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Institution

Université Nantes Angers Le Mans

EducationNantes, France
About: Université Nantes Angers Le Mans is a education organization based out in Nantes, France. It is known for research contribution in the topics: Geology & Finite element method. The organization has 434 authors who have published 249 publications receiving 7208 citations. The organization is also known as: PRES Universite Nantes Angers Le Mans.


Papers
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Journal ArticleDOI
TL;DR: In this article, a multiobjective optimization procedure is employed to retrieve the viscoelatic parameters of silica aerogel clamped plates, which preserves the sample integrity and relies on the minimization of two different cost functions.
Abstract: A multiobjective optimization procedure is employed to retrieve the viscoelatic parameters of silica aerogel clamped plates. This retrieval method preserves the aerogel sample integrity and, in contrast to the existing ones, relies on the minimization of two different cost functions. The first one, namely J1, is related to the reflective properties of clamped plates backed by a rigid cavity, while the second one, namely J2, concerns both the reflectance and transmittance spectra measured in transmission configuration. The recovered parameters are in agreement with previously reported values in the literature. In addition, they are also supported by designing structures for perfect absorption (100% of absorption), which has been validated experimentally. Aerogel plates can be therefore used as innovative building units of artificial structures for the broadband absorption of sound.

11 citations

Journal ArticleDOI
TL;DR: An extension to the Wave Based Method to predict the absorption, reflection and transmission coefficients of a porous material with an embedded periodic set of inclusions that is meshless and computationally efficient, which makes it well suited for optimisation studies.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the gamma radiation was used for the synthesis of platinum nanoparticles by gamma irradiation at a dose of 70, 90 and 120 kGy, and the size of the nanoparticles was found to be 7.39 nm.
Abstract: The synthesis of Platinum (Pt) nanoparticles by gamma irradiation is presented. The 0.1 M Pt solution of different concentration was prepared from K2PtCl4. The platinum aqueous solutions were irradiated by gamma radiation at a dose of 70, 90 and 120 kGy. The findings show the effect of irradiation on PtII solutions with different concentrations. The big black particles that are fairly agglomerated when the concentration was above 0.0050 M were observed. The UV-Vis spectrum of Pt of different concentrations shows a strong absorption peak at the wavelength 261 nm after irradiation, which indicates the presence of platinum nanoparticles. Furthermore, FTIR, XRD and HRTEM images also confirmed the presence of the nanoparticles produced by Radiolysis. The size of the Pt nanoparticles was found to be 7.39 nm.

10 citations

Journal ArticleDOI
TL;DR: Bayesian inference results obtained from the proposed modeling extension for the description of wave propagation in porous media at low-mid frequencies suggest that the two additional parameters described by two parameters α 1 and α 2 are accessible and help reduce systematic errors in the identification of other parameters.
Abstract: In this article, a modeling extension for the description of wave propagation in porous media at low-mid frequencies is introduced. To better characterize the viscous and inertial interactions between the fluid and the structure in this regime, two additional terms described by two parameters α1 and α2 are taken into account in the representation of the dynamic tortuosity in a Laurent-series on frequency. The model limitations are discussed. A sensitivity analysis is performed, showing that the influence of α1 and α2 on the acoustic response of porous media is significant. A general Bayesian inference is then conducted to infer, simultaneously, the posterior probability densities of the model parameters. The proposed method is based on the measurement of waves transmitted by a slab of rigid porous material, using a temporal model for the direct and inverse transmission problem. Bayesian inference results obtained on three different porous materials are presented, which suggests that the two additional parameters are accessible and help reduce systematic errors in the identification of other parameters: porosity, static viscous permeability, static viscous tortuosity, static thermal permeability, and static thermal tortuosity.

10 citations


Authors

Showing all 446 results

NameH-indexPapersCitations
Jean-Pierre Benoit7842822384
Denis Jacquemin6962322712
Olivier Beauchet6332013778
Dominique Heymann6234713497
Paul Calès6135314123
Jérôme Guicheux582389568
Ignacio Anegon5726511797
Cédric Annweiler543469990
Michel Neunlist532049136
Patrick Saulnier5021913125
Bruno Le Bizec502959082
Alain Mercat4914216603
Vincent Rohmer481217090
J.C. Bernède473457669
Jean-Philippe Antignac461716392
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202224
20211
20205
20196
201813