Mr. Luca Bertolini Profile

Luca Bertolini

at Univ degli Studi di Roma Tre

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Publications (1)

Proceedings Article | 12 September 2021 Presentation + Paper

A novel BIM approach for supporting technical decision-making process in transport infrastructure management

F. D'Amico, L. Bertolini, A. Napolitano, V. Gagliardi, L. Bianchini Ciampoli

Proceedings Volume 11863, 118630L (2021) https://doi.org/10.1117/12.2600140

KEYWORDS: Information technology, Data modeling, 3D modeling, Interferometric synthetic aperture radar, Roads, Remote sensing, Laser scanners, Data integration, Satellites, Data acquisition

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The European Directive 2014/24/EU and its recent Italian transposition law DM 560/2017 strongly encourage an extensive use of BIM-based practices in transport infrastructure design and management operations. Accordingly, a step forward from the traditional management approach towards a shared and highly integrated model capable of including the various monitoring and maintenance phases along with economic, operational, and environmental concerns, is required. This study aims at investigating the potential of an interoperable and upgradeable BIM model supplemented by non-destructive pavement survey data, such as Ground Penetrating Radar (GPR) and Mobile Laser Scanner (MLS) data, and satellite Remote Sensing information (i.e. InSAR). The main goal of the research is to contribute to the state-of-the-art knowledge on BIM applications, by testing an infrastructure management platform capable of minimizing, or in some cases totally removing, the limitations typically related to the separate observation of these assessments to the advantage of an integrated analysis including both the design information and the routinely updated results of monitoring activities. As a test to the proposed methodology, an experimental activity was conducted over a real highway infrastructure, that was parallelly inspected by GPR, MLS and InSAR. To the purpose of the study, the raw dataset from the three surveys were separately processed, scaled and converted into suitable file formats to be more rapidly implemented into the BIM environment. As a result, the synergistic use of geometric and design information with the results from monitoring activities allowed the definition of a Digital Twin Model of the investigated road infrastructure, which can be progressively updated at each new survey, thereby permitting to detect pavement distresses and to control their evolution over time, while being aware of the effect of any delay in maintenance activities. Preliminary results have shown promising viability of the data management model for supporting asset managers in the various management phases, thereby proving this methodology to be worthy for implementation in Pavement Management Systems (PMS)

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