AYSE KUCUKYILMAZ AYSE.KUCUKYILMAZ@NOTTINGHAM.AC.UK
Associate Professor
This thesis describes a system for simulating fracture in brittle objects. The system combines rigid body simulation methods with a constraint-based model to animate fracturing of arbitrary polyhedral shaped objects under impact. The objects are represented as sets of masses, where pairs of adjacent masses are connected by a distance-preserving linear constraint. The movement of the objects are normally realized by unconstrained rigid body dynamics. The fracture calculations are only done at discrete collision events. In case of an impact, the forces acting on the constraints are calculated. These forces determine how and where the object will break.
The problem with most of the existing fracture systems is that they only allow simulations to be done offline, either because the utilized techniques are computationally expensive or they require many small steps for accuracy. This work presents a near-real-time solution to the problem of brittle fracture and a graphical user interface to create realistic animations.
Kucukyilmaz, A. (2007). Modelling and Animation of Brittle Fracture in Three Dimensions. (Masters). Retrieved from https://nottingham-repository.worktribe.com/output/4040521
Thesis Type | Thesis |
---|---|
Deposit Date | Feb 26, 2020 |
Keywords | brittle fracture, physics based modelling |
Public URL | https://nottingham-repository.worktribe.com/output/4040521 |
Additional Information | MSc -- Department of Computer Engineering, Bilkent University, Turkey, 2007. |
Award Date | Sep 28, 2007 |
Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space
(2024)
Presentation / Conference Contribution
LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems
(2023)
Presentation / Conference Contribution
TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals
(2023)
Presentation / Conference Contribution
Resolving conflicts during human-robot co-manipulation
(2023)
Presentation / Conference Contribution
ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments
(2022)
Presentation / Conference Contribution
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search