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Accurate and Efficient Multi-Materia...

Li, Xuan,

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Accurate and Efficient Multi-Material Simulations for Physics-Integrated Digital Twins /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Accurate and Efficient Multi-Material Simulations for Physics-Integrated Digital Twins // Xuan Li.
Author:	Li, Xuan,
Description:	1 electronic resource (430 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-09, Section: B.
Contained By:	Dissertations Abstracts International86-09B.
Subject:	Applied mathematics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31843674
ISBN:	9798308197157

Accurate and Efficient Multi-Material Simulations for Physics-Integrated Digital Twins /
Li, Xuan,

Accurate and Efficient Multi-Material Simulations for Physics-Integrated Digital Twins /Xuan Li. - 1 electronic resource (430 pages)

Source: Dissertations Abstracts International, Volume: 86-09, Section: B.

This thesis explores research advancements in building accurate physics-integrated digital twins. First, as the core computational engine, accurate and efficient simulations are essential for achieving realistic dynamics. To this end, we develop improved inelasticity simulation frameworks for both the Material Point Method (MPM) and the Finite Element Method (FEM). Additionally, we introduce FEM-MPM coupled simulation frameworks that leverage the strengths of both methods to enable multi-material simulations. Furthermore, we propose efficiency enhancements for cloth and inelasticity simulations. Second, digital twins must be grounded in real-world data. Leveraging recent advancements in neural rendering and differentiable rendering, we propose methods for estimating physical parameters from multiview videos, directly simulating reconstructed environments, immersively interacting with reconstructed worlds, and faithfully reconstructing simulation-ready garments from single-view images. Finally, we demonstrate the critical role of digital twins in mechanical design. Using our simulation-driven approach, we successfully fabricate an aerial vehicle with dual operational modes.

English

ISBN: 9798308197157Subjects--Topical Terms:

2122814
Applied mathematics.
Subjects--Index Terms:

Material Point Method

Accurate and Efficient Multi-Material Simulations for Physics-Integrated Digital Twins /
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300 $a 1 electronic resource (430 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 86-09, Section: B.
500 $a Advisors: Jiang, Chenfanfu Committee members: Osher, Stanley; Terzopoulos, Demetri; Wu, Ying Nian.
502 $b Ph.D. $c University of California, Los Angeles $d 2025.
520 $a This thesis explores research advancements in building accurate physics-integrated digital twins. First, as the core computational engine, accurate and efficient simulations are essential for achieving realistic dynamics. To this end, we develop improved inelasticity simulation frameworks for both the Material Point Method (MPM) and the Finite Element Method (FEM). Additionally, we introduce FEM-MPM coupled simulation frameworks that leverage the strengths of both methods to enable multi-material simulations. Furthermore, we propose efficiency enhancements for cloth and inelasticity simulations. Second, digital twins must be grounded in real-world data. Leveraging recent advancements in neural rendering and differentiable rendering, we propose methods for estimating physical parameters from multiview videos, directly simulating reconstructed environments, immersively interacting with reconstructed worlds, and faithfully reconstructing simulation-ready garments from single-view images. Finally, we demonstrate the critical role of digital twins in mechanical design. Using our simulation-driven approach, we successfully fabricate an aerial vehicle with dual operational modes.
546 $a English
590 $a School code: 0031
650 4 $a Applied mathematics. $3 2122814
650 4 $a Computer science. $3 523869
650 4 $a Computational physics. $3 3343998
653 $a Material Point Method
653 $a Finite Element Method
653 $a Inelasticity simulations
653 $a Digital twins
690 $a 0364
690 $a 0984
690 $a 0216
710 2 $a University of California, Los Angeles. $b Mathematics 0540. $e degree granting institution. $3 3821487
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773 0 $t Dissertations Abstracts International $g 86-09B.
790 $a 0031
791 $a Ph.D.
792 $a 2025
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