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Institution

ParisTech

EducationParis, France
About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Residual stress & Finite element method. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors provided experimental data on flow separation from a model of the human vocal folds, where one vocal fold was fixed and the other oscillated due to fluid-structure interaction.
Abstract: The paper provides experimental data on flow separation from a model of the human vocal folds. Data were measured on a four times scaled physical model, where one vocal fold was fixed and the other oscillated due to fluid–structure interaction. The vocal folds were fabricated from silicone rubber and placed on elastic support in the wall of a transparent wind tunnel. A PIV system was used to visualize the flow fields immediately downstream of the glottis and to measure the velocity fields. From the visualizations, the position of the flow separation point was evaluated using a semiautomatic procedure and plotted for different airflow velocities. The separation point position was quantified relative to the orifice width separately for the left and right vocal folds to account for flow asymmetry. The results indicate that the flow separation point remains close to the narrowest cross-section during most of the vocal fold vibration cycle, but moves significantly further downstream shortly prior to and after glottal closure.

36 citations

Journal ArticleDOI
TL;DR: This paper shows that HT-GC × GC analysis using CO(2) cryogenic modulator and short wide bore columns with a thin film of stationary phase allows the elution of linear alkanes up to nC(68) (641 °C) as well as of highly aromatic hydrocarbons like coronene.

36 citations

Journal ArticleDOI
TL;DR: In this article, the role of Fe content on the damage mechanisms of Al-Si-Cu alloy on a microstructural level was investigated using a Digital Image Correlation (DIC) method.

36 citations

Proceedings ArticleDOI
07 Nov 2009
TL;DR: These new algorithms are designed to preserve as much as possible the computational efficiency of the basic ΣΔ estimation, in order to target real-time implementation for low power consumption processors and embedded systems.
Abstract: This article introduces a new hierarchical version of a set of motion detection algorithms called ΣΔ These new algorithms are designed to preserve as much as possible the computational efficiency of the basic ΣΔ estimation, in order to target real-time implementation for low power consumption processors and embedded systems

36 citations

Journal ArticleDOI
TL;DR: In this paper, the collective motion of defects inside a NiTi shape memory alloys material was investigated by studying the statistical distributions of acoustic emissions avalanches due to these defects along cycling and it was found that these distributions follow power-law statistics for which the evolutions of exponents through cyclic driving are estimated.

35 citations


Authors

Showing all 1899 results

NameH-indexPapersCitations
Mathias Fink11690051759
George G. Malliaras9438228533
Mickael Tanter8558329452
Gerard Mourou8265334147
Catherine Lapierre7922718286
Carlo Adamo7544436092
Jean-François Joanny7229420700
Marie-Paule Lefranc7238121087
Paul B. Rainey7022217930
Vincent Lepetit7026826207
Bernard Asselain6940923648
Michael J. Baker6939420834
Jacques Prost6819819064
Jean-Philippe Vert6723517593
Jacques Mairesse6631020539
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202212
202174
202093
2019127
2018145