Literatura académica sobre el tema "Hierarchical composite"
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Artículos de revistas sobre el tema "Hierarchical composite"
Zhao, Long, Qing Zheng, Hualin Fan y Fengnian Jin. "Hierarchical composite honeycombs". Materials & Design 40 (septiembre de 2012): 124–29. http://dx.doi.org/10.1016/j.matdes.2012.03.009.
Texto completoDu, Jun, Yan Wang, Yan Wang y Ruifeng Li. "In Situ Recrystallization of Mesoporous Carbon–Silica Composite for the Synthesis of Hierarchically Porous Zeolites". Materials 13, n.º 7 (2 de abril de 2020): 1640. http://dx.doi.org/10.3390/ma13071640.
Texto completoChen, Yanliang, Man-Lai Tang y Maozai Tian. "Semiparametric Hierarchical Composite Quantile Regression". Communications in Statistics - Theory and Methods 44, n.º 5 (4 de marzo de 2015): 996–1012. http://dx.doi.org/10.1080/03610926.2012.755199.
Texto completoSchwieger, Wilhelm, Albert Gonche Machoke, Tobias Weissenberger, Amer Inayat, Thangaraj Selvam, Michael Klumpp y Alexandra Inayat. "Hierarchy concepts: classification and preparation strategies for zeolite containing materials with hierarchical porosity". Chemical Society Reviews 45, n.º 12 (2016): 3353–76. http://dx.doi.org/10.1039/c5cs00599j.
Texto completoCostagliola, Gianluca, Federico Bosia y Nicola M. Pugno. "Tuning friction with composite hierarchical surfaces". Tribology International 115 (noviembre de 2017): 261–67. http://dx.doi.org/10.1016/j.triboint.2017.05.012.
Texto completoSong, Yanhui, Susheng Zhou, Kaiyun Jin, Jian Qiao, Da Li, Chao Xu, Dongmei Hu et al. "Hierarchical carbon nanotube composite yarn muscles". Nanoscale 10, n.º 8 (2018): 4077–84. http://dx.doi.org/10.1039/c7nr08595h.
Texto completoCellary, W. y W. Wieczerzycki. "On hierarchical locking of composite objects". Microprocessing and Microprogramming 37, n.º 1-5 (enero de 1993): 127–30. http://dx.doi.org/10.1016/0165-6074(93)90031-f.
Texto completoLi, Jiying, Jiawei Long, Tianli Han, Xirong Lin, Bai Sun, Shuguang Zhu, Jinjin Li y Jinyun Liu. "A Hierarchical SnO2@Ni6MnO8 Composite for High-Capacity Lithium-Ion Batteries". Materials 15, n.º 24 (11 de diciembre de 2022): 8847. http://dx.doi.org/10.3390/ma15248847.
Texto completoWang, Xianzhi, Shubin Si, Yongbo Li y Xiaoqiang Du. "An integrated method based on refined composite multivariate hierarchical permutation entropy and random forest and its application in rotating machinery". Journal of Vibration and Control 26, n.º 3-4 (5 de noviembre de 2019): 146–60. http://dx.doi.org/10.1177/1077546319877711.
Texto completoZou, Ben-Xue, Yan Wang, Xiaodong Huang y Yanhua Lu. "Hierarchical N- and O-Doped Porous Carbon Composites for High-Performance Supercapacitors". Journal of Nanomaterials 2018 (27 de junio de 2018): 1–12. http://dx.doi.org/10.1155/2018/8945042.
Texto completoTesis sobre el tema "Hierarchical composite"
Malkin, Robert Edward. "Damage tolerant hierarchical composite structures". Thesis, University of Bristol, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557974.
Texto completoWeiland, Michèle. "Modelling hierarchical musical structures with composite probabilistic networks". Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/29418.
Texto completoMcKenzie, Holly S. "Particle encapsulation and modification to afford hierarchical composite materials". Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/67281/.
Texto completoKelly, Aoife. "Processing of bulk hierarchical metal-metal composites". Thesis, University of Oxford, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559831.
Texto completoHajlane, Abdelghani. "Development of hierarchical cellulosic reinforcement for polymer composites". Licentiate thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17655.
Texto completoGodkänd; 2014; 20140507 (abdhaj); Namn: Abdelghani Hajlane Ämne: Polymera konstruktionsmaterial/Polymeric Composite Materials Uppsats: Development of Hierarchical Cellulosic Reinforcement for Polymer Composites Examinator: Professor Roberts Joffe, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Diskutant: PhD, Research Engineer Angelika Bachinger, Swerea SICOMP, Mölndal, Sverige Tid: Torsdag den 12 juni 2014 kl 15.00 Plats: E231, Luleå tekniska universitet
Wicks, Sunny S. "Manufacturing and fracture of hierarchical composite materials enhanced with aligned carbon nanotubes". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90731.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 155-165).
Hierarchical advanced composite structures comprised of both nano- and micro-scale fibers are currently being studied as next-generation materials for multifunctional aerospace applications. Carbon nanotubes (CNTs) are an attractive reinforcing fiber for aerospace composites due to their scale and superior specific stiffness and strength, as well as their potential to enhance multifunctional properties. Nano-scale fibers can address current challenges in composites such as relatively weak through-thickness properties that occur due to matrix-rich regions, including those found at interlaminar ply interfaces, that are prone to delamination and lead to overall reductions in mechanical properties. Existing technologies such as stitching, z-pinning, and braiding provide through-thickness reinforcement; however, these improvements come with simultaneous reductions in in-plane properties. CNTs provide an alternative fiber reinforcement, though currently the literature reveals that laminate mechanical property enhancements are lower than expected. Investigations into how CNTs affect laminate properties have stalled due to difficulties with producing quality laminates and controlling CNT orientation and dispersion. In this work, manufacturing routes of a nano-engineered composite are developed to provide consistent control over laminate quality while placing aligned CNTs (A-CNTs) in the polymer matrix in the interlaminar and intralaminar regions. Manufacturing techniques are developed for growing aligned CNTs on a three-dimensional woven microfiber substrate and infiltrating the fuzzy fiber plies with polymer to realize the Fuzzy Fiber Reinforced Plastics (FFRP) architecture. These FFRP laminates show < 1% void fraction for a viscous marine epoxy system via hand lay-up and effectively void free (<< 1%) laminates for an aerospace epoxy system via infusion. The influence of the A-CNTs on manufacturability is quantified by assessing permeability and compressibility of the fuzzy fiber plies. Less than an order of magnitude decrease in permeability independent of CNT loading is observed (up to 3.6% volume fraction), demonstrating compatibility of the fuzzy fiber plies with both polymer matrices and both manufacturing routes. By contrast, fuzzy fiber ply compressibility increases linearly with CNT loading such that target composite volume fractions of - 50% mnicrofiber volume fraction can only be achieved with added external pressure in ranges typically available in composite production. The mechanisms of Mode I fracture toughness enhancement in FFRP laminates are elucidated experimentally by varying the type of epoxy and length of A-CNTs. Reinforcement effectiveness is found to vary from reduced initiation toughness to 100% increase in steady-state fracture toughness, depending upon the interlaminar fracture mechanisms. Toughness enhancement is less than expected based on idealized fiber pullout models, and is attributed to multiple and competing modes. Fractography reveals toughening mechanisms for both aerospace and marine epoxy laminates at several length scales, from the pull-out of A-CNTs to microfiber tow breakage. The toughening behavior and magnitude of steady-state toughness improvement is found to be highly dependent on the type of epoxy. In the more brittle aerospace epoxy system, modest improvement (~ 33%) in steady-state toughness with long (~ 19 microns) A-CNTs occurs because the cohesive interlaminar matrix failure mode around woven tow features is unchanged and toughening only occurs via increased fracture surface area through CNT pullout and rough epoxy fracture. The tougher marine epoxy allows much larger (up to 100%) steady-state toughness enhancement with A-CNTs by significantly adding instances of microfiber breakage and pullout along with CNT pullout from the epoxy. Varying the CNT length begins to reveal how the geometrical (re)arrangement of microfibers through tow swelling and changes in woven ply nesting affect the crack propagation path and subsequent interlaminar toughness. Fracture of A-CNT polymer nanocomposites isolates CNT-polymer effects from the microfibers and shows no increase in initiation toughness from the A-CNTs, but does confirm the role of CNTs in increasing fracture surface area post crack initiation, i.e., steady-state toughening. This work establishes the dependence of fracture toughness on A-CNT length and polymer type for the FFRP architecture. Future work includes quantifying the contribution of CNT pullout from the matrix on the laminate fracture behavior via modified standard tests for fracture initiation and toughness. Preliminary multifunctional investigations of the FFRP architecture indicate several other promising directions of future work, including damage sensing. Based on new understanding in this work on boh manufacturing and reinforcing mechanisms at work in FFRPs, mechanical and multifunctional enhancement of aerospace composites, particularly carbon fiber FFRP, are enabled.
by Sunny S. Wicks.
Ph. D.
Zikánová, Arlette, Pavel Hrabánek, Milan Kočiřík, Libor Brabec, Klára Juristová, Pavel Čapek, Bohumil Bernauer, Vladimír Hejtmánek, Olga Šolcová y Petr Uchytil. "Mass transport in the hierarchical porous structure of zeolite-based composite membranes". Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196794.
Texto completoZikánová, Arlette, Pavel Hrabánek, Milan Kočiřík, Libor Brabec, Klára Juristová, Pavel Čapek, Bohumil Bernauer, Vladimír Hejtmánek, Olga Šolcová y Petr Uchytil. "Mass transport in the hierarchical porous structure of zeolite-based composite membranes". Diffusion fundamentals 2 (2005) 111, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A14450.
Texto completoLi, Yuan. "Hierarchical Bayesian Model for AK Composite Estimators in the Current Population Survey (CPS)". Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10748002.
Texto completoThe Current Population Survey (CPS) is a multistage probability sample survey conducted by the U.S. Census Bureau and the Bureau of Labor Statistics (BLS). The 4-8-4 rotation design is applied to produce overlap in the sample across months. Several weighting steps are used to adjust the ultimate sample in each month to be representative of the population. In order to produce efficient estimates of labor force levels and month-to-month change, the so-called AK composite estimator combines current estimates from eight rotation panels and the previous month’s estimates to estimate current values. Values of coefficients A and K are chosen every decade or so for the nation. The Successive Difference Replicate (SDR) method and Balanced Repeated Replication (BRR) method are currently used by the CPS for estimating the variance of the AK Composite Estimates.
Instead of using constant CPS (A, K) values for AK Composite Estimator over time, one could find the monthly optimal coefficients ( A, K) that minimize the variance for measuring the monthly level of unemployment in the target population. The CPS (A, K) values are stable over time but can produce larger variance in some months, while the monthly optimal (A, K) values have lower variance within a month but high variability across months.
In order to make a compromise between the CPS (A, K) values and monthly optimal (A, K), a Hierarchical Bayesian method is proposed through modeling the obtained monthly optimal ( A, K)’s using a bivariate normal distribution. The parameters, including the mean vector and the variance-covariance matrix, are unknown in this distribution. In such case, a first step towards a more general model is to assume a conjugate prior distribution for the bivariate normal model. Computing the conditional posterior distribution can be approximated through simulation. In particular, it can be achieved by the Gibbs sampling algorithm with its sequential sampling. As the key to the success of this Hierarchical Bayesian method is that approximated distributions are improved as iteration goes on in the simulation, one needs to check the convergence of the simulated sequences. Then, the sample mean after a number of iterations in the simulation will serve as the Hierarchical Bayesian (HB) (A, K). The HB (A, K) estimates in effect produce a shrinkage between the CPS (A, K) values and the monthly optimal (A, K) values. The shrinkage of the estimates of the coefficients ( A, K) occurs by manipulating the certain hyperparameter in the model.
In this dissertation, detailed comparisons are made among the three estimators. The AK Estimator using the CPS (A, K) values, using the monthly optimal (A, K) values, and using the Hierarchical Bayesian (A,K) values are compared in terms of estimates produced, estimated variance, and estimated coefficients of variation. In each month of the data set, separate estimates using the three methods are produced.
In order to assess the performance of the proposed methods, a simulation study is implemented and summarized. In the CPS, eight rotating survey panels contribute to the overall estimate in each month. Each panel is measured in a month at one of its month-in- sample. The month-in- sample range from one to eight. In the simulation, month-in- sample values are generated as if replicate panels were available for estimation. These month-in-sample values are used as the original monthly panel estimates of unemployment to produce CPS-style (A, K) estimates, AK-estimates using monthly optimal ( A, K) values, and AK-estimates using Hierarchical Bayesian ( A, K) values. Performance of each method is evaluated on the simulated data by examining several criteria including bias, variance, and mean squared error.
Robbins, Donald H. "Hierarchical modeling of laminated composite plates using variable kinematic finite elements and mesh superposition". Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40117.
Texto completoLibros sobre el tema "Hierarchical composite"
Kim, Chang-Soo, Charles Randow y Tomoko Sano, eds. Hybrid and Hierarchical Composite Materials. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9.
Texto completoLi, Songtao, Zhengwang Zhu, Dongyan Liu y Yu Dong. Hierarchically Porous Bio-Carbon Based Composites for High Electromagnetic Shielding Performance. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1069-2.
Texto completoAbdulrahman, Kamardeen O., Alaaeddin M. H. Abed, AL-Oqla Faris M, Abiodun Bayode, Shubhankar Bhowmick, Sudip Dey, Ta Duy Hien et al. Hierarchical Composite Materials. Editado por Kaushik Kumar y J. Paulo Davim. De Gruyter, 2019. http://dx.doi.org/10.1515/9783110545104.
Texto completoKim, Chang-Soo, Charles Randow y Tomoko Sano. Hybrid and Hierarchical Composite Materials. Springer, 2015.
Buscar texto completoKim, Chang-Soo, Charles Randow y Tomoko Sano. Hybrid and Hierarchical Composite Materials. Springer, 2016.
Buscar texto completoRandow, Charles, Tomoko Sano y Changsoo Kim. Hybrid and Hierarchical Composites. Springer, 2015.
Buscar texto completoDavim, J. Paulo, Kaushik Kumar, Kamardeen O. Abdulrahman, Alaaeddin M. H. Abed y AL-Oqla Faris M. Hierarchical Composite Materials: Materials, Manufacturing, Engineering. de Gruyter GmbH, Walter, 2018.
Buscar texto completoDavim, J. Paulo, Kaushik Kumar, Kamardeen O. Abdulrahman, Alaaeddin M. H. Abed y AL-Oqla Faris M. Hierarchical Composite Materials: Materials, Manufacturing, Engineering. de Gruyter GmbH, Walter, 2018.
Buscar texto completoDavim, J. Paulo, Kaushik Kumar, Kamardeen O. Abdulrahman, Alaaeddin M. H. Abed y AL-Oqla Faris M. Hierarchical Composite Materials: Materials, Manufacturing, Engineering. de Gruyter GmbH, Walter, 2018.
Buscar texto completoHierarchical nonlinear behavior of hot composite structures. [Washington, DC: National Aeronautics and Space Administration, 1993.
Buscar texto completoCapítulos de libros sobre el tema "Hierarchical composite"
Zhao, Yu, Lele Peng y Guihua Yu. "Electrochemical Hierarchical Composites". En Hybrid and Hierarchical Composite Materials, 239–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_7.
Texto completoStudart, André R., Randall M. Erb y Rafael Libanori. "Bioinspired Hierarchical Composites". En Hybrid and Hierarchical Composite Materials, 287–318. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_8.
Texto completoKumar R, Manoj, Khelendra Agrawal y Debrupa Lahiri. "Medical Applications of Hierarchical Composites". En Hybrid and Hierarchical Composite Materials, 203–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_6.
Texto completoShofner, Meisha L. "Hierarchical Composites Containing Carbon Nanotubes". En Hybrid and Hierarchical Composite Materials, 319–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_9.
Texto completoYan, Yongke y Shashank Priya. "Multiferroic Magnetoelectric Composites/Hybrids". En Hybrid and Hierarchical Composite Materials, 95–160. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_4.
Texto completoSano, Tomoko, Charles L. Randow y Chang-Soo Kim. "Introduction". En Hybrid and Hierarchical Composite Materials, 1–7. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_1.
Texto completoKrasia-Christoforou, Theodora. "Organic–Inorganic Polymer Hybrids: Synthetic Strategies and Applications". En Hybrid and Hierarchical Composite Materials, 11–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_2.
Texto completoChakkalakal, Golda L., Subramanian Ramakrishnan y Michael R. Bockstaller. "Polymer-Tethered Nanoparticle Materials—An Emerging Platform for Multifunctional Hybrid Materials". En Hybrid and Hierarchical Composite Materials, 65–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_3.
Texto completoShunmugasamy, Vasanth Chakravarthy, Chongchen Xiang y Nikhil Gupta. "Clay/Polymer Nanocomposites: Processing, Properties, and Applications". En Hybrid and Hierarchical Composite Materials, 161–200. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_5.
Texto completoBaer, Eric, James J. Cassidy y Anne Hiltner. "Hierarchical Structure of Collagen Composite Systems". En Viscoelasticity of Biomaterials, 2–23. Washington, DC: American Chemical Society, 1992. http://dx.doi.org/10.1021/bk-1992-0489.ch001.
Texto completoActas de conferencias sobre el tema "Hierarchical composite"
Liu, Jason y Rong Rong. "Hierarchical Composite Synchronization". En 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (PADS). IEEE, 2012. http://dx.doi.org/10.1109/pads.2012.20.
Texto completoManjunathaiah, M. "Hierarchical Composite Regular Parallel Architecture". En 2009 Eighth International Symposium on Parallel and Distributed Computing (ISPDC). IEEE, 2009. http://dx.doi.org/10.1109/ispdc.2009.41.
Texto completoUribe, Braian E. B., Alessandra C. Soares-Pozzi y José R. Tarpani. "NANOCELLULOSE-COATED CARBON FIBERS TOWARDS DEVELOPING HIERARCHICAL POLYMER MATRIX COMPOSITES". En Brazilian Conference on Composite Materials. Pontifícia Universidade Católica do Rio de Janeiro, 2018. http://dx.doi.org/10.21452/bccm4.2018.13.09.
Texto completoAppel, Esther. "Dragonfly wings: A complex hierarchical composite system". En 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.93366.
Texto completoWolff, Benjamin, Tomer Gafni, Guy Revach, Nir Shlezinger y Kobi Cohen. "Composite Anomaly Detection via Hierarchical Dynamic Search". En 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834631.
Texto completoMatthews, Jordan, Timothy Klatt, Carolyn C. Seepersad, Michael Haberman y David Shahan. "Hierarchical Design of Composite Materials With Negative Stiffness Inclusions Using a Bayesian Network Classifier". En ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13128.
Texto completoVyshegorodtseva, E. V., P. A. Matskan y G. V. Mamontov. "Formation of hierarchical MIL-100(Fe)diatomite composite". En INTERNATIONAL CONFERENCE ON PHYSICS AND CHEMISTRY OF COMBUSTION AND PROCESSES IN EXTREME ENVIRONMENTS (COMPHYSCHEM’20-21) and VI INTERNATIONAL SUMMER SCHOOL “MODERN QUANTUM CHEMISTRY METHODS IN APPLICATIONS”. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0032906.
Texto completoRobbins, Donald, J. N. Reddy y Farzad Rostam-Abadi. "Towards Hierarchical Modeling of Damage in Composite Structures". En 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-1596.
Texto completoLaivins, Josiah y Minwoo Lee. "Automatic Composite Action Discovery for Hierarchical Reinforcement Learning". En 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019. http://dx.doi.org/10.1109/ssci44817.2019.9003053.
Texto completoPapula, Dashiell, Zoubeida Ounaies, Paris von Lockette, Denise Widdowson, Anil Erol y Abdulla Masud. "Characterization and Quantification of Hierarchical Particle Microstructures in External Field-Processed Composites". En ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/smasis2021-68127.
Texto completoInformes sobre el tema "Hierarchical composite"
Taya, Minoru, Masahiro Kusaka y Suhasini Gururaja. Hierarchical Modeling of Ferromagnetic SMAs and Composites. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada443837.
Texto completoTaya, Minoru, Masahiro Kusaka y Suhasini Gururaja. Hierarchical Modeling of Ferromagnetic SMAs and Composites. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada448165.
Texto completoKotov, Nicholas A. Engineering of High-Toughness Carbon Nanotubes Hierarchically Laminated Composites. Fort Belvoir, VA: Defense Technical Information Center, enero de 2012. http://dx.doi.org/10.21236/ada564047.
Texto completoKalidindi, Surya R. y Ulrike G. Wegst. Use of Spherical Nanoindentation to Characterize the Anisotropic Properties of Microscale Constituents and Interfaces in Hierarchically Structured Composite Materials. Fort Belvoir, VA: Defense Technical Information Center, enero de 2015. http://dx.doi.org/10.21236/ad1006778.
Texto completoPatel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/41042.
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