RPAS-Based Framework for Simplified Seismic Risk Assessment of Italian RC-Bridges

Abstract

Existing reinforced concrete (RC) bridges that were designed in the decades between 1950 and 1990 exhibit inadequate structural safety with reference to both traffic loads and hazard conditions. Competent authorities are planning extensive inspections to collect data about these structures and to address retrofit interventions. In this context, Remotely Piloted Aircraft Systems (RPASs) represent a prospect to facilitate in-situ inspections, reducing time, cost and risk for the operators. A practice-oriented methodology to perform RPAS-based surveys is described. After that, a workflow to perform an in-situ RPAS inspection oriented to a photogrammetric data extraction is discussed. With the aim to connect the advantages of the RPAS technologies to the seismic risk assessment of bridges, a simplified mechanic-based procedure is described, oriented to map the structural risk in road networks and support prioritization strategies. A six-span RC bridge of the Basilicata road network, representing a typical Italian bridge typology is selected to practically describe the operating steps of the RPAS inspection and of the simplified seismic risk assessment approach.

Influence of Spatial Resolution for Vegetation Indices’ Extraction Using Visible Bands from Unmanned Aerial Vehicles’ Orthomosaics Datasets

“…Today, varieties of UAVs, characterised by different flight mechanics and take-off weights, and equipable sensors are continuously put on the market, providing a wide choice for operators in the sector even at minimal costs [5]. On the other hand, their versatility and transversality have triggered new application areas [6][7][8].…”

O BIM para gerenciamento, operação e manutenção de facilities: revisão cientométrica e sistemática

“…Quanto à Inspeção e Reparos, é possível identificar significativos avanços neste campo, ainda que lacunas do conhecimento permaneçam existentes, dado que o uso de modernas tecnologias é recorrentemente identificado nas pesquisas. Cabe destacar a importância do desenvolvimento de pesquisas que façam o emprego de robôs, sensores, aprendizagem de máquina e RPAS para ultrapassar as fronteiras do conhecimento neste domínio [26][27][28].…”

Simplified Fragility Analysis of Multi-Span Isostatic Rc-Bridges Considering an Incomplete Knowledge Level

“…The first step of the methodology involves a data-collection process (Figure 1, step 1) that can be performed through fast in-situ inspections supported by innovative remote-sensing technologies such as drones equipped with optical sensors and photogrammetry algorithms. An example of how these new tools can be applied to effectively and quickly retrieve geometric and constructive data on bridges is reported in [19]. The completeness of the data collection can be affected by environmental constraints around the investigated bridge or by the proper constructive characteristics (e.g.…”

“…The second data collection approach uses imagery collected by a drone-based survey and photogrammetric elaborations and is identified as high-knowledge level. Further information about this dronebased data collection methodology is reported in [19]. A (Excel-based) data-form is used to store the information in a suitable format to be directly used by a sequence of programming routines developed in MATLAB [44].…”