LDR | | 00000nmm u2200205 4500 |
001 | | 000000334679 |
005 | | 20241108115254 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438206267 |
035 | |
▼a (MiAaPQ)AAI10745964 |
035 | |
▼a (MiAaPQ)rpi:11239 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 621 |
100 | 1 |
▼a Granzow, Brian Neal. |
245 | 10 |
▼a New Approaches for Adjoint-based Error Estimation and Mesh Adaptation in Stabilized Finite Element Methods with an Emphasis on Solid Mechanics Applications. |
260 | |
▼a [S.l.] :
▼b Rensselaer Polytechnic Institute.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 144 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Advisers: Mark S. Shephard |
502 | 1 |
▼a Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018. |
520 | |
▼a In a finite element simulation, not all of the computed data is of equal importance. Rather, the goal of an engineering practitioner is often to accurately assess only a small number of critical outputs, such as the displacement at a point or th |
520 | |
▼a In this thesis, we present an approach to automate the process of adjoint-based error estimation and mesh adaptation to lower the barrier of entry for solid mechanics practitioners. This approach has been developed to be applicable to both Galer |
520 | |
▼a The variational multiscale (VMS) method is a particular methodology that allows one to develop a stabilized finite element method. As a further research endeavor, we develop and investigate a novel approach for adjoint-based error estimation and |
590 | |
▼a School code: 0185. |
650 | 4 |
▼a Mechanical engineering. |
690 | |
▼a 0548 |
710 | 20 |
▼a Rensselaer Polytechnic Institute.
▼b Mechanical Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0185 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996872
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |