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Predicting Failure in Aircraft Structures – Simulating Fracture across Scales and Times
Published on Mar 06, 2018983 Views
You could fly every day of your life in a commercial aircraft for twenty thousand years without suffering a fatal accident. This extraordinary level of safety is the product of decades of engineering
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Chapter list
Data-driven modelling and simulation: fracture and medical simulations00:00
Computational Sciences Luxembourg - 100:28
Department of Computational Engineering & Sciences Legato Team00:45
Luxembourg - 101:04
Luxembourg - 201:22
Paris, France01:31
Luxembourg - 301:47
Ljubljana, Slovenia - 102:06
Ljubljana, Slovenia - 202:30
Ljubljana, Slovenia - 302:46
February Climbing Challenge03:10
Computational Sciences Luxembourg - 203:18
Medicine / Mechanics - 104:25
In the media - 104:58
In the media - 205:18
Digital twin of...05:36
Surgical stimulation06:46
Deep-brain stimulation08:30
Tissues mechanics regulate brain development, homeostasis and disease10:13
Computational Sciences & Transition to Data-Driven Modelling 11:29
Quantify the quality of the simulation - 111:43
Quantify the quality of the simulation - 212:21
Quantify the quality of the simulation - 312:54
Quantify the quality of the simulation - 413:35
Quantify the quality of the simulation - 514:21
Quantify the quality of the simulation - 614:34
Quantify the quality of the simulation - 715:05
Quantify the quality of the simulation - 815:19
Quantify the quality of the simulation - 915:48
Quantify the quality of the simulation - 1015:58
Quantify the quality of the simulation - 1116:06
Quantify the quality of the simulation - 1216:35
ERC: First love17:31
Wilbur and Orville Wright, 1903 - 117:55
Wilbur and Orville Wright, 1903 - 218:06
Aircraft Safety18:27
Worldwide Statistics19:02
Accident Rates and Fatalities / Year19:19
Learning from Intuition and Theory19:26
Learning from Experience19:55
Learning from Experiments20:25
New Materials for More Payload20:46
A Botled Joint21:17
A380 Giant21:37
Intractable Problem Size22:00
Control the Error22:18
A Simple Approach to Reducing Problem Size23:06
1999-2003 Damage Tolerance Assessment of Aerospace Structures PhD23:14
How Often Should We Inspect a Structure for Flaws?24:17
Refine Along the 25:31
Much Better... Adapt the Discretisation Locally - 125:51
Much Better... Adapt the Discretisation Locally - 226:08
Take Home Message26:23
Limitations26:40
From Your First Love to the ERC27:07
Motivation - 127:35
Motivation - 227:46
Aero / Bio28:18
Surgical Guidance - 128:38
Surgical Guidance - 229:26
Surgical Guidance - 330:36
Questions30:51
Model of Contractile Tissue32:17
A Posterriori Error Estimates34:23
Dual Weighted Residuals (DWR)34:46
Genioglossus Activation - 135:47
Genioglossus Activation - 236:19
Effect of Adaptive Refinement37:00
Effectivity of the Error Indicator37:18
Arterial Wall Activation - 137:21
Arterial Wall Activation - 237:42
Arterial Wall Activation - 338:04
Arterial Wall Activation - 438:07
Effectivity38:19
Surgical Guidance - 438:19
Surgical Training38:20
Next Challenges39:22
From Surgical Training to Surgical 40:01
What We Do in Engineering Modelling and Simulations - 140:03
What We Do in Engineering Modelling and Simulations - 240:06
We Cannot Do in Biomechanics... - 141:13
We Cannot Do in Biomechanics... - 241:14
Assuming the material model is representative, what is the influence of each parameter in the model? 42:17
Confidence level in predicting the target location42:46
Digital Twin Concept - 143:19
Digital Twin Concept - 243:50
Medicine / Mechanics - 244:25
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 144:29
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 245:08
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 345:20
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 445:31
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 545:33
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 645:35
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 745:39
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 846:33
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 946:44
One Way of Doing Search Updating of a priori Known Information with a posteriori Known Data - 1046:47
Conclusions - 147:01
Conclusions - 247:55
Partners and Funding48:54
Where are we? - 149:07
Where are we? - 249:27
A bit of suffering...49:49
But much more fun!49:53
Thank you for your attention!49:58
Cast - 150:05
Cast - 250:06
Cast - 350:07
More details50:07
Other presentations and papers50:09
The Butcher´s Race50:15