Test of the Precision and Accuracy of the ShapeAccelArray Sensor

Štroner, Martin; Urban, R.; Bálek, Jan

doi:10.14311/gi.15.2.4

Geoinformatics FCE CTU

2016

DOI: 10.14311/gi.15.2.4

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Test of the Precision and Accuracy of the ShapeAccelArray Sensor

Martin Štroner

R. Urban

Jan Bálek

Abstract: Abstract

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Cited by 2 publications

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“…The accuracy of this measurement can be further improved by using shape array accelerometers (SAAs), where the standard deviation of the measured values is less than 0.006 in. (0.015 cm) ( 36 ).…”

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confidence: 99%

Field Performance of Geocell Reinforced Recycled Asphalt Pavement Base Layer

Khan

Biswas

Banerjee

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Utilization of 100% recycled asphalt pavement (RAP) material in the base layer of road construction can provide a cost-effective and sustainable solution. However, excessive permanent deformation of RAP reduces its applicability for such projects. In this study, the effectiveness of geocell reinforced RAP base (GRRB) layers for the flexible pavement sections constructed over the expansive subgrade is investigated. Furthermore, the mechanism involved in the improvement of material stiffness because of the development of additional confining stress in the reinforced base layer is also presented in this paper. During the initial monitoring period, the average vertical compressive stresses over the pavement subgrade for the reinforced sections were observed to be significantly lower in comparison with the corresponding unreinforced sections. The preliminary results indicate that GRRB layers can significantly improve the performance of the pavement by controlling the subgrade deformation.

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mentioning

confidence: 99%

Field Performance of Geocell Reinforced Recycled Asphalt Pavement Base Layer

Khan

Biswas

Banerjee

et al. 2020

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

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Shallow movements in clay rich rocks detected during subnormal percipitation period

Bálek¹

2019

Acta Geodynamica Et Geomaterialia

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The paper aims at the evaluation of the landslide movement monitoring near Třebenice town in the České středohoří hilly land, Czechia. The monitored period between May of 2017 and January 2019 is characterized by negative effective precipitations and continually decreasing ground water levels in conditions of Cretaceous sedimentary rocks of different permeability. In the spring of 2017, the SAA (ShapeAccelArray) sensor was installed into the borehole placed one the most active part of the landslide area. Sensor was stabilized in 16 m depth, 2.5 m under the deepest sliding plane. SAA sensor automatically registers absolute values of displacements in different layers. The results indicate a slow movement above the shallower (4 m deep) sliding plane, with velocities changing significantly based on annual period from 3 mm/month during spring to 0 mm during late summer and autumn months. Measured displacements were confronted with course of GWLs, temperature and potential effective precipitation, to discover causes of the reversible movement.

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Test of the Precision and Accuracy of the ShapeAccelArray Sensor

Abstract: Abstract

Cited by 2 publications

References 5 publications

Field Performance of Geocell Reinforced Recycled Asphalt Pavement Base Layer

Field Performance of Geocell Reinforced Recycled Asphalt Pavement Base Layer

Shallow movements in clay rich rocks detected during subnormal percipitation period

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