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101 - 110 / 523
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101.
Model updating concept using bridge Weigh-in-Motion data
Doron Hekič, Andrej Anžlin, Maja Kreslin, Aleš Žnidarič, Peter Češarek, 2023, original scientific article

Abstract: Finite element (FE) model updating of bridges is based on the measured modal parameters and less frequently on the measured structural response under a known load. Until recently, the FE model updating did not consider strain measurements from sensors installed for weighing vehicles with bridge weigh-in-motion (B-WIM) systems. A 50-year-old multi-span concrete highway viaduct, renovated between 2017 and 2019, was equipped with continuous monitoring system with over 200 sensors, and a B-WIM system. In the most heavily instrumented span, the maximum measured longitudinal strains induced by the full-speed calibration vehicle passages were compared with the modelled strains. Based on the sensitivity study results, three variables that affected its overall stiffness were updated: Young’s modulus adjustment factor of all structural elements, and two anchorage reduction factors that considered the interaction between the superstructure and non-structural elements. The analysis confirmed the importance of the initial manual FE model updating to correctly reflect the non-structural elements during the automatic nonlinear optimisation. It also demonstrated a successful use of pseudo-static B-WIM loading data during the model updating process and the potential to extend the proposed approach to using random B-WIM-weighed vehicles for FE model updating and long-term monitoring of structural parameters and load-dependent phenomena.
Keywords: monitoring, bridge, viaduct, bridge weigh-in-motion (B-WIM), structural health monitoring (SHM), finite element (FE), calibration, model updating
Published in DiRROS: 29.05.2023; Views: 439; Downloads: 232
.pdf Full text (26,28 MB)
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102.
Makroskopske in mikroskopske značilnosti lesa : brini (Juniperus sp.)
Jožica Gričar, Peter Prislan, 2023, professional article

Keywords: anatomija lesa, značilnosti lesa, drevesne vrste
Published in DiRROS: 19.05.2023; Views: 425; Downloads: 84
.pdf Full text (275,80 KB)

103.
Značilnosti rastlinstva, živalstva in gozdnih sestojev v povodju Liščaka v južnih Julijskih Alpah
Peter Razpet, Karin Rutar, Erik Kragelj, Igor Dakskobler, 2023, original scientific article

Abstract: Članek vsebuje opis značilnosti rastlinstva in živalstva odmaknjene, le po stezah dostopne in skoraj povsem gozdnate grape v zahodni Sloveniji. Raznolikost gozdnih združb in sestojev je povezana z naravnimi značilnostmi, karbonatno-silikatno geološko podlago in velikimi strminami, a tudi s pozno poselitvijo in popolnim izumrtjem zaselkov pred petdesetimi leti in več. Bukovi sestoji, ki so jih nekoč zelo sekali, se že dolgo razvijajo po naravnih zakonitostih, nanje koreniteje vplivajo predvsem vetrolomi in žled. Pionirska grmišča in gozdovi so raznoliki po zgradbi in vrstni sestavi. V bližini nekdanjih bivališč so mogočna stara drevesa, gorski bresti, veliki jeseni in smreke, na nekdanjih njivah nastaja orehov gozd. Grapa je naravna vrednota; predlagamo, naj bi bilo celotno njeno povodje.
Keywords: rastlinstvo, živalstvo, drugotna sukcesija, gozdna krajina, Baška dolina, Slovenija
Published in DiRROS: 19.05.2023; Views: 386; Downloads: 102
.pdf Full text (964,91 KB)

104.
Makroskopske in mikroskopske značilnosti lesa : brest (Ulmus spp.)
Jožica Gričar, Peter Prislan, 2023, professional article

Keywords: anatomija lesa, značilnosti lesa, drevesne vrste
Published in DiRROS: 19.04.2023; Views: 467; Downloads: 125
.pdf Full text (331,59 KB)

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Landslide monitoring techniques in the Geological Surveys of Europe
Mateja Jemec Auflič, Gerardo Herrera, Rosa María Mateos, Eleftheria Poyiadji, Lídia Quental, Bernardie Severine, Tina Peternel, Laszlo Podolszki, Stefano Calcaterra, Arben Kociu, Bartłomiej Warmuz, Jan Jelének, Kleopas Hadjicharalambous, Gustaf Peterson Becher, Claire Dashwood, Peter Ondrus, Vytautas Minkevičius, Saša Todorović, Jens Jørgen Møller, Jordi Marturia, 2023, review article

Abstract: Landslide monitoring is a mandatory step in landslide risk assessment. It requires collecting data on landslide conditions (e.g., areal extent, landslide kinematics, surface topography, hydrogeometeorological parameters, and failure surfaces) from different time periods and at different scales, from site-specific to local, regional, and national, to assess landslide activity. In this analysis, we collected information on landslide monitoring techniques from 17 members of the Earth Observation and Geohazards Expert Group (from EuroGeoSurveys) deployed between 2005 and 2021. We examined the types of the 75 recorded landslides, the landslide techniques, spatial resolution, temporal resolution, status of the technique (operational, non-operational), time of using (before the event, during the event, after the event), and the applicability of the technique in early warning systems. The research does not indicate the accuracy of each technique but, rather, the extent to which Geological Surveys conduct landslide monitoring and the predominant techniques used. Among the types of landslides, earth slides predominate and are mostly monitored by geological and engineering geological mapping. The results showed that Geological Surveys mostly utilized more traditional monitoring techniques since they have a broad mandate to collect geological data. In addition, this paper provides new insights into the role of the Geological Surveys on landslide monitoring in Europe and contributes to landslide risk reduction initiatives and commitments (e.g., the Kyoto Landslide Commitment 2020).
Keywords: landslide, monitoring techniques, geological data, Geological Surveys of Europe
Published in DiRROS: 30.01.2023; Views: 563; Downloads: 236
.pdf Full text (5,17 MB)

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