國立虎尾科技大學 |

Integrating adjoint based analysis and advanced interface capturing for accurate hazard prediction in geophysical mass flows.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Integrating adjoint based analysis and advanced interface capturing for accurate hazard prediction in geophysical mass flows./
作者:	Aghakhani, Hossein.
面頁冊數:	1 online resource (121 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Contained By:	Dissertation Abstracts International78-07B(E).
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781369593556

Integrating adjoint based analysis and advanced interface capturing for accurate hazard prediction in geophysical mass flows.
Aghakhani, Hossein.

Integrating adjoint based analysis and advanced interface capturing for accurate hazard prediction in geophysical mass flows. - 1 online resource (121 pages)

Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Multi-scale physics, uncertain parameters, the sparsity of the data, and spurious features in numerical solutions are among the challenges in studying hazardous geophysical mass flows numerically using depth-averaged assumptions. In this dissertation, we discussed and addressed the "thin layer" or wetting/drying problem and the computing and use of discrete adjoints in numerical simulations of this class of flow. Adjoint-based methods allow effective use of the information in simulations for a number of purposes -- notable among them being numerical error estimation in quantities of interest and uncertainty quantification.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369593556Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Integrating adjoint based analysis and advanced interface capturing for accurate hazard prediction in geophysical mass flows.
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245 1 0 $a Integrating adjoint based analysis and advanced interface capturing for accurate hazard prediction in geophysical mass flows.
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300 $a 1 online resource (121 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
500 $a Adviser: Abani Patra.
502 $a Thesis (Ph.D.) $c State University of New York at Buffalo $d 2017.
504 $a Includes bibliographical references
520 $a Multi-scale physics, uncertain parameters, the sparsity of the data, and spurious features in numerical solutions are among the challenges in studying hazardous geophysical mass flows numerically using depth-averaged assumptions. In this dissertation, we discussed and addressed the "thin layer" or wetting/drying problem and the computing and use of discrete adjoints in numerical simulations of this class of flow. Adjoint-based methods allow effective use of the information in simulations for a number of purposes -- notable among them being numerical error estimation in quantities of interest and uncertainty quantification.
520 $a The thin layer problem or wetting/drying problem is a very important challenge for all of the shallow water type equations. For the first time, here, we used two Eulerian interface capturing techniques to address this problem and compared the obtained results with a heuristic method which is the conventional way to address this problem. By the numerical techniques that we used to decrease the computational cost, we successfully and more accurately captured the interface for flows at Colima volcano with the level set and phase field methods with the same computational cost.
520 $a On the second part of this dissertation, we introduced a new framework and the data structures for computing discrete adjoints for our finite volume code which has the adaptive mesh refinement and parallel computing features. Moreover, the proper way to compute the discrete Jacobian and also efficient ways to access the data with affordable computational cost were presented. After computing and verifying the computed discrete adjoint its results were used for error estimation and construction of a gradient-enhanced Kriging based surrogate for the different quantity of the interests.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
655 7 $a Electronic books. $2 local $3 554714
690 $a 0548
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a State University of New York at Buffalo. $b Mechanical and Aerospace Engineering. $3 845600
773 0 $t Dissertation Abstracts International $g 78-07B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255438 $z click for full text (PQDT)