라오스 비포장 도로 개선을 위한 안정처리 특성 분석 연구 = Mathematical modeling, Mending test, PG grade, Porous asphalt pavement

다국어 초록 (Multilingual Abstract)

The soil of Laos is red soil throughout the country and is very hard when dry. And, it is characterized by high viscosity when in contact with water. So, during the rainy season in Laos, it is very difficult for people and vehicles to pass on unpaved roads, and in the dry season, a lot of dust is generated, and red dust accumulates on private houses along the roads every day. In order to solve this problem a little bit, stone aggregate and river pebbles are sprinkled on the road surface and compacted, but it is not effective because it is repeatedly damaged during the rainy season. Therefore, most constructions are constructed in such a way that mixed aggregate is used as the base layer and DBST pavement is performed on top of it. In this study, the following indoor tests were conducted to reinforce unpaved roads in Laos. In addition, soil property tests using silt and mixed aggregate were conducted using soil-related tests of materials. Basic physical property tests other than density were conducted according to the Korean standard test method (KS) for Eumseong soil and mixed aggregate (40 mm) in Chungcheongbuk-do, which was judged to be the most similar to Laos soil. . A physical property test was conducted to select an appropriate mixing ratio by identifying the strength characteristics obtained by mixing the binder, soil, and mixed aggregate, and the following conclusions were obtained. 1) In the compaction test, the maximum dry density and optimum moisture content did not change significantly according to the binder mixing ratio, but the CBR value increased significantly with the increase of the binder mixing amount and age. 2) Comparing the strength increase rates of 3%, 6%, and 9% binder mixing ratio, higher strength was shown when the binder mixing amount increased from 3% to 6% than when the binder mixing amount increased from 6% to 6%. In addition, additional tests with more mixing conditions are needed to find the optimal mixing conditions.