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Abstract: Transportation infrastructure demands reliable, cost-effective, environmentally friendly, and safe solutions. It is, therefore, crucial to leverage both the knowledge gained from current practices and the potential offered by emerging technologies. This paper uses the scoring system approached in the INFRACOMS project to offer a framework for asset managers and technology providers to identify areas of improvement and make informed decisions regarding selecting and implementing remote condition monitoring solutions. We focus on two technologies for bridges, like bridge weigh-in-motion and digital inspection and centre around four areas: data analysis, visualisation and integration and potential for practical decision-making. Technologies are evaluated based on their intended use, acknowledging that some may have multiple applications due to novel sensor installations or data interpretation/visualisation methods. Consequently, a technology may undergo multiple appraisals within this system. We showcase the benefits of the scoring system, alignment with specific use cases, and potential for broad applicability.
Keywords: bridge, remote monitoring, scoring system
Published in DiRROS: 14.08.2024; Views: 20; Downloads: 8
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Abstract: Paper presents selected results of the diagnostic load testing of a newly-built footbridge in Novo Mesto, Slovenia. The bridge is significant as the first bridge in Slovenia being built with the stress ribbon technology. The diagnostic load testing took place in March 2023 and comprised of three-stage static load testing, dynamic testing with a light truck driving over artificial obstacles, and measurement of ambient vibrations. The consistency between the actual response of the bridge and the response of the finite element (FE) model, used in the design, was evaluated by comparing vertical displacements from the static load testing, natural frequencies and mode shapes. The comparison of the results indicates a satisfactory agreement between the measurements and the response of the FE model, confirming the appropriateness of the employed FE model.
Keywords: bridge, bridge response measurements, stress ribon, load test
Published in DiRROS: 14.08.2024; Views: 10; Downloads: 3
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Abstract: In uneven-aged forests, trees of different diameters, heights, and ages are located in a small area, which is due to the felling of individual trees or groups of trees, as well as small-scale natural disturbances. In this article, we present an objective method for classifying forest stands into even- and uneven-aged stands based on freely available low-resolution (with an average recording density of 5 points/m2) national lidar data. The canopy closure, dominant height, and canopy height diversity from the canopy height model and the voxels derived from lidar data were used to classify the forest stands. Both approaches for determining forest structural diversity (canopy height diversity—CHDCHM and CHDV) yielded similar results, namely two clusters of even- and uneven-aged stands, although the differences in vertical diversity between even- and uneven-aged stands were greater when using CHM. The first analysis, using CHM for the CHD assessment, estimated the uneven-aged forest area as 49.3%, whereas the second analysis using voxels estimated it as 34.3%. We concluded that in areas with low laser scanner density, CHM analysis is a more appropriate method for assessing forest stand height heterogeneity. The advantage of detecting uneven-aged structures with voxels is that we were able to detect shade-tolerant species of varying age classes beneath a dense canopy of mature, dominant trees. The CHDCHM values were estimated to be 1.83 and 1.86 for uneven-aged forests, whereas they were 1.57 and 1.58 for mature even-aged forests. The CHDV values were estimated as 1.50 and 1.62 for uneven-aged forests, while they were 1.33 and 1.48 for mature even-aged forests. The classification of stands based on lidar data was validated with data from measurements on permanent sample plots. Statistically significantly lower average values of the homogeneity index and higher values of the Shannon–Wiener index from field measurements confirm the success of the classification of stands based on lidar data as uneven-aged forests.
Keywords: uneven-aged forest, lidar data, canopy height model, voxels, canopy height diversity
Published in DiRROS: 13.08.2024; Views: 33; Downloads: 488
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Abstract: Protein-based fish adhesives have historically been used in various bonding applications; however, due to the protein’s high affinity for water absorption, these adhesives become destabilized in high-moisture environments, resulting in reduced bondline strength and early failure. This limitation makes them unsuitable for industrial applications with higher demands. To address this issue, water-insoluble raw powder materials such as iron, copper, or zeolite were incorporated into natural fish adhesives. In this study, the hygroscopicity, dry matter content, thermal analysis (TGA/DSC), FT-IR spectroscopy, surface tension measurements, vapour permeability, and scanning electron microscope (SEM) of the modified adhesives were determined. In addition, the bonding properties of the modified adhesives were evaluated by the tensile shear strength of the lap joints, and mould growth was visually inspected. The resulting modified protein-based adhesives demonstrated improved stability in high humidity environments. Enhancing the hygroscopic properties of protein-based fish adhesives has the potential to unlock new opportunities and applications, providing a healthier and more environmentally sustainable alternative to petroleum-based adhesives.
Keywords: protein‐based adhesive, polymer stabilization, hygroscopicity, fish adhesive modification, fish industry waste, circular economy, bonding properties
Published in DiRROS: 12.08.2024; Views: 56; Downloads: 205
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Abstract: This Toolkit was created by the Law Institute of the Science and Research Centre of Koper, Slovenia, as a deliverable of the Innocent project funded by the European Commission under the JUST Programme and coordinated by the Law and Internet Foundation, Bulgaria. It aims at enhancing the application of the presumption of innocence when handling electronic evidence (e-evidence) in criminal proceedings and empowering legal practitioners to critically review e-evidence from procedural rights perspective. It is designed to enhance understanding of the legal and practical challenges encountered by judges, prosecutors and defence lawyers (particularly those operating in Central and Eastern Europe) in the acquisition of e-evidence by law enforcement agencies, evaluation of admissibility of e-evidence by judges, and cross-border access to and exchange of e-evidence. Exploring the different stages in the ‘life cycle’ of e-evidence, this Toolkit concerns data and evidence stored in various electronic devices and online information systems, including computers, smartphones, tablets, smartwatches, electronic appliances, portable media (e.g., USB sticks, external hard drives) and clouds, associated with individuals suspected or accused of criminal offenses, as well as those in the possession of other individuals. It also concerns electronic data and evidence held by telecommunication and internet service providers registered in domestic or foreign jurisdictions. However, it does not address legal and/or practical considerations related to interception and obtaining real-time electronic data and evidence from telecommunications operators and refrains from exploring issues concerning the collection of electronic data (and evidence) through techniques of mass surveillance, as well as strategies like “predictive risk-assessment” or other similar approaches aimed at preventing crime and enhancing law enforcement capabilities.
Published in DiRROS: 09.08.2024; Views: 88; Downloads: 100
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