MATEC Web Conf.
Volume 276, 2019International Conference on Advances in Civil and Environmental Engineering (ICAnCEE 2018)
|Number of page(s)||13|
|Published online||15 March 2019|
Screw driving sounding test; a new technology in soil investigation work particularly for soft soil
1 Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
2 Centre of Tropical Geoengineering (GEOTROPIK), Universiti Teknologi Malaysia, Johor, Malaysia
3 Japan Home Shield Corporation, Tokyo, Japan
4 Department of Urban and Civil Engineering, Tokyo City University, Tokyo, Japan
5 School of Civil Engineering, Universiti Teknologi Malaysia, Johor, Malaysia
* Corresponding author: firstname.lastname@example.org
Screw Driving Sounding (SDS) test has been developed in Japan as the improved version of the Swedish Weight Sounding (SWS) test. The development of SDS is to reduce the drawbacks of the SWS with the integration of rod friction estimation. Deep boring with Standard Penetration Tests (SPT) together with soil sampling for laboratory tests have been the common procedure for determining the subsurface soil profile and geotechnical engineering properties. However, the SPT which is associated with deep boring, uses high fossil fuels, needs high skilled workers and expensive. This paper presents the SDS technology and the SDS test results in comparison with the existing SPT data from six (6) selected sites in Malaysia. Results show that there is a strong correlation between SPT and SDS data, and the soil profile is better identified using SDS than the SPT. It is predicted that SDS test has the potential to replace conventional soil investigation methods, particularly in soft soils area. It is not just fast, cheap and does not require highly skilled workers but SDS tests supports green technology and sustainability in construction. Quality results are guaranteed from the usage of Industrial Revolution 4.0 technology through automation in testing and making use of the cloud computing to manage the data.
© Owned by the authors, published by EDP Sciences, 2012
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