1992 Fiscal Year Final Research Report Summary
Development of real-time damage estimation system of lifeline facilities using neural networks
| Project/Area Number |
03555103
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
土木構造
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| Research Institution | Tottori University |
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Principal Investigator |
NODA Shigeru Tottori University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (80135532)
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| Co-Investigator(Kenkyū-buntansha) |
ISOYAMA Ryoji Japan Engineering Cousultants CO., Ltd., Civil Engineering Dept., Deputy Manager, 土木本部, 次長
ANDO Tomoaki Fuji Research Institute Corporation, Supercomputing Technology Div. 3, Senior En, 解析技術第3部, 部長代理
NAGATA Shigeru University of tokyo, Institute of Industrial Science, Assistant Professor, 生産技術研究所, 講師 (50217999)
KAWAKAMI Hideji Saitama University, Faculty of Engineering Associate Professor, 工学部, 助教授 (50125887)
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| Project Period (FY) |
1991 – 1992
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| Keywords | Neural network / Lifeline system / Damage estimation / Real-time processing / Restoration process / Fuzzy reasoning / Strong-motion monitoring system / Site investigation |
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| Research Abstract |
The main results of this may be summarized as follows :
1. Site investigations were conducted for the recent two natural disasters, the typhoon 9119 on September 27-28, 1991 and the Kushiro-oki earthquake on January , 1993. Effects of power Outage to lifeline systems and urban life were investigated for the typhoon 9119. Soil effect to structural damage was confirmed for the Kushiro-oki earthquake.
In order to evaluate the reliability and serviceability of the lifeline system, 1) the space-time variation of earthquake ground motion was simulated ; 2) the relationship between the degree of physical damage to the lifeline system and the functional service ratio was theoretically investigated; and 3) an outline of the computer program ILAS (Integrated Lifeline Analysis System) was developed.
3. A real-time strong-motion data processing system was developed to detect and locate earthquake occurring in and around the Kanto area. It has been demonstrated with real arrival time data for a four-s
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tation seismic array that hypocenter location and origin time calculated by the automatic system are quite reliable.
4. Using earthquake monitoring data and soil zoning data, fuzzy reasoning enables us to perform damage estimation of gas networks. Decision analysis also employs fuzzy set theory. Proposed membership functions were examined by comparing actual damage data and the results of fuzzy reasoning . A sample calculation was also conducted as a total system.
5. A use of neural networks was proposed for earthquake damage estimation of lifeline systems. The proposed network estimates the structural damage using seismic intensities as inputs. The network trained by supervised learning well estimated the observed damage extent in a recall test.
6. An effective procedure was presented for optimization of post-earthquake restoration process of telephone service using neural networks. Results show that the repair sequencing of damaged equipment and the restoration route can be effectively determined and that the neural system may be a very useful tool for determining restoration process. Less
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Research Products
(12 results)
