2022

Congresso Nazionale GRICU2022 : book of abstracts

The bioremediation of soils polluted with hydrocarbons demonstrated to be a simple and cheap technique, even if it needs a long time. The current paper shows the application of statistical analysis, based on two factors involved in the biological process at several levels. We focus on the Design of Experiments (DOE) to determine the number and kind of experimental runs, whereas the use of the categorical factors has not been widely exploited up to now. This method is especially useful to analyze factors with levels constituted by categories and define the interaction effects.

Following the enforcement of the EEC Directive (1989), focused on the promotion of workers health and safety, several approaches have been developed in the last 30 years to assess the risks related to the different hazards in the work environment and to identify, based on this assessment process, measures and action to promote safety and to reduce the occupational accidents. These approaches generally are focused on the analysis of the working activity and neglect the influence of the worker characteristics involved, strongly limiting the effectiveness of the risk-based decision making.

Human and Organizational Factors (HOFs) are usually the root causes of complex system failures. Human reliability analysis (HRA) methods to build the structure of HOFs have been proposed. However, they typically lack validated data. To address this limitation, learning from the past has been considered regarding the EU Major Accident Reporting System’s (eMARS) records. Category data analysis has been applied to support the quantitative analysis.

Lacking data has always been a challenging problem for risk analysts on human and organizational factors (HOFs) since the theme comes to birth. Accident reports are an essential source of HOFs information, but they are often in the form of unstructured text, making it challenging to apply the number statistic method directly. The traditional manual coding of accident records could introduce uncertainties and inefficiencies, especially when a large number of records is available.

One key issue in the Structural Health Monitoring (SHM) of buildings is the influence of the soil on the dynamics of the system. The lack of accurate information on soil-structure interaction represents a source of significant uncertainty and generates difficulties in assessing the state of structural health. In this respect, satellite data could represent a valuable tool for soil knowledge. This paper presents the first study of satellite data coming from the environmental Copernicus program of the European Space Agency (ESA) for the alternative application in the field of SHM.

"System identification proves in general to be very efficient in the extraction of modal parameters of a structure under ambient vibrations. However, great difficulties can arise in the case of structures composed of many connected bodies, whose mutual interaction may lead to a multitude of coupled modes. In the present work, a methodology to approach the identification of interconnected diaphragmatic structures, exploiting a simplified analytical model, is proposed.

In recent years, the use of interferometric satellite data for Structural Health Monitoring has experienced a strong development. The urban environment confirms its fragility to adverse natural events, made even more severe by climate change. Hence, the need to carry out continuous monitoring of structures and artefacts appears increasingly urgent.

The digitisation projects of architectural heritage are a field of research continuously evolving and updating in parallel to technological innovations that allow to progressively boost the challenges and requirements of geometric and semantic richness of the related digital configuration of results. Among the arduous tasks under observation, there is the increasing need to harmonize and make the spatial and heterogenous information aspects cooperating.

Progetto Rinascita Centro Italia. Nuovi sentieri di sviluppo per l’Appennino Centrale interessato dal sisma del 2016