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020 ▼a 9780438206267
035 ▼a (MiAaPQ)AAI10745964
035 ▼a (MiAaPQ)rpi:11239
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 621
1001 ▼a Granzow, Brian Neal.
24510 ▼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
5021 ▼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
71020 ▼a Rensselaer Polytechnic Institute. ▼b Mechanical Engineering.
7730 ▼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
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996872 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자