Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김은주 | - |
dc.date.accessioned | 2019-12-10T15:51:17Z | - |
dc.date.available | 2019-12-10T15:51:17Z | - |
dc.date.issued | 2018-12 | - |
dc.identifier.citation | 한국도로학회논문집, v. 20, no. 6, page. 31-39 | en_US |
dc.identifier.issn | 1738-7159 | - |
dc.identifier.issn | 2287-3678 | - |
dc.identifier.uri | http://www.ijhe.or.kr/journal/article.php?code=64987 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/121009 | - |
dc.description.abstract | PURPOSES: This paper develops a new stochastic approach to analyze the pavement-vehicle interaction model with a certain roughness and elasticity for the pavement foundation, thereby accommodating the deflection of the pavement, and to identify the road subsidence zone represented with a sudden changes in the elasticity of the foundation.METHODS: In the proposed model, a quarter-car model was combined with a filtered white noise model of road roughness and a two-layer foundation (Euler-Bernoulli beam for the top surface and Winkler foundation to represent the sub-structure soil). An augmented state-space model for the subsystems was formulated. Then, because the input is White noise and the system is represented as a single system, the Lyapunov equation governing the covariance of the system’s response was solved to obtain a structurally weak zone index (WZI).RESULTS: The results showed that the WZI from the pavement-vehicle interaction model is sensitive enough to identify road subsidence. In particular, the WZI rapidly changed with a small change in foundation elasticity, indicating that the model has the potential to detect road subsidence in the early stage.CONCLUSIONS: Beacause of the simplicity of the calculation, the proposed approach has potential applications in managing road conditions while a vehicle travels along the road and detecting road subsidence using a device with an on-board computational capability, such as a smart phone. | en_US |
dc.description.sponsorship | 본 연구는 행정안전부 공간정보 기반 실감 재난관리 맞춤 형 콘텐츠 제공 기술개발사업의 연구비지원(과제번호 18DRMS-B146826-01)에 의해 수행되었습니다. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국도로학회 | en_US |
dc.subject | Elastic foundation | en_US |
dc.subject | Lyapunov solution | en_US |
dc.subject | Weak foundation identification | en_US |
dc.subject | Stochastic model | en_US |
dc.title | 이동차량의 동적 확률모델을 통한 도로 함몰예상지역식별 알고리즘의 개발 | en_US |
dc.title.alternative | The Identification of Road Subsidence Zone from Stochastic Modelling of Dynamic Characteristics of a Moving Vehicle | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 20 | - |
dc.identifier.doi | 10.7855/IJHE.2018.20.6.031 | - |
dc.relation.page | 31-39 | - |
dc.relation.journal | 한국도로학회논문집 | - |
dc.contributor.googleauthor | 김은주 | - |
dc.contributor.googleauthor | 전성일 | - |
dc.contributor.googleauthor | Kim, Eunju | - |
dc.contributor.googleauthor | Jeon, Sung Il | - |
dc.relation.code | 2018019373 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | robinekim | - |
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