazione 912
- 2.3 Breve introduzione 376
- 2.4 Voce (in dizionario o enciclopedia) 1386
- 2.5 Traduzione in volume 152
- 2.6 Recensione in volume 58
- 2.7 Schede di catalogo, Repertorio o Corpus 410

3 Libro 8405
- 3.1 Monografia o trattato scientifico 7955
- 3.2 Concordanza 2
- 3.3 Indice 12
- 3.4 Bibliografia 31
- 3.5 Edizione Critica Di Testi/Edizione Critica Di Scavo 123
- 3.6 Pubblicazione di fonti inedite 27
- 3.7 Commento scientifico 60
- 3.8 Traduzione di libro 153
- 3.9 Manuale didattico 42

4 Contributo in Atti di Convegno (Proceeding) 57089
- 4.1 Articoli in Atti di convegno 50564
- 4.2 Abstract in Atti di convegno 5332
- 4.3 Poster 1193

5 Altro 5688
- 5.01 Composizione 12
- 5.02 Disegno 75
- 5.03 Design 3
- 5.04 Performance 59
- 5.05 Esposizione 91
- 5.06 Catalogo di Mostra 116
- 5.07 Contributo in Catalogo di Mostra 525
- 5.08 Concorsi di Progettazione 326
- 5.09 Manufatto 4
- 5.10 Prototipo d'arte e relativi progetti 28
- 5.11 Cartografia 176
- 5.12 Banca dati 182
- 5.13 Software 49
- 5.14 Altro ministeriale 3878
- 5.15 Progetto Architettonico 164

6 Brevetti 797
- 6.1 Brevetto 797

7 Curatele 4698
- 7.1 Curatore o Editor di Libri Scientifici 4698

8 Altro non ministeriale 59370

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Physics-informed neural networks for nonlocal beam eigenvalue problems

The present study investigates the dynamics of stress-driven nonlocal elastic beams exploiting the Physics-Informed Neural Network (PINN) approach. Specifically, a PINN is developed to compute the first eigenfunction and eigenvalue arising from the underlying sixth-order ordinary differential equation. The PINN is based on a feedforward neural network, with a loss function composed of terms from the differential equation, the normalization condition, and both classical boundary and constituti...

On large displacements of spatial trusses in thermal environment

Non-Linear Mechanics of spatial truss structures is investigated by a 4-D spacetime geometric approach. Nonlinear thermal effects, non-homogeneous boundary conditions and loading paths are accounted for by rate elasticity theory. The Rate Virtual Power Principle (RVPP) and ensuing variationally effective stress rate are leveraged. Rate thermoelasticity model is exploited as constitutive relation. A computationally efficient incremental solution procedure is conceived and implemented to solve ...

Nonlocal Beam-Foundation Problems with Discontinuities

A broad spectrum of nanomechanical applications involves small-scale structures interacting with nanofoundations. The elastostatics of nanobeams on nonlocal media is here investigated in the presence of discontinuities, representing the most interesting condition in solid and structural mechanics. Indeed, beam-foundation problems usually involve concentrated loading systems, internal kinematic constraints, or nonsmooth geometric and elastic properties. To model the size-dependent behavior of ...

On effective stress rate in Non-Linear Continuum Mechanics

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