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Articles

In-situ test study on compaction control parameters for particular subdivisional railway earthworks

ORCID Icon, , , &
Pages 1295-1304 | Received 03 May 2019, Accepted 16 Oct 2019, Published online: 31 Oct 2019
 

ABSTRACT

Parameters as well as their corresponding reference values, adopted to control the compaction quality during the construction of High-speed Rail(HSR) embankments in different countries are summarised in this paper. Different measurement methods for the degree of compaction are analysed with the comparison of the features of various plate loading tests. To investigate the relationships between different compaction control parameters, we conducted in-situ compaction tests on three particular subdivisional railway earthworks at Zhangjiakou-Datong HSR and Inner Mongolia-Jiangxi Railway: a bridge foundation pit below the embankment-bridge transition section, a geogrid-reinforced cushion above embankment foundation, and an excavated channel for drainage ditch. We investigate the relations of the Dynamic Deformation Modulus (Evd) versus the Reaction Modulus (K30), Evd versus the compaction coefficient (K) by analysing the measured data. The analysis result shows good linear correlations between Evd and K30, as well as Evd and K. Based on the analysis performed in this paper combined with our engineering practices, recommended reference values of the compaction control indicators for bridge foundation pit below a transition section and the bottoms of drainage ditches are also proposed in this paper.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The data that support the findings of this study are available on request from the corresponding author, HK. The data are not publicly available due to their containing information that could compromise the privacy of research participants.

Additional information

Funding

This work was supported by Key Research and Development Program of China Railway [grant number K2019G033]; National Key Research and Development Program of China [grant number 2017YFC0404802]; National Natural Science Foundation of China (NSFC) [grant number 41790434]; Guangzhou Innovation Platform and Special Service for Science and Technology [grant number 201705030010].

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