2020

Bayesian model calibration techniques are commonly employed in the characterization of nonlinear dynamic systems, as they provide a conceptual and effective framework to deal with model uncertainties, experimental errors and procedure assumptions. This understanding has resulted in the need to introduce a model discrepancy term to account for the differences between model-based predictions and real observations.

Quadro metodologico e comparativo sui contratti di fiume in Italia con analisi dei casi piemontesi

Various models have been developed to manage geographic data but most of them integrate heterogen...eous techniques to support knowledge representation and reasoning.

Il Piano delle Compensazioni Ambientali della Stura di Lanzo – prima esperienza italiana – è uno ...strumento strategico e innovativo per la valorizzazione del paesaggio e della biodiversità.

An effective biodiversity conservation in Protected Areas (PAs) requires that they are seen as pa...rt of larger
ecosystems and that the ecological connectivity is maintained beyond PA administrative boundaries. The study
of ecological processes that link PAs to their surrounding landscapes is thus of great importance to understand

Within the context of civil structures, a monitoring system supported by an intelligent diagnostic features extraction allows to keep under observation the overall health state of a building. In most cases, the diagnostic features are influenced by Environmental and Operational Variations (EOVs) which cause fluctuations that can be confused with the appearance of damage, or worse, hide it.

Modal expansion techniques are typically used to expand the experimental modal displacements at sensor positions to all unmeasured degrees of freedom. Since in most cases, sensors can be attached only at limited locations in a structure, an expansion is essential to determine mode shapes, strains, stresses, etc. throughout the structure which can be used for structural health monitoring.

The identification of hysteretic degrading systems exposed to nonstationary loading is a paramount research topic, especially in the case of structures subjected to ground motion excitations. In this paper, the data recorded by a masonry building are used to detect the presence of seismic damage. To this aim, a parametric nonlinear identification is performed by adopting a Bouc– Wen-type multiple oscillator model. Starting from the results of the identification process, a damage index based on the degrading stiffness matrix is defined.

Concrete has been one of the most common building materials used in construction in the world for many centuries. The manufacturing of concrete plays an important role in the generation of global warming emissions and waste and causes non-renewable resource depletion. This research assesses the environmental impacts of the use of supplementary cementitious materials (SCMs) and engineered nanomaterials (ENMs) (i.e., by-products) as partial replacement of ordinary Portland cement in concrete.