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The B&C small-plate device

The B&C small-plate device

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Article
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A new Light Falling Weight Deflectometer has been used in Hungary for a couple of years now. The B & C Small-plate Light Falling Weight Deflectometer developed by Andreas Ltd. has been used in the quality control process of subsoil, embankment and subgrade layers in road and railroad constructions. Apart from measuring the dynamic modulus, the devi...

Context in source publication

Context 1
... B & C Small-plate Light Falling Weight Deflectometer (B&C) consists of a 163 mm diameter steel plate and an 11 kg drop weight (Fig. 1). The drop height (72 cm) and the buffer characteristics are set to generate a stress intensity of 300-350 kN/m 2 under the plate. The device consists of a steel buffer to transmit the force to the ground in a pulse time of 18 ms. Mod- ern electronic data collection system, LCD display and mini- printer are also part of the apparatus. ...

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Citations

... The zone of influence of LWD, on the other hand, may be identical to or a bit shallower than that of PLT. The zone of influence of LWD is reported to be 1.5 to 2 times [28] or 1 to 2 times the diameter [43,44]. Field tests have been conducted on the well-compacted and stiffer ground. ...
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The impermeable cover in urban area has been growing due to rapid urbanization, which prevents stormwater from being naturally infiltrated into the ground. There is a higher chance of flooding in urban area covered with conventional concretes and asphalts. The permeable pavement is one of Low-Impact Development (LID) technologies that can reduce surface runoff and water pollution by allowing stormwater into pavement systems. Unlike traditional pavements, permeable pavement bases employ open-graded aggregates (OGAs) with highly uniform particle sizes. There is very little information on the engineering properties of compacted OGAs. In this study, the moduli of open-graded aggregates under various compaction energies are investigated based on the Plate Load Test (PLT) and Light-Weight Deflectometer (LWD). Artificial Neural Network (ANN) and Linear Regression (LR) models are employed for estimation of the moduli of the aggregates based on the material type and level of compaction. Overall, the moduli from PLT and LWD steeply increase until the number of roller passes reaches 4, and they gradually increase until the number of roller passes becomes 8. A set of simple linear equations are proposed to evaluate the moduli of open-graded aggregates from PLT and LWD based on the material type and the number of roller passes.