Skip to main content

MS08 - Stochastic phenomena in structural mechanics and dynamics: theoretical and experimental approaches

Gruppo AIMETA proponente

GAMS

Titolo

Stochastic phenomena in structural mechanics and dynamics: theoretical and experimental approaches

Organizzatori

  • Rossella Laudani, Università degli Studi di Messina, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
  • Chiara Masnata, Università degli Studi di Palermo, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
  • Maria Oliva, Università degli Studi di Enna Kore, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
  • Chiara Pepi, Università degli Studi di Perugia, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

Descrizione

Structural systems exhibit multiple sources of uncertainty, including geometric imperfections, loading conditions, environmental actions, boundary conditions, and modeling assumptions.
Properly accounting for these effects is essential for reliable prediction of static and dynamic structural response, safety assessment, and interpretation of experimental observations.

This mini-symposium invites contributions addressing theoretical, computational, and experimental aspects of stochastic phenomena in structural mechanics and dynamics. Topics of interest include stochastic and statistical modeling of structural systems, spatial variability and random fields, probabilistic formulations, uncertainty quantification methods, statistical inference and Bayesian approaches, reliability analysis, stochastic dynamics, seismic response under stochastic processes, and random vibrations.

A specific focus will be given to the role of experimental investigations and data-driven assessment of structural systems, including vibration testing, structural health monitoring, dynamic system identification, model updating, and calibration procedures in the presence of stochastic effects. Contributions addressing machine learning approaches for the interpretation of experimental data, with applications to structural assessment, damage detection, and response prediction, are also encouraged.

Both methodological developments and application-oriented studies are welcome. The minisymposium aims to bridge deterministic modeling with probabilistic and statistical frameworks, enabling a more realistic representation of complex structural behavior by using both theoretical and experimental approaches.

Aree di interesse

  • Structural mechanics and dynamics
  • Stochastic and statistical methods for structural systems
  • Random vibrations and seismic response
  • Reliability, risk and probabilistic assessment
  • Vibration testing, structural health monitoring and vibration-based damage detection
  • Dynamic system identification and data-driven analysis of experimental data
  • Machine learning techniques for structural identification
The aim is to encourage dialogue between theoretical and experimental perspectives, with particular attention to stochastic structural behavior, vibration-based assessment, and statistical interpretation of structural response.

MS11 - Materials and Structures Across Scales: Modeling, Simulation, and Uncertainty Quantification

Gruppi AIMETA proponenti

GAMeN, GIMC, GMA, GAMS (mini-simposio congiunto)

Titolo

Materials and Structures Across Scales: Modeling, Simulation, and Uncertainty Quantification

Organizzatori

  • Raffaele Barretta, Università degli Studi di Napoli Federico II, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
  • Massimiliano Gioffrè, Università degli Studi di Perugia, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
  • Michele Marino, Università degli Studi di Roma Tor Vergata, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
  • Marco Pingaro, Sapienza Università di Roma, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

Descrizione

The mini-symposium aims to bring together theoretical, computational, and applied contributions devoted to the development and application of multiscale approaches and methods for the advanced modeling of materials and structures, including in the presence of
uncertainties. The focus is on the modeling and analysis of problems across different scales of observation and on the associated coupling procedures, from the micro- and nanostructural levels up to the macroscopic response, with particular reference to analytical, computational, and probabilistic homogenization techniques, micro–macro strategies (including FE² and hierarchical methods), reduced-order models, and discrete–continuum coupling approaches.

The mini-symposium welcomes contributions on multiscale localization phenomena, instabilities, damage, and fracture, as well as on scale effects and unconventional behaviors of advanced materials and structures, including nanomaterials, nanocomposites, metamaterials, and nanostructures. Particular attention is also devoted to uncertainty quantification and its integration within multiscale modeling frameworks. Special emphasis is placed on multiphysics modeling, characterization, and design of functional materials and innovative systems, also in the presence of complex couplings among mechanical, physical, structural, and probabilistic phenomena.

Aree di interesse

The objective is to foster interaction among the communities of:
  • Materials mechanics
  • Computational mechanics
  • Stochastic mechanics
  • Multiscale mechanics
by promoting interdisciplinary exchange on advanced methods for modeling, simulation, and design, with attention to both theoretical developments and emerging engineering and industrial applications.