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A Reproducing Kernel Particle Method Framework for Modeling Failure of Structures Subjected to Blast Loadings.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Reproducing Kernel Particle Method Framework for Modeling Failure of Structures Subjected to Blast Loadings./
Author:	Zhou, Guohua.
Description:	1 online resource (138 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 78-08, Section: B.
Contained By:	Dissertations Abstracts International78-08B.
Subject:	Mechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10242358click for full text (PQDT)
ISBN:	9781369451184

A Reproducing Kernel Particle Method Framework for Modeling Failure of Structures Subjected to Blast Loadings.
Zhou, Guohua.

A Reproducing Kernel Particle Method Framework for Modeling Failure of Structures Subjected to Blast Loadings. - 1 online resource (138 pages)

Source: Dissertations Abstracts International, Volume: 78-08, Section: B.

Thesis (Ph.D.)--University of California, San Diego, 2016.

Includes bibliographical references

The numerical simulation of transient dynamic failure of structures subjected to blast loadings requires the key physics such as strong shocks in fluid (explosive gas and air) and solid media, fluid-structure interaction, material damage and fragmentations, and multi-body contact to be properly considered in the mathematical formulation and the associated numerical algorithms. These dominant phenomena in blast events yield "rough solution" in the conservation equations in the form of moving discontinuities that cannot be effectively modeled by the conventional finite element methods. A semi-Lagrangian meshfree Reproducing Kernel Particle Method (RKPM) framework is proposed to model such extreme events in this study. In this work, shock waves in both air and solid are modeled by embedding the Godunov flux into the semi-Lagrangian RKPM formulation in a unified manner. The essential shock physics are introduced in the proposed node-based Riemann solver, and the Gibbs oscillation is limited by introducing a gradient smoothing technique. In this thesis, two formulations are proposed and verified by solving a set of multi-dimensional benchmark problems involving strong shocks in fluids and solids. The air-structure interface is treated by a level set enhanced natural kernel contact algorithm, which does not require the definition of potential contact surfaces a priori. The blast-induced fragmentation is simulated by the damage model under the semi-Lagrangian RKPM discretization without using the artificial element erosion technique. Several benchmark problems have been solved to verify the accuracy and performance of the proposed numerical formulation. This computational framework is then applied to the simulation of a reinforced concrete column subjected to blast loading and explosive welding processes, demonstrating the effectiveness and robustness of the proposed methods.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9781369451184Subjects--Topical Terms:

525881
Mechanics.
Subjects--Index Terms:

Blast loadingsIndex Terms--Genre/Form:

542853
Electronic books.

A Reproducing Kernel Particle Method Framework for Modeling Failure of Structures Subjected to Blast Loadings.
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245 1 2 $a A Reproducing Kernel Particle Method Framework for Modeling Failure of Structures Subjected to Blast Loadings.
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300 $a 1 online resource (138 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 78-08, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Chen, Jiun-Shyan.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2016.
504 $a Includes bibliographical references
520 $a The numerical simulation of transient dynamic failure of structures subjected to blast loadings requires the key physics such as strong shocks in fluid (explosive gas and air) and solid media, fluid-structure interaction, material damage and fragmentations, and multi-body contact to be properly considered in the mathematical formulation and the associated numerical algorithms. These dominant phenomena in blast events yield "rough solution" in the conservation equations in the form of moving discontinuities that cannot be effectively modeled by the conventional finite element methods. A semi-Lagrangian meshfree Reproducing Kernel Particle Method (RKPM) framework is proposed to model such extreme events in this study. In this work, shock waves in both air and solid are modeled by embedding the Godunov flux into the semi-Lagrangian RKPM formulation in a unified manner. The essential shock physics are introduced in the proposed node-based Riemann solver, and the Gibbs oscillation is limited by introducing a gradient smoothing technique. In this thesis, two formulations are proposed and verified by solving a set of multi-dimensional benchmark problems involving strong shocks in fluids and solids. The air-structure interface is treated by a level set enhanced natural kernel contact algorithm, which does not require the definition of potential contact surfaces a priori. The blast-induced fragmentation is simulated by the damage model under the semi-Lagrangian RKPM discretization without using the artificial element erosion technique. Several benchmark problems have been solved to verify the accuracy and performance of the proposed numerical formulation. This computational framework is then applied to the simulation of a reinforced concrete column subjected to blast loading and explosive welding processes, demonstrating the effectiveness and robustness of the proposed methods.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Mechanics. $3 525881
650 4 $a Civil engineering. $3 860360
653 $a Blast loadings
653 $a Compressible flow/fluid
653 $a Explosive/impact welding
653 $a Meshfree/meshless method
653 $a Semi-Lagrangian reproducing kernel particle method
653 $a Shock wave
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0346
690 $a 0543
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of California, San Diego. $b Structural Engineering. $3 1020656
773 0 $t Dissertations Abstracts International $g 78-08B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10242358 $z click for full text (PQDT)