Definition of pavement performance models as a result of experimental measurements

Ďurinová, Michaela; Mikolaj, Jan

doi:10.1016/j.trpro.2019.07.031

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Moreover, it is strongly recommended that parameters such as the evenness of a roadbed be considered [4]. The materials' features can be examined via two main approaches: the long-term monitoring of a roadbed in a laboratory with a special road load simulator or field research on a roadbed using a mobile durometer [5]. A complex approach involving building information modeling (BIM) tools has also been suggested [6].…”

Section: Introductionmentioning

confidence: 99%

Impact of Landscape Factors on Automobile Road Deformation Patterns—A Case Study of the Almaty Mountain Road

et al. 2022

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The geography of Kazakhstan is characterized by a diverse landscape and a small population. Therefore, certain automobile roads pass through unpopulated mountain regions, where physical road diagnostics are rare or almost absent, while landscape factors continue to affect the road. However, modern geo-information approaches and remote sensing could effectively provide the road diagnostics necessary to make timely control decisions regarding a road’s design, construction, and maintenance. To justify this assumption, we researched the deformation of a mountain road near Almaty city. Open access satellite images of and meteorological archival data for the region were processed. The resulting data were compared to validate the road’s deformation triggers. Extreme weather conditions’ impacts could be identified via road destruction (nearly 40 m longitudinal cracks, 15 m short transversal cracks, and two crack networks along a 50 m road section). The remotely sensed parameters (vertical displacement velocity, slope exposure, dissections, topographic wetness index, aspect, solar radiation, SAVI, and snow melting) show the complexity of triggers of extensive road deformations. The article focuses only on open access data from remote sensing images and meteorological archives. All the resulting data are available and open for all interested parties to use.

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Section: Introductionmentioning

confidence: 99%

Impact of Landscape Factors on Automobile Road Deformation Patterns—A Case Study of the Almaty Mountain Road

et al. 2022

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“…The specialists from Iran urge to consider such parameter as smoothness of a road pavement in a road diagnostic in research [20]. While two methods are requested to examine properties of materials in [21]: a long-term monitoring with a special traffic load simulator (part of a road pavement is examined in the laboratory) and a field research of a pavement by a mobile hardometer.…”

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confidence: 99%

“…Nevertheless, according to the analyzed scientific research including [18][19][20][21], three above listed diagnostic measurements will be enough to form and tune an intelligent system to forecast landslides' processes and their influence on the roads' technical and operational characteristics for mountainous areas.…”

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confidence: 99%