| LDR | | 02034nmm uu200421 4500 |
| 001 | | 000000331160 |
| 005 | | 20240805163535 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438173064 |
| 035 | |
▼a (MiAaPQ)AAI10838565 |
| 035 | |
▼a (MiAaPQ)columbia:14811 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 530 |
| 100 | 1 |
▼a Tal, David. |
| 245 | 10 |
▼a Uncertainty Quantification in CompositeMaterials. |
| 260 | |
▼a [S.l.] :
▼b Columbia University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 112 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Jacob Fish. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Columbia University, 2018. |
| 520 | |
▼a The random nature of the micro-structural attributes in materials in general and composite material systems in particular requires expansion of material modeling in a way that will incorporate their inherent uncertainty and predict its impact on |
| 520 | |
▼a The work presented in this essay takes a few steps towards an improved material modeling approach which encompasses structural randomness in order to produce a more realistic representation of material systems. For this end a computational frame |
| 520 | |
▼a Image processing and analysis in one of the material systems extended the original scope of this work to solving a machine vision and learning problem. Object segmentation for the purpose object and pattern recognition has been a long standing s |
| 590 | |
▼a School code: 0054. |
| 650 | 4 |
▼a Computational physics. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0216 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a Columbia University.
▼b Civil Engineering and Engineering Mechanics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0054 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999640
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |