| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2013-10-25 |
| タイトル |
|
|
タイトル |
PREDICTION OF BRIDGE DETERIORATION USING GIS-BASED MARKOV TRANSITION MATRIX |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
deterioration prediction |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Markov chain model |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
GIS |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
CHUN, Pang-jo
INOUE, Tatsuo
SETO, Daisuke
OHGA, Mitao
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
This manuscript proposes a bridge deterioration prediction method using a Markov chain model, whose transition probabilities are expressed as a function of environmental conditions. These conditions are obtained from a Geographic Information System (GIS) bridge database developed in Ehime University (E-GISDB). In addition, this paper validates the proposed method using the inspection results of bridges in City J in Ehime prefecture, Japan. The method enables different deterioration predictions to be made for different bridges, which is not possible with conventional methods. As a result, it is shown that predictions obtained by the proposed method are much more accurate than those obtained by conventional methods, especially for RC bridges near the coast, which experience the most severe degradation of all bridges due to the salt breeze. |
| 書誌情報 |
Society for Social Management Systems Internet Journal
巻 8,
発行日 2012-05
|
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 出版者 |
|
|
出版者 |
Society for Social Management Systems |
sms12-1852.pdf (246.4 kB)
