Enabling Railway AM Optimization Using a Rationale KPIs Framework

Often the top management, in the phase of asset controls, finds itself overwhelmed by the availability of a huge amount of Key Performance Indicators (KPIs). Most managers are struggling to understand and identify the vital few management metrics and instead collect and report a vast amount of everything that is easy to measure. As a consequence they end up drowning in data while thirsting for information. This condition does not allow a good management of the systems. The research aim’s is to help the Asset Management System (AMS) of a railway infrastructure manager using Business Intelligence (BI) to have a KPIs management system in line with the principles of AM presented by the normative ISO 55000 - 55001 - 55002 and UIC (International Union of Railways) guideline, for the specific case of a railway infrastructure. This work starts from the study of these regulations, continues with the exploration, definition and use of KPIs. Subsequently KPIs of a generic infrastructure are identified and analyzed , especially for the specific case of a railway infrastructure manager. These KPIs are fitted in the internal elements of the AM frameworks (ISO-UIC) for systematization. Moreover an analysis of the KPIs now used in the company is made, compared with the KPIs that an infrastructure manager should have. Starting from here a Gap Analysis is made for the optimization of AMS

A statistical analysis on the application of seismic isolation on existing buildings without local interventions

After the recent seismic events, many data about buildings damages and ground motion records were collected. The damage information, collected through the AeDES form, are now made available by the Italian Civil Protection on the Da.D.O. web-platform. The ground motions records data are available from various sources, among them one of the most complete is the database ESM (Luzi et a. 2016). In this paper, an analysis of data available on the Da.D.O. database is performed, with the aim to assess the reinforced concrete buildings which have suffered limited or no damage after L’Aquila earthquake of 2009. The GMs records are used in order to evaluate the intensity measure at a large territory scale and to roughly assess the seismic intensity suffered by each considered building. The overlap of this information allows the assessment of the minimum capacity exhibited by the building, this information is further used to define an innovative methodology in order to find the reinforced concrete (RC) buildings that are best suited for seismic isolation retrofit

Seismic Risk Assessment for Masonry Buildings Typologies from L’Aquila 2009 Earthquake Damage Data

In this study a seismic risk analysis of masonry buildings based on damage data of L’Aquila 2009 earthquake is presented. Typological loss curves and Expected Annualized Losses (EAL) values are presented, starting from the data collected into AeDES forms available in the Da.D.O. database. A completion is proposed for improving the sample statistical significance, and correctly including undamaged and not surveyed buildings that suffered low shaking values. Finally, the loss curves proposed permits to economically assess the effectiveness of some local and very frequent interventions (such as chains/ring beams), and their consequent impact in seismic risk mitigation

Risk analysis of existing building heritage through damage assessment after L’Aquila earthquake 2009

After recent seismic events, many information are made available about the seismic vulnerability of existing buildings. In particular, the data collected through the AeDES forms by the Italian Civil Protection provided information about recorded damages on thousands of buildings, with different structural typologies, construction materials and geometric properties. At the same time, the large extension of Italian accelerometric network allows us to estimate as well the recorded ground motions intensity measures with moderate approximation. In this work, a preliminary elaboration of the data available for the L’Aquila earthquake (2009) is presented, in order to provide fragility curves of the expected seismic damage and the loss curve estimating the reconstruction cost percentage. The data examined are available on Da.D.O. web-gis database and the preliminary results discussed in this paper regards the typology of old ordinary masonry buildings

Mission-constrained design drivers and technical solutions for the MAGIA satellite

The Mission MAGIA (Missione Altimetrica Geofisica GeochImica lunAre) was proposed in the framework of the “Bando per Piccole Missioni” of ASI (Italian Space Agency) in 2007. The mission was selected for a phase A study by ASI on February 7th 2008. The tight budget allocation, combined with quite ambitious scientific objectives, set challenging requirements for the satellite design. The paper gives a fast overview of the payloads complement and of the mission-constrained design drivers, including cost minimization, risk reduction, and AIT flexibility. The spacecraft architecture is then outlined, along with an overview of the key subsystems and trade-offs. Some details are given of a Moon gravitometric experiment based on a mother–daughter satellite configuration with the daughter being a subsatellite released from the MAGIA satellite and intended to circle the Moon at a very low altitude. Budgets are appended at the end of the paper showing the key study results