ENGINEERING PROPERTIES AND MINERALOGICAL IDENTIFICATION OF SOIL FROM MELANGE IN SANDAKAN SABAH, MALAYSIA
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): JIN GI KIM
Abstract: A total of five soil samples were collected from melange weathered material in order to analysis the engineering properties and mineralogical identification of the soils. The soil samples were collected along the main road in Sandakan, Sabah. The result of analysis shows that the soil moisture content was in the range of 15.26% to 22.10%, the soil organic content range from 1.10% to 2.32%, and the soil specific gravity in the range of 2.57 to 2.61. Sample S3 and S4 shows the acidity of soil whereas, S1, S2 and S5 was alkaline. The average liquid limit of soil samples were from 45.1% to 59.8%, while the plasticity indexes were in the range of 23.25% to 33.91%. The plasticity chart plot of soil found that S1 and S5 samples were classified as low plasticity soil, while S2, S3 and S4 samples were classified as high plasticity. The result shows that the optimum moisture contents range from 13.0% to 28.9%, while the maximum dry density was within a range from 1.43Mg/m3 to 1.82Mg/m3. The unco
- Publication Date: 16-Dec-2016
- DOI: 10.15224/978-1-63248-114-6-32
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CONSIDERING KNOWLEDGE GAPS FOR AUTOMATED DRIVING IN CONVENTIONAL TRAFFIC
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): AROEN M.G. SOEKROELLA , BART VAN AREM , ISABEL R. WILMINK , SIMEON C. CALVERT
Abstract: With increasing numbers of vehicles using low level automation and higher level automation expected in the future, significant effects are expected on traffic flow. Despite much simulation and driving simulator research on SAE level 1 vehicles, there remain many questions in regard to the effects of the systems on traffic flow. The effects of higher levels of automation are even more difficult to estimate, as these vehicles are not even present on roads at this time, let alone in sufficient numbers to analyze. In this research, we propose a methodology for a-priori analysis of potential conflict situations: Method for Explorative TRaffic scenario Observation and Analysis (METRO-A). It is applied to the case of automated driving in conventional traffic to analyze potential difficulties that SAE level 3 and 4 and higher vehicles may encounter in mixed traffic conditions, for a weaving section case-study. Furthermore, a set of important research questions are constructed that are relevant
- Publication Date: 16-Dec-2016
- DOI: 10.15224/978-1-63248-114-6-33
- Views: 0
- Downloads: 0