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MS03.7: Computational Methods

Session Information

Jul 24, 2024 14:00 - 15:20(Europe/Amsterdam)
Venue : AULA - Collegezaal C
20240724T1400 20240724T1520 Europe/Amsterdam MS03.7: Computational Methods AULA - Collegezaal C Enoc2024 n.fontein@tudelft.nl

Sub Sessions

Parallelized refinement of nonlinear solution curves

MS-03 - Computational Methods 02:00 PM - 02:20 PM (Europe/Amsterdam) 2024/07/24 12:00:00 UTC - 2024/07/24 12:20:00 UTC
This work presents a novel approach that overcomes the sequential nature of numerical path continuation. The idea is to first define an appropriately simplified low-fidelity model and predict its relevant dynamics with low computational effort, e.g. analytically. Next, the set of relevant solution points on the target (high-fidelity) curve is computed using the low-fidelity solutions as departure. The proposed generic concept is exemplified for a selection of nonlinear vibration problems. Different types of system models, nonlinearities and analyses are considered, and the Harmonic Balance method is used in all cases to compute periodic limit states. In particular, it is shown that the proposed concept is applicable to modal and harmonic order refinement. Finally, it is shown that the concept is also interesting for system parameter sensitivity analyses and it permits to robustly reach parameter ranges that are extremely difficult to obtain with conventional path continuation.
Presenters
MP
Michael Pitzal
PhD Student, University Of Stuttgart
Co-Authors
JG
Johann Gross
Postdoc, University Of Stuttgart
MK
Malte Krack
CB
Christian Berthold
VG
Vasudev Gupta

Fast Data Assimilation for Dynamical Systems from Sparse Streaming Observations

MS-03 - Computational Methods 02:20 PM - 02:40 PM (Europe/Amsterdam) 2024/07/24 12:20:00 UTC - 2024/07/24 12:40:00 UTC
We develop a fast data assimilation method for estimating the state of a dynamical system from its partial time series observations. Our method relies on discrete empirical interpolation method (DEIM) and therefore we refer to it as extended DEIM. Extended DEIM uses an auxiliary differential equation to approximate the optimal kernel vector which appears in DEIM. The dimension of the auxiliary equation is much smaller than the dimension of the original dynamical system. Therefore, our method is particularly attractive for data assimilation of high-dimensional systems. Furthermore, extended DEIM is intentionally designed to estimate the state of the system even when few sensor measurements are available.
Presenters
MF
Mohammad Farazmand
Assistant Professor, NC State University

A new stability analysis of variable time step central difference method for transient dynamics viscoelastic problems.

MS-03 - Computational Methods 02:40 PM - 03:00 PM (Europe/Amsterdam) 2024/07/24 12:40:00 UTC - 2024/07/24 13:00:00 UTC
We develop a new explicit integration method for transient dynamics computation of viscoelastic materials, surpassing the stability limits of Belytschko’s widely used half-lagged velocity approximation. Based on the central difference (CD) scheme, our method integrates the viscous stress strain law, while keeping an explicit scheme. Moreover, we provide a new stability analysis of the variable time step central difference method. We prove that CD’s stability can be ensured only thanks to the zero-stability criteria, based on the multistep formulation of the method. We perform analytical developments on a single degree of freedom problem. Thus, we show that, without viscous damping, ensuring stability requires to decrease, or at least to maintain constant the time step during the time integration. Furthermore, we prove that, with viscous damping, there exists a slight possibility of increasing the time step during the time integration.
Presenters
BG
Benjamin GEORGETTE
PhD Student, INSA Lyon
Co-Authors
DD
David Dureisseix
Professor, INSA Lyon
AG
Anthony Gravouil
Professor, INSA Lyon

Bifurcation analysis of the coiling patterns of falling liquid threads

MS-03 - Computational Methods 03:00 PM - 03:20 PM (Europe/Amsterdam) 2024/07/24 13:00:00 UTC - 2024/07/24 13:20:00 UTC
We provide a bifurcation analysis of the coiling patterns in liquid threads falling onto a moving surface. In the inertialess regime (low fall heights), the geometric model of coiling predicts four primary coiling patterns. We report on the existence of additional stable patterns that occur at the same range of belt velocity as the meandering pattern, with more intricate patterns and longer periods.
Presenters Behrooz Yousefzadeh
Associate Professor, Concordia University
Co-Authors
WS
Will Sze
ED
Eusebius J. Doedel
IK
Ida Karimfazli
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Session Participants

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Session speakers, moderators & attendees
Associate Professor
,
Concordia University
PhD student
,
INSA Lyon
Assistant Professor
,
NC State University
PhD Student
,
University Of Stuttgart
Professor
,
University Of Exeter
Dr. Behrooz Yousefzadeh
Associate Professor
,
Concordia University
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Extendend Abstracts

1705327558ENOC__Bifurcation_Analysis_of_the_Coiling_Patterns_in_Falling_Liquid_Threads.pdf
Bifurcation analysis of the coiling p...
4
Submitted by Behrooz Yousefzadeh
1713104950ENOC_georgette.pdf
A new stability analysis of variable ...
4
Submitted by Benjamin GEORGETTE
1704898341enoc2024_Farazmand.pdf
Fast Data Assimilation for Dynamical ...
6
Submitted by Mohammad Farazmand
1704988980enoc2024_abstract_michael_pitzal.pdf
Parallelized refinement of nonlinear ...
7
Submitted by Michael Pitzal

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