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.