The SISCON interdepartmental center (Safety for InfraStructures and CONstructions) is a laboratory dedicated to the safety of both new and existing civil infrastructure. The strong interdisciplinarity enables the creation of cutting-edge and original solutions to challenging issues.
Applied research
In order to solve a complex problem it is necessary to study it from many points of view. SISCON aims to be a connection between industry and academia, with a constant exchange of information to apply research results to real problems.
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Technology transfer
The problem-solving approach that characterizes SISCON makes it possible to transform research results into innovative and highly technological solutions directly available to industry, companies and public administrations.
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The infrastructure sector's knowledge is constantly evolving, and SISCON actively contributes to disseminating new information and the most cutting-edge research findings to technical experts, with a focus on infrastructure management and safety in particular.
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Recent paper
Il caso studio del viadotto Alveo Vecchio
La sicurezza dei ponti in cemento armato precompresso post-teso e il monitoraggio nel tempo dell’acciaio di precompressione sono temi che hanno recentemente…
Full-scale testing and analysis of 50-year old prestressed concrete bridge girders
The present research covers the full-scale loading tests conducted on 50-year old prestressed concrete girders.
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
In recent years, great attention has focused on the development of automated procedures for infrastructures control.
Il caso studio del viadotto Alveo Vecchio
La sicurezza dei ponti in cemento armato precompresso post-teso e il monitoraggio nel tempo dell’acciaio di precompressione sono temi che hanno recentemente…
Full-scale testing and analysis of 50-year old prestressed concrete bridge girders
The present research covers the full-scale loading tests conducted on 50-year old prestressed concrete girders.
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
In recent years, great attention has focused on the development of automated procedures for infrastructures control.
Partnership
