Academic literature on the topic 'Fiber bundle model'
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Journal articles on the topic "Fiber bundle model"
PRADHAN, SRUTARSHI, and BIKAS K. CHAKRABARTI. "FAILURE PROPERTIES OF FIBER BUNDLE MODELS." International Journal of Modern Physics B 17, no. 29 (November 20, 2003): 5565–81. http://dx.doi.org/10.1142/s0217979203023264.
Full textIshikawa, Tatsuya, KyoungHou Kim, and Yutaka Ohkoshi. "Visualization of a pillar-shaped fiber bundle in a model needle-punched nonwoven fabric using X-ray micro-computed tomography." Textile Research Journal 87, no. 11 (August 2, 2016): 1387–93. http://dx.doi.org/10.1177/0040517516652351.
Full textLi, Jiang Hua, Guang Feng Chen, Qing Qing Huang, and Xin Wei. "Three-Dimensional Yarns Modeling for Tufted Carpet Simulation." Advanced Materials Research 989-994 (July 2014): 1700–1703. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1700.
Full textYeo, A., and A. G. Fane. "Performance of individual fibers in a submerged hollow fiber bundle." Water Science and Technology 51, no. 6-7 (March 1, 2005): 165–72. http://dx.doi.org/10.2166/wst.2005.0635.
Full textLi, Lei, Li Chen, and Jin Chao Li. "Numerical Generation Technology for Three-Dimensional Structure of High-Performance Fiber Bundle." Advanced Materials Research 332-334 (September 2011): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.1024.
Full textBoufass, Siham, Ahmed Hader, Mohammed Tanasehte, Hicham Sbiaai, Imad Achik, and Yahia Boughaleb. "Modelling of composite materials energy by fiber bundle model." European Physical Journal Applied Physics 92, no. 1 (October 2020): 10401. http://dx.doi.org/10.1051/epjap/2020200179.
Full textRoy, Subhadeep, and Sanchari Goswami. "Fiber Bundle Model Under Heterogeneous Loading." Journal of Statistical Physics 170, no. 6 (February 7, 2018): 1197–214. http://dx.doi.org/10.1007/s10955-018-1966-4.
Full textMattsson, H. David, and Janis Varna. "Average Strain in Fiber Bundles and Its Effect on NCF Composite Stiffness." Journal of Engineering Materials and Technology 129, no. 2 (June 27, 2006): 211–19. http://dx.doi.org/10.1115/1.2400266.
Full textYan, Shi Lin, Hang Lu, Hua Tan, and Zhong Qi Qiu. "Microscopic Analysis of Flow and Prediction of Effective Permeability for Dual-Scale Porous Fiber Fabrics." Advanced Materials Research 97-101 (March 2010): 1776–81. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.1776.
Full textZheng, Guan-Yu. "Numerical Investigation of Characteristic of Anisotropic Thermal Conductivity of Natural Fiber Bundle with Numbered Lumens." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/506818.
Full textDissertations / Theses on the topic "Fiber bundle model"
Benger, Werner. "Visualization of general relativistic tensor fields via a fiber bundle data model /." Berlin : Lehmanns Media-LOB.de, 2005. http://deposit.ddb.de/cgi-bin/dokserv?id=2669729&prov=M&dok_var=1&dok_ext=htm.
Full textNguyen, Minh Tuan. "Contribution à l'optimisation des processus de filature des fibres libériennes." Mulhouse, 1996. http://www.theses.fr/1996MULH0440.
Full textStamile, Claudio. "Unsupervised Models for White Matter Fiber-Bundles Analysis in Multiple Sclerosis." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1147/document.
Full textDiffusion Magnetic Resonance Imaging (dMRI) is a meaningful technique for white matter (WM) fiber-tracking and microstructural characterization of axonal/neuronal integrity and connectivity. By measuring water molecules motion in the three directions of space, numerous parametric maps can be reconstructed. Among these, fractional anisotropy (FA), mean diffusivity (MD), and axial (λa) and radial (λr) diffusivities have extensively been used to investigate brain diseases. Overall, these findings demonstrated that WM and grey matter (GM) tissues are subjected to numerous microstructural alterations in multiple sclerosis (MS). However, it remains unclear whether these tissue alterations result from global processes, such as inflammatory cascades and/or neurodegenerative mechanisms, or local inflammatory and/or demyelinating lesions. Furthermore, these pathological events may occur along afferent or efferent WM fiber pathways, leading to antero- or retrograde degeneration. Thus, for a better understanding of MS pathological processes like its spatial and temporal progression, an accurate and sensitive characterization of WM fibers along their pathways is needed. By merging the spatial information of fiber tracking with the diffusion metrics derived obtained from longitudinal acquisitions, WM fiber-bundles could be modeled and analyzed along their profile. Such signal analysis of WM fibers can be performed by several methods providing either semi- or fully unsupervised solutions. In the first part of this work, we will give an overview of the studies already present in literature and we will focus our analysis on studies showing the interest of dMRI for WM characterization in MS. In the second part, we will introduce two new string-based methods, one semi-supervised and one unsupervised, to extract specific WM fiber-bundles. We will show how these algorithms allow to improve extraction of specific fiber-bundles compared to the approaches already present in literature. Moreover, in the second chapter, we will show an extension of the proposed method by coupling the string-based formalism with the spatial information of the fiber-tracks. In the third, and last part, we will describe, in order of complexity, three different fully automated algorithms to perform analysis of longitudinal changes visible along WM fiber-bundles in MS patients. These methods are based on Gaussian mixture model, nonnegative matrix and tensor factorisation respectively. Moreover, in order to validate our methods, we introduce a new model to simulate real longitudinal changes based on a generalised Gaussian probability density function. For those algorithms high levels of performances were obtained for the detection of small longitudinal changes along the WM fiber-bundles in MS patients. In conclusion, we propose, in this work, a new set of unsupervised algorithms to perform a sensitivity analysis of WM fiber bundle that would be useful for the characterisation of pathological alterations occurring in MS patients
Villette, François. "Endommagement de milieux hétérogènes : Le papier en tant que matériau modèle." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALI062.
Full textThe understanding, modeling and prediction of failure in heterogeneous materials are important issues for many applications such as the resistance of civil engineering structures or rock detachments for example. Currently, damage models involve an internal length that is not yet explicitly related to the characteristic lengths of the material. The objective of this work is to study the influence of material heterogeneities on cracking processes using paper as a model material. Indeed, this material has the property to reveal its structure (fibers and fiber aggregates) by optical transmission and thus allows following the evolution of the damage during the rupture at lower costs. In a first step, the local structural and mechanical properties of the fiber aggregates were obtained from images acquired by X-ray tomography and tensile tests. Filmed tensile tests were then used to visualize the development of the fracture process zone and to relate its dimensions to the post-peak behaviour of the tensile curve. On the basis of this analysis, a novel method of calibration of the internal length was proposed on a non-local continuous damage model. The role of the different characteristic lengths of the material was highlighted by these results which were complemented by a study of the crack propagation statistics in a heterogeneous material using a Fiber Bundle Model that we have extended to spatially correlated random fields of rupture
Mazzetti, Caterina. "A mathematical model of the motor cortex." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/15002/.
Full textChudoba, Rostislav, Martin Konrad, Markus Schleser, Konstantin Meskouris, and Uwe Reisgen. "Parametric study of tensile response of TRC specimens reinforced with epoxy-penetrated multi-filament yarns." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1244043793029-57511.
Full textSun, Hao-Chun, and 孫浩淳. "Web-based Slope Stability Analysis with Fiber Bundle Model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/77t38r.
Full text國立臺北科技大學
土木與防災研究所
98
In recent years, planting vegetation is gradually becoming a widely used technique for slope protection. A vascular plant cover can protect slopes from rainfall erosion and decrease the possibility of landslides.The mechanical method by Wu et al. (1979) is the most frequently used analysis method for the impact of plant roots on the stability of slopes. However, it assumed that plant roots would be destroyed at the same time by landslides which does not reflect the actual situation. Another method was by Pollen and Simon (2004) which used the Fiber Bundle Model theory to model the damage of plant roots based on the damage of materials. In this study, the Slope Stability Analysis Program by Lin (2009) was improved with the FBM function which allows it to analyze the vegetated slope stability with two calculations methods to choose from. The comparison result shows that the factors of safety generated by FBM are lower than those by Wu. Besides, the original PC-based Slope Stability Analysis Program has been rewritten to produce an web-based program with the capability of connecting servers from browsers to initiate the program without installation. It not only enhances the analysis efficiency but also creates links between the analysis program and the searching system of plant root database for further studies in the civil engineering field.
Cheadle, Michael. "A predictive thermal model of heat transfer in a fiber optic bundle for a hybrid solar lighting system." 2005. http://catalog.hathitrust.org/api/volumes/oclc/64448095.html.
Full textTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 109-111).
Denniss, Jonathan, A. Turpin, F. Tanabe, C. Matsumoto, and A. M. McKendrick. "Structure–Function Mapping: Variability and Conviction in Tracing Retinal Nerve Fiber Bundles and Comparison to a Computational Model." 2014. http://hdl.handle.net/10454/11088.
Full textPurpose: We evaluated variability and conviction in tracing paths of retinal nerve fiber bundles (RNFBs) in retinal images, and compared traced paths to a computational model that produces anatomically-customized structure–function maps. Methods: Ten retinal images were overlaid with 24-2 visual field locations. Eight clinicians and 6 naïve observers traced RNFBs from each location to the optic nerve head (ONH), recording their best estimate and certain range of insertion. Three clinicians and 2 naïve observers traced RNFBs in 3 images, 3 times, 7 to 19 days apart. The model predicted 10° ONH sectors relating to each location. Variability and repeatability in best estimates, certain range width, and differences between best estimates and model-predictions were evaluated. Results: Median between-observer variability in best estimates was 27° (interquartile range [IQR] 20°–38°) for clinicians and 33° (IQR 22°–50°) for naïve observers. Median certain range width was 30° (IQR 14°–45°) for clinicians and 75° (IQR 45°–180°) for naïve observers. Median repeatability was 10° (IQR 5°–20°) for clinicians and 15° (IQR 10°–29°) for naïve observers. All measures were worse further from the ONH. Systematic differences between model predictions and best estimates were negligible; median absolute differences were 17° (IQR 9°–30°) for clinicians and 20° (IQR 10°–36°) for naïve observers. Larger departures from the model coincided with greater variability in tracing. Conclusions: Concordance between the model and RNFB tracing was good, and greatest where tracing variability was lowest. When RNFB tracing is used for structure–function mapping, variability should be considered.
Books on the topic "Fiber bundle model"
Hansen, Alex, Per C. Hemmer, and Srutarshi Pradhan, eds. The Fiber Bundle Model. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527671960.
Full textHansen, Alex, Per Christian Hemmer, and Srutarshi Pradhan. Fiber Bundle Model: Modeling Failure in Materials. Wiley-VCH Verlag GmbH, 2015.
Find full textIlinski, Kirill. Physics of Finance: Gauge Modelling in Non-Equilibrium Pricing. Wiley & Sons, Incorporated, John, 2007.
Find full textBook chapters on the topic "Fiber bundle model"
Flynn, Cormac, and M. B. Rubin. "Undesirable Anisotropy in a Discrete Fiber Bundle Model of Fibrous Tissues." In Structure-Based Mechanics of Tissues and Organs, 329–45. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7630-7_16.
Full textEl Kouby, V., Y. Cointepas, C. Poupon, D. Rivière, N. Golestani, J. B. Poline, D. Le Bihan, and J. F. Mangin. "MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects." In Lecture Notes in Computer Science, 196–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11566465_25.
Full textKun, F., F. Raischel, R. C. Hidalgo, and H. J. Herrmann. "Extensions of Fibre Bundle Models." In Modelling Critical and Catastrophic Phenomena in Geoscience, 57–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-35375-5_3.
Full textHemmer, P. C., A. Hansen, and S. Pradhan. "Rupture Processes in Fibre Bundle Models." In Modelling Critical and Catastrophic Phenomena in Geoscience, 27–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-35375-5_2.
Full textMulthoff, Jörg B. "Towards Fiber Bundle Models for Composite Pressure Vessels." In Design and Analysis of Reinforced Fiber Composites, 49–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20007-1_4.
Full textChirikjian, Gregory S. "Locomotion and Perception as Communication over Principal Fiber Bundles." In Stochastic Models, Information Theory, and Lie Groups, Volume 2, 389–409. Boston: Birkhäuser Boston, 2011. http://dx.doi.org/10.1007/978-0-8176-4944-9_12.
Full textDurrleman, Stanley, Pierre Fillard, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. "A Statistical Model of White Matter Fiber Bundles Based on Currents." In Lecture Notes in Computer Science, 114–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02498-6_10.
Full textStamile, Claudio, Francesco Cauteruccio, Giorgio Terracina, Domenico Ursino, Gabriel Kocevar, and Dominique Sappey-Marinier. "A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction." In Brain Informatics and Health, 135–44. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23344-4_14.
Full textCauteruccio, Francesco, Claudio Stamile, Giorgio Terracina, Domenico Ursino, and Dominique Sappey-Marinier. "Integrating QuickBundles into a Model-Guided Approach for Extracting “Anatomically-Coherent” and “Symmetry-Aware” White Matter Fiber-Bundles." In Multidisciplinary Approaches to Neural Computing, 39–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56904-8_4.
Full text"The Fiber Bundle Model." In The Fiber Bundle Model, 1–10. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527671960.ch1.
Full textConference papers on the topic "Fiber bundle model"
Lahyani, A., Y. Boughaleb, M. Qjani, and R. Nassif. "Creep rupture in fiber bundle model." In 2008 2nd ICTON Mediterranean Winter (ICTON-MW). IEEE, 2008. http://dx.doi.org/10.1109/ictonmw.2008.4773060.
Full textSon, Seyul, Yanli Wang, and N. C. Goulbourne. "A Structure Based Constitutive Model for Bat Wing Skins, A Soft Biological Tissue." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40924.
Full textAhmed, J., C. Cavdar, P. Monti, and L. Wosinska. "An Optimal Model for LSP Bundle Provisioning in PCE-based WDM Networks." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/ofc.2011.othi6.
Full textHudson Borja da Rocha and Lev Truskinovsky. "Brittle to ductile transition in democratic fiber bundle model." In 23rd ABCM International Congress of Mechanical Engineering. Rio de Janeiro, Brazil: ABCM Brazilian Society of Mechanical Sciences and Engineering, 2015. http://dx.doi.org/10.20906/cps/cob-2015-0571.
Full textTenorio, Max, and Assimina A. Pelegri. "Interfacial Debonding of Glass Single Fiber Composites Using the Johnson-Cook Failure Model." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-66873.
Full textShahinpoor, Mohsen, Martin W. J. Burmeister, and Wesley Hoffman. "Design, Modeling and Fabrication of Micro-Robotic Actuators With Ionic Polymeric Gel and SMA Micro-Muscles." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0626.
Full textSudhir, Aswathi, and Ramesh Talreja. "The Effect of Fiber Clusters and Voids on the Coalescence of Debonds in Polymer Matrix Composites." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72349.
Full textTenorio, Max C., and Assimina A. Pelegri. "Computational-Experimental Investigation of Progressive Damage Using Johnson-Cook and Cohesive Zone Models in Fiberglass Composites." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71615.
Full textCheadle, Michael J., Gregory F. Nellis, Sanford A. Klein, and William A. Beckman. "A Thermal Model of a Fiber Optic Bundle for a Hybrid Solar Lighting System." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80009.
Full textWang, Rongqiao, Long Zhang, Dianyin Hu, Xiuli Shen, and Jun Song. "Mesoscopic Modeling of 3D Four-Directional Braided Composites." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56280.
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