Survey and evaluation of initial condition of expressway embankment by geophysical explorations
-
- NAKASHIMA Kosuke
- Central Nippon Expressway Company Limited
-
- YASHIMA Atsushi
- Department of Civil Engineering, Gifu University
-
- MURATA Yoshinobu
- Department of Civil Engineering, Center for Infrastructure Asset Management Technology and Research, Gifu University
-
- KARIYA Keizo
- Department of Civil Engineering, Center for Infrastructure Asset Management Technology and Research, Gifu University
-
- OKADA Kazuhiro
- Central Nippon Expressway Company Limited Nagoya Branch
-
- SASAMOTO Naoyuki
- Central Nippon Highway Engineering Tokyo Company Limited
-
- SEKIGUCHI Masashi
- Central Nippon Highway Engineering Nagoya Company Limited
Bibliographic Information
- Other Title
-
- 物理探査を用いた高速道路盛土の初期の工学的指標の把握
Abstract
<p>Expressway embankment has an individual characteristic based on embankment material, supporting foundation ground and construction procedure, etc. The difference with respect to the deterioration with time is also induced by the initial condition of the embankment. Therefore, in order to diagnose road embankment soundness, we have to visualize the initial condition of the inside the embankment. In this study, the automatic technology for surveys and evaluations of embankments by using surface wave exploration and electric resistivity exploration has been performed. As a result, we could understand the initial distribution of S wave velocity which is closely related to the stiffness of the embankment. It was also confirmed that location with different embankment materials and different ease of compaction had large variations in S wave velocities. In addition, by using the developed cart and impact power induced by the FWD test, the exploration speed was significantly improved, and the measurement was performed in a very short period of time before expressway opening.</p>
Journal
-
- Japanese Geotechnical Journal
-
Japanese Geotechnical Journal 17 (2), 205-216, 2022-06-01
The Japanese Geotechnical Society
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390292251345844096
-
- ISSN
- 18806341
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- Crossref
-
- Abstract License Flag
- Disallowed