102,062 research outputs found

    Integrated Computer-Aided Innovation: The PROSIT approach

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    The paper presents a methodology aimed at the improvement of the product development cycle through the integration of Computer-Aided Innovation (CAI) with Optimization and PLM systems. The interoperability of these tools is obtained through the adoption of Optimization systems as a bridging element between CAI and PLM systems. This methodology was developed within the PROSIT project (http://www.kaemart.it/prosit). The paper describes the main issues related to the integration of these complementary instruments and the solutions proposed by the authors. More specifically, the main idea of the PROSIT project to link CAI and Optimization systems is the adoption of the latter tools not just to generate optimized solutions, but also as a design analysis tool, capable to outline critical aspects of a mechanical component in terms of conflicting design requirements or parameters. CAI systems are then applied to overcome the contradictory requirements. The second step, i.e. the integration between Optimization and PLM systems, has been obtained through the development of Knowledge-Based (KB) tools to support designer’s activities. More in details, they provide means to analyze and extrapolate useful geometrical information from the results provided by the optimizer, as well as semi-automatic modelling features for some specific geometries. A detailed example related to the design of a plastic wheel for light motoscooters clarifies the whole procedure. The paper integrates, extends and updates topics presented in Cugini et al., Barbieri et al. and Cascini et al. [U. Cugini, G. Cascini, M. Ugolotti, Enhancing interoperability in the design process—the PROSIT approach, in: Proceedings of the 2nd IFIP Working Conference on Computer-Aided Innovation, Brighton (MI), USA, October 8–9, 2007, published on Trends in Computer- Aided Innovation, Springer, ISBN 978-0-387-75455-0, pp. 189–200; L. Barbieri, F. Bruno, M. Muzzupappa, U. Cugini, Design automation tools as a support for knowledge management in topology optimization, in: Proceedings of the ASME 2008 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2008), Brooklyn, New York, USA, August 3–6, 2008; L. Barbieri, F. Bruno, M. Muzzupappa, U. Cugini, Guidelines for an efficient integration of topological optimization tools in the product development process, in: Third International Conference on Design Computing and Cognition, Atlanta, USA, June 23–25, 2008; G. Cascini, P. Rissone, F. Rotini, From design optimization systems to geometrical contradictions, in: Proceedings of the 7th ETRIA TRIZ Future Conference, Frankfurt, Germany, November 6–8, 2007]

    A GIS spatial analysis model for landslide hazard mapping application in Alpine Area

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    This research describes an application of an existing method for evaluating landslide susceptibility in alpine contest that may be considered a useful support in better land-use planning and risk management. In order to perform the method and improve it creating landslide maps of probability, we investigated the several conditioning factors that in general affected these morphological processes. Firstly, a landslide inventory was prepared using both in-depth analysis of historical records and aero-photos (or orthophotos) investigation. Secondarily, a set of conditioning factors which may affect slope movement and failure (particularly lithology, geomorphology, land use, slope angle and aspect) was considered. Then, the method involved the application of GIS techniques, specifically, spatial Data Analysis application. The thematic maps of conditioning factors overlapping together with the support of the raster calculator allowed the susceptibility map creation. The method was applied to the Germanasca Valley, a small basin in the Italian Western Alps. This easy to use method allows one to individuate various classes of susceptibility and to identify slope, lithology and geomorphology, driven by old landslide events as the main conditioning factors. Furthermore, the individuation of area susceptible to landslides verification is strictly related to risk and, as a consequence, this method permits specific zone to be selected for detailed engineering geology studies in land-use planning

    Climatic conditions associated to the occurrence of slope instabilities in the Italian Alps in year 2016

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    Studies carried out in different parts of the world have shown that, in the mountain high-elevation sites, temperature can play a major role in the preparation and trigger of slope instabilities. However, the interplay with other climatic parameters (in particular precipitation) and the nature of the climate-driven processes that lead to the development of slope instability continue to be poorly understood. This understanding is crucial in order to define reliable scenarios of the evolution of slope instability under the expected climatic and environmental changes. The present work aims to contribute to shed light on these issues by analyzing with the statistical and probabilistic method developed by Paranunzio et al. (2016) the values of the climatic parameters associated to the most significant events of slope instability occurred at high elevation in the Italian Alps in 2016. The method allows to detect the anomalies in temperature and precipitation values that are associated to the development of these slope instabilities, providing the ground for discussion of possible causes and triggering mechanisms, also in the framework of ongoing climate change. Paranunzio R., Laio F., Chiarle M., Nigrelli G., Guzzetti F. (2016) - Climate anomalies associated to the occurrence of rockfalls at high-elevation in the Italian Alps. Natural Hazards and Earth System Sciences, 16, 2085-2106, DOI: 10.5194/nhess-16-2085-2016
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