자료유형 | E-Book |
---|---|
개인저자 | Allard, Austin J. |
단체저자명 | Texas A&M University. Civil Engineering. |
서명/저자사항 | Vehicle-Borne Autonomous Railroad Bridge Impairment Detection Systems. |
발행사항 | [S.l.] : Texas A&M University., 2017 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
형태사항 | 303 p. |
소장본 주기 | School code: 0803. |
ISBN | 9780355784879 |
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 |
기본자료 저록 | Dissertation Abstracts International79-08B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997780 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00027224 | 624 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |