MARC보기
LDR00000nmm u2200205 4500
001000000334684
00520241108115028
008181129s2018 ||| | | | eng d
020 ▼a 9780438144415
035 ▼a (MiAaPQ)AAI10746062
035 ▼a (MiAaPQ)umd:18800
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 621
1001 ▼a Myers, Taylor.
24510 ▼a Predicting Fire Sprinkler Sprays.
260 ▼a [S.l.] : ▼b University of Maryland, College Park., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 177 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Andre W. Marshall.
5021 ▼a Thesis (Ph.D.)--University of Maryland, College Park, 2018.
520 ▼a Accurate representation of fire sprinkler spray enables quantitative engineering analysis of fire suppression performance. Increasingly, fire sprinkler systems are evaluated using computer fire models in which sprinkler spray is simulated with L
590 ▼a School code: 0117.
650 4 ▼a Mechanical engineering.
650 4 ▼a Fluid mechanics.
690 ▼a 0548
690 ▼a 0204
71020 ▼a University of Maryland, College Park. ▼b Mechanical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0117
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996876 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자