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Vehicle-Borne Autonomous Railroad Bridge Impairment Detection Systems
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Vehicle-Borne Autonomous Railroad Bridge Impairment Detection Systems. |
| 개인저자 | Allard, Austin J. |
| 단체저자명 | Texas A&M University. Civil Engineering. |
| 발행사항 | [S.l.]: Texas A&M University., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 303 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-08B(E). Dissertation Abstract International |
| ISBN | 9780355784879 |
| 학위논문주기 | Thesis (Ph.D.)--Texas A&M University, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Adviser: Gary T. Fry. |
| 요약 | Timber railroad bridges have been exposed to increasingly large axle loadings accompanied by a steady increase in the amount of railcar traffic over the past 50 years. In addition to mechanical loading, there exists a number of environmental con |
| 요약 | This research examines an automated impairment detection system positioned on a railcar capable of traversing multiple bridges along a track to aid in determining critical bridges that need to be inspected. The technology and techniques presente |
| 요약 | The objective of the research is to develop technology that will autonomously detect structural impairments in timber railroad bridges using data gathered from rail vehicles that cross the bridges. This was accomplished by recording the behavior |
| 일반주제명 | Civil engineering. Mechanical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
