Laboratoire de mécanique des solides

Publications

2018

  • An interface model for homogenization of acoustic materials
    • Marigo Jean-Jacques
    • Maurel Agnes
    , 2018, 2, pp.Chapter 14, pp. 599-645. Acoustic metamaterials consisting in massive materials perforated by periodic subwavelength holes or more sparse structures involving periodic arrangement of wires have been shown to be able to control the wave propagation with high flexibility. In comparison, phononic crystals have a priori higher dimensions because of their wavelength-scale period. However, if the metamaterial has subwavelength period, many of the observed phenomena are attributable to Fabry-Perot type resonances, resonances in the hole or resonances of the wires. Therefore, these structures have a limitation in their thickness, which has to be at wavelength scale to produce such resonances (and thickness refers to the size in the direction perpendicular to the plane containing the periodic cells). In order to reduce the size of the devices, structures with subwavelength thickness have been developed. They are known as metasurfaces and metafilms. Despite the vanishing thickness in comparison to the incident wavelength, the capability of these ultrathin devices to control the wave propagation has been evidenced. This is because they are based on a resonance which is not related to their thickness. It can be a thin elastic membrane within the unit cell, or resonances of labyrinthine or curled elements squeezed in the unit cell. (10.1142/9789813228702_0014)
    DOI : 10.1142/9789813228702_0014
  • Crack nucleation in variational phase-field models of brittle fracture
    • Tanné E.
    • Li T.
    • Bourdin B.
    • Marigo J.-J.
    • Maurini C.
    Journal of the Mechanics and Physics of Solids, Elsevier, 2018, 110, pp.80 - 99. Phase-field models, sometimes refered to as gradient damage or smeared crack models, are widely used methods for the numerical simulation of crack propagation in brittle materials. Theoretical results and numerical evidences show that they can predict the propagation of a pre-existing crack according to Grith' criterion. For a one-dimensional problem, it has been shown that they can predict nucleation upon a critical stress, provided that regularization parameter be identified with the material's internal or characteristic length. In this article, we draw on numerical simulations to study crack nucleation in commonly encountered geometries for which closed-form solutions are not available. We use U-and V-notches to show that the nucleation load varies smoothly from that predicted by a strength criterion to that of a toughness criterion, when the strength of the stress concentration or singularity varies. We present validation and verifications numerical simulations for both types of geometries. We consider the problem of an elliptic cavity in an infinite or elongated domain to show that variational phase field models properly account for structural and material size e↵ects. We conclude that variational phase-field models can accurately predict crack nucleation through energy minimization in a nonlinear damage model instead of introducing ad-hoc criteria. (10.1016/j.jmps.2017.09.006)
    DOI : 10.1016/j.jmps.2017.09.006
  • Nusinersen versus Sham Control in Later-Onset Spinal Muscular Atrophy
    • Vogt Sibylle
    • Krueger Marcus
    • Pechmann Astrid
    • Rippberger Bianca
    • Eckenweiler Matthias
    • Schara Ulrike
    • Koelbel Heike
    • Andres Barbara
    • Rupprich Katrin
    • Gangfuss Andrea
    • Jachertz Philipp
    • Della Marina Adela
    • Sponemann Nina
    • Pane Markia
    • Palermo Concetta
    • Piastra Marco
    • Fanelli Lavinia
    • de Sanctis Roberto
    • Genovese Orazio
    • Antonaci Laura
    • Pera Maria Carmela
    • Lamendola Priscilla
    • Messina Sonia
    • Vita Gianluca
    • Di Bella Vincenzo
    • Sframeli Maria
    • Rosa Matteo La
    • Barcellona Costanza
    • Distefano Maria Grazia
    • Cavallaro Filippo
    • Versaci Antonio
    • de Luca Francesco
    • Vita Giuseppe
    • Nacimento Osorio Andres
    • Tizzano Eduardo
    • Ortez Gonzalez Carlos Ignacio
    • Ortigoza Escobar Juan Dario
    • Colomer Oferil Juame
    • Medina Cantillo Julita
    • Febrer Rotger Anna
    • Vigo Morancho Meritxell
    • Eldblom Johanneh
    • Darin Niklas
    • Kroksmark Anna Karin
    • Lindstedt Asa
    • Michael Eva
    • Kimber Eva
    • Wahlgren Lisa
    • Chan Sophelia Hoi-Shan
    • Chim Stella
    • Chiu Joseph
    • Ho Alvin Chi Chung
    • Ip Jing Kun Janice
    • Lam Wendy Wai Man
    • Ng Maggie Chui-San
    • Wan Connie
    • Wong Virginia Chun Nei
    • Yue Yvonne
    • Arakawa Reiko
    • Yamauchi Akemi
    • Nagata Satoru
    • Ito Yasushi
    • Nakatsukasa Hidetsugu
    • Takeshita Akiko
    • Hirasawa Kyoko
    • Ikai Tetsuo
    • Eto Kaoru
    • Otamni Yui
    • Takeshima Yasuhiro
    • Fukuda Noroki
    • Tanaka Yasuhiro
    • Shimomura Hideki
    • Lee Tomoko
    • Shibano Takayuki
    • Mercuri Eugenio
    • Tachikawa Tomohiro
    • Darras Basile T
    • Chae Jong-Hee
    • Chiriboga Claudia A
    • Lim Byung Chan
    • Day John W
    • Shin Hyung-Ik
    • Campbell Craig
    • Kim Soo Yeon
    • Connolly Anne M
    • Choi Sun Ah
    • Iannaccone Susan T
    • Son Woo Sung
    • Kirschner Janbernd
    • Jo Hyemi
    • Chun Seong Min
    • Saito K.
    • Kim Hyuna
    • Shieh Perry B
    • Tulinius Már
    • Mazzone Elena Stacy
    • Bishop Kathie M
    • Yang Qingqing
    • Foster Richard
    • Gheuens Sarah
    • Bennett C. Franck
    • Farwell Wildon
    • Schneider Eugene
    • Finkel Richard S
    • Bradley Walter G.
    • Kaufmann Petra
    • Dickson Patricia I.
    • Reingold Stephen C.
    • Davis Charles S.
    • Arredondo Kristen
    • Castro Diana
    • Cowie Margaret
    • Farrow-Gillespie Alan
    • Hebert Andrew
    • Kauk Melissa
    • Miller Nancy
    • Nelson Leslie
    • Spain Thomas
    • Cappell Joshua
    • Constantinescu Andrei
    • Cruz Rosangel
    • Dastgir Jahannaz
    • de Vivo Darryl
    • Dunaway Sally
    • Engelstad Kristin
    • Khandji Alexander G.
    • Kramer Samantha
    • Marra Jonathan
    • Popolizio Molly
    • Salazar Rachel
    • Weimer Louis H.
    • Aziz-Zaman Sonya
    • Lamarca Nicole
    • Ghosh Partha
    • Al-Ghamdi Fouad
    • Liew Wendy
    • Graham Robert
    • Berde Charles
    • Sethna Navil
    • Koka Anjali
    • Wang Luke
    • Laine Regina
    • Souris Michelle
    • Ordonez Grace
    • Harrington Timothy
    • Szelag Heather
    • Pasternak Amy
    • Mirek Elizabeth
    • Quigley Janet
    • Berry Debbie
    • Civitello Matthew
    • Endsley Julie Duke
    • Eden Candace
    • Leon Wendy
    • O'Reardon Kathleen
    • Sigurdardottir Laufey
    • Johnson Craig
    • Turner Jenna
    • Vega Melisa
    • Weber-Guzman Fabiola
    • Zinn Matthias
    • Rocha Ana Carolina Tesi
    • Watson Karolina
    • d'Souza Genevieve
    • Ramamurthi R. J.
    • Gee Richard
    • Kitsuwa-Lowe Janis
    • Hagerman Katharine
    • Crasta Sheela
    • Welsh Lesly
    • Paulose Shirley
    • Mcfall Danielle
    • Perez Jennifer
    • Patnaik Swetapadma
    • Sanjanwala Bharati
    • Sakamuri Sarada
    • Proud Crystal
    • Purse Bona Park
    • Duong Trinh Tina
    • Sampson Jacinda
    • Tennekoon Gihan
    • Brandsema John
    • Glanzman Allan
    • Flickinger Jean
    • Toms Michele
    • Adang Laura
    • Stanford Delores
    • Mayer Oscar
    • Zigmont Joshua
    • Chadehumbe Madeline
    • Kichula Elizabeth
    • Finanger Erika
    • Russman Barry
    • Roberts Colin
    • Frank Andrea
    • Benjamin Danielle
    • Zilke Kirsten
    • Golumbek Paul T
    • Zaidman Craig M.
    • Anand Pallavi
    • Gadeken Rebecca
    • Siener Catherine
    • Kuntz Nancy
    • Epstein Leon
    • Krueger Jena
    • Goldman Stewart
    • Krosschell Kristin
    • Blomgren Colleen
    • Choi Hyoung Won
    • Kurz Jonathan
    • Parsons Julie
    • Janas Joanne
    • Yang Michele
    • Ballard Alison
    • Carry Terri
    • Shea Stephanie
    • Bielsky Alan
    • Booker Kaylee
    • Camuto Alicia
    • Lord-Halvorson Sierra
    • Gibbons Melissa
    • Zimmerman Carl
    • Allen Victoria
    • Fuhr Peter
    • Johnson Hannah
    • Tran Vi
    • Vanderveen Gina
    • Shieh Perry
    • Fowler Eileen
    • Parziale Nicholas
    • Rao Lekha
    • Skura Christy
    • Kelley Carolyn
    • Shu Francy
    • Oskoui Maryam
    • Zielinski David
    • Poulin Chantal
    • Ingelmo Pablo Mauricio
    • Desilets Sarah Turgeon
    • Dinunzio Pamela
    • Rivera Gonzalo
    • Srour Myriam
    • Arpin Stephanie
    • Goobie Sharan
    • Gibson Paul
    • Scholtes Cheryl
    • Mcdonald Wendy
    • Zapata Eugenio
    • Nguyen Cam-Tu Emilie
    • Servais Laurent
    • Gargaun Elena
    • Le Moing Anne-Gaelle
    • Gidaro Teresa
    • Vialle Raphael
    • Guye Marie-Laurence
    • Lilien Charlotte
    • Olliver Gwenn
    • Gilabert Stephanie
    • Borell Sabine
    • Wider Sabine
    • Stein Sabine
    • Montes Jacqueline
    New England Journal of Medicine, Massachusetts Medical Society, 2018, 378 (7), pp.625-635. BACKGROUND Nusinersen is an antisense oligonucleotide drug that modulates pre-messenger RNA splicing of the survival motor neuron 2 (SMN2) gene. It has been developed for the treatment of spinal muscular atrophy (SMA). METHODS We conducted a multicenter, double-blind, sham-controlled, phase 3 trial of nusinersen in 126 children with SMA who had symptom onset after 6 months of age. The children were randomly assigned, in a 2: 1 ratio, to undergo intrathecal administration of nusinersen at a dose of 12 mg (nusinersen group) or a sham procedure (control group) on days 1, 29, 85, and 274. The primary end point was the least-squares mean change from baseline in the Hammersmith Functional Motor Scale-Expanded (HFMSE) score at 15 months of treatment; HFMSE scores range from 0 to 66, with higher scores indicating better motor function. Secondary end points included the percentage of children with a clinically meaningful increase from baseline in the HFMSE score (>= 3 points), an outcome that indicates improvement in at least two motor skills. RESULTS In the prespecified interim analysis, there was a least-squares mean increase from baseline to month 15 in the HFMSE score in the nusinersen group (by 4.0 points) and a least-squares mean decrease in the control group (by -1.9 points), with a significant between-group difference favoring nusinersen (least-squares mean difference in change, 5.9 points; 95% confidence interval, 3.7 to 8.1; P< 0.001). This result prompted early termination of the trial. Results of the final analysis were consistent with results of the interim analysis. In the final analysis, 57% of the children in the nusinersen group as compared with 26% in the control group had an increase from baseline to month 15 in the HFMSE score of at least 3 points (P< 0.001), and the overall incidence of adverse events was similar in the nusinersen group and the control group (93% and 100%, respectively). CONCLUSIONS Among children with later-onset SMA, those who received nusinersen had significant and clinically meaningful improvement in motor function as compared with those in the control group. (Funded by Biogen and Ionis Pharmaceuticals; CHERISH ClinicalTrials. gov number, NCT02292537.) (10.1056/NEJMoa1710504)
    DOI : 10.1056/NEJMoa1710504
  • High-Resolution Wavenumber Analysis (HRWA) for the mechanical characterization of viscoelastic beams
    • Margerit Pierre
    • Lebée Arthur
    • Caron Jean-François
    • Boutillon Xavier
    Journal of Sound and Vibration, Elsevier, 2018, 443, pp.198-211. The High-Resolution Wavenumber Analysis (HRWA) is presented. It identifies complex wavenumbers and amplitudes of waves composing the harmonic response of a beam. Based on the frequency dependence of these wavenumbers, experimental dispersion equations of various beam mechanisms (e.g bending, torsion) can be retrieved. The HRWA method is compared to the Mc Daniel and the Inverse Wave Correlation (IWC) methods. It overcomes some drawbacks of these methods: the wavenumber resolution is enhanced. Also, the wavenumber search problem is expressed as a linear problem, making the method computationally efficient. A number of wavenumbers can be identified automatically, thanks to a statistical criterion. First, the noise sensitivity of each method is investigated in the basis of synthesised measurements. For this criterion, the HRWA and Mc Daniel method performances are close and much better than IWC. Moreover, the HRWA is five to twenty times faster to compute than other methods, depending on the mesh size. Second, an experimental case is presented where bending and torsion waves are identified, yielding an apparent viscoelastic Young and shear moduli on a wide-frequency range. (10.1016/j.jsv.2018.06.062)
    DOI : 10.1016/j.jsv.2018.06.062
  • Novel three-dimensional carbon nanotube networks as high performance thermal interface materials
    • Kong Qinyu
    • Bodelot Laurence
    • Lebental Bérengère
    • Lim Yu Dian
    • Shiau Li Lynn
    • Gusarov Boris
    • Tan Chong Wei
    • Liang Kun
    • Lu Congxiang
    • Tan Chuan Seng
    • Coquet Philippe
    • Tay Beng Kang
    Carbon, Elsevier, 2018, 132, pp.359-369. Vertically aligned carbon nanotube (VACNT) arrays are considered as promising thermal interface materials (TIMs) due to their superior out-of-plane thermal conductivities. However the air gaps between adjacent CNTs within the CNT array hinder the in-plane heat transfer, thus significantly degrading the thermal performance of VACNT-based TIMs. To improve the in-plane thermal conduction of VACNT arrays, we propose a novel three dimensional CNT (3D CNT) network structure, where VACNTs are cross-linked by randomly-oriented secondary CNTs. Three different catalyst preparation methods for the secondary CNT growth are compared in terms of their ability to produce a dense network of secondary CNTs. The 3D CNT network grown using the chemical impregnation method shows a denser network structure, and thus is chosen for further thermal characterization. The temperature fields of the corresponding 3D CNT network under different heating powers are recorded using a 15 Œm-resolution infrared thermal imaging system. The in-plane thermal conductivity is then derived from these fields using numerical fitting with a 3D heat diffusion model. We find that the in-plane thermal conductivity of the 3D CNT network is 5.40 ± 0.92 W/mK, at least 30 times higher than the thermal conductivity of the primary VACNT array used to grow the 3D CNT network. (10.1016/j.carbon.2018.02.052)
    DOI : 10.1016/j.carbon.2018.02.052