S1: New characterization and measurement techniques

 
S1_KN. Jaouen : Characterisation of the acoustic, elastic and damping parameters

Abstract
Presentation

S1_1 Dupont : Methods for measuring the porosities of porous materials incorporating dead-end pores Abstract
Presentation
S1_2 Van Der Kelen : Inverse estimation of static flow resistivity in porous materials - discussion of the method and results for two tested porous materials Abstract
Presentation
S1_3 Fellah : Measuring low frequencies parameters of porous materials having a rigid frame Abstract
Presentation
S1_4 Heinkele : Porous material parameters identification from in situ acoustic measurements Abstract
Presentation
S1_5 Ouisse : Identification of characteristic parameters of auxetic foams Abstract
Presentation
S1_6 Cuenca : Inverse estimation of the elastic and anelastic properties of the porous frame of anisotropic open-cell foams Abstract
Presentation
S1_7 Shin: Laboratory experiments on the non-invasive estimation of soil wave speeds Abstract
Presentation
S1_8 Barbati: Through-thickness increasing density panels: suspended application in a vocal rehearsal room Abstract
Poster
S1_9 Benoit : Sensitivity analysis of two « equivalent fluid » models Abstract
Poster
S1_10 Dragonetti : Airflow resistivity measurement by using two different alternating airflow apparatus Abstract
Poster
S1_11 Fellah : Ultrasonic characterization of multilayered porous media Abstract
Poster
S1_12 Ouisse : Improving the efficiency of identification of mechanical and coupling parameters of porous materials by sensitivity analysis Abstract
Poster
S1_13 Sahraoui :Two-sample method for mechanical characterization of isotropic acoustic foams Abstract
Poster
S1_14 Tijs: Spatial variation of impedance and intensity measured close to a sample in the near field of a spherical sound source Abstract
Presentation
Poster
S1_15 Shrivastava : Ultrasonic Characterization of Nanofluids Abstract
Poster
S1_16 Shigapov: Permeability estimation based on elastic waveform inversion of microseismic data – A Feasibility Study Abstract
Poster