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Добірка наукової літератури з теми "Hierarchical composite"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Hierarchical composite"

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Zhao, Long, Qing Zheng, Hualin Fan, and Fengnian Jin. "Hierarchical composite honeycombs." Materials & Design 40 (September 2012): 124–29. http://dx.doi.org/10.1016/j.matdes.2012.03.009.

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2

Du, Jun, Yan Wang, Yan Wang, and Ruifeng Li. "In Situ Recrystallization of Mesoporous Carbon–Silica Composite for the Synthesis of Hierarchically Porous Zeolites." Materials 13, no. 7 (April 2, 2020): 1640. http://dx.doi.org/10.3390/ma13071640.

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Hierarchically porous ZSM-5 was prepared by utilizing a two-step crystallization procedure with carbon–silica composites as precursors. The hierarchically porous zeolites obtained a regular mesoporous structure with aluminum incorporated into the carbon–silica composite frameworks. The carbon–silica composite zeolites were characterized by XRD, TEM, SEM, and nitrogen adsorption/desorption. As-prepared hierarchical zeolites were used in the 1,3,5-triisopropylbenzene (TIPB) cracking reaction and exhibited significantly high TIPB conversion, while the accessibility factors were also determined.
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3

Chen, Yanliang, Man-Lai Tang, and Maozai Tian. "Semiparametric Hierarchical Composite Quantile Regression." Communications in Statistics - Theory and Methods 44, no. 5 (March 4, 2015): 996–1012. http://dx.doi.org/10.1080/03610926.2012.755199.

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4

Schwieger, Wilhelm, Albert Gonche Machoke, Tobias Weissenberger, Amer Inayat, Thangaraj Selvam, Michael Klumpp, and Alexandra Inayat. "Hierarchy concepts: classification and preparation strategies for zeolite containing materials with hierarchical porosity." Chemical Society Reviews 45, no. 12 (2016): 3353–76. http://dx.doi.org/10.1039/c5cs00599j.

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Starting from a basic classification of “hierarchical porosity” this review gives a broad overview of preparation routes towards hierarchically porous all-zeolite and zeolite containing composite materials.
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Costagliola, Gianluca, Federico Bosia, and Nicola M. Pugno. "Tuning friction with composite hierarchical surfaces." Tribology International 115 (November 2017): 261–67. http://dx.doi.org/10.1016/j.triboint.2017.05.012.

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6

Song, Yanhui, Susheng Zhou, Kaiyun Jin, Jian Qiao, Da Li, Chao Xu, Dongmei Hu, et al. "Hierarchical carbon nanotube composite yarn muscles." Nanoscale 10, no. 8 (2018): 4077–84. http://dx.doi.org/10.1039/c7nr08595h.

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7

Cellary, W., and W. Wieczerzycki. "On hierarchical locking of composite objects." Microprocessing and Microprogramming 37, no. 1-5 (January 1993): 127–30. http://dx.doi.org/10.1016/0165-6074(93)90031-f.

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Li, Jiying, Jiawei Long, Tianli Han, Xirong Lin, Bai Sun, Shuguang Zhu, Jinjin Li, and Jinyun Liu. "A Hierarchical SnO2@Ni6MnO8 Composite for High-Capacity Lithium-Ion Batteries." Materials 15, no. 24 (December 11, 2022): 8847. http://dx.doi.org/10.3390/ma15248847.

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Semiconductor-based composites are potential anodes for Li-ion batteries, owing to their high theoretical capacity and low cost. However, low stability induced by large volumetric change in cycling restricts the applications of such composites. Here, a hierarchical SnO2@Ni6MnO8 composite comprising Ni6MnO8 nanoflakes growing on the surface of a three-dimensional (3D) SnO2 is developed by a hydrothermal synthesis method, achieving good electrochemical performance as a Li-ion battery anode. The composite provides spaces to buffer volume expansion, its hierarchical profile benefits the fast transport of Li+ ions and electrons, and the Ni6MnO8 coating on SnO2 improves conductivity. Compared to SnO2, the Ni6MnO8 coating significantly enhances the discharge capacity and stability. The SnO2@Ni6MnO8 anode displays 1030 mAh g−1 at 0.1 A g−1 and exhibits 800 mAh g−1 under 0.5 A g−1, along with high Coulombic efficiency of 95%. Furthermore, stable rate performance can be achieved, indicating promising applications.
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Wang, Xianzhi, Shubin Si, Yongbo Li, and 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, no. 3-4 (November 5, 2019): 146–60. http://dx.doi.org/10.1177/1077546319877711.

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Fault feature extraction of rotating machinery is crucial and challenging due to its nonlinear and nonstationary characteristics. In order to resolve this difficulty, a quality nonlinear fault feature extraction method is required. Hierarchical permutation entropy has been proven to be a promising nonlinear feature extraction method for fault diagnosis of rotating machinery. Compared with multiscale permutation entropy, hierarchical permutation entropy considers the fault information hidden in both high frequency and low frequency components. However, hierarchical permutation entropy still has some shortcomings, such as poor statistical stability for short time series and inability of analyzing multichannel signals. To address such disadvantages, this paper proposes a new entropy method, called refined composite multivariate hierarchical permutation entropy. Refined composite multivariate hierarchical permutation entropy can extract rich fault information hidden in multichannel signals synchronously. Based on refined composite multivariate hierarchical permutation entropy and random forest, a novel fault diagnosis framework is proposed in this paper. The effectiveness of the proposed method is validated using experimental and simulated signals. The results demonstrate that the proposed method outperforms multivariate multiscale fuzzy entropy, refined composite multivariate multiscale fuzzy entropy, multivariate multiscale sample entropy, multivariate multiscale permutation entropy, multivariate hierarchical permutation entropy, and composite multivariate hierarchical permutation entropy in recognizing the different faults of rotating machinery.
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Zou, Ben-Xue, Yan Wang, Xiaodong Huang, and Yanhua Lu. "Hierarchical N- and O-Doped Porous Carbon Composites for High-Performance Supercapacitors." Journal of Nanomaterials 2018 (June 27, 2018): 1–12. http://dx.doi.org/10.1155/2018/8945042.

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Hierarchical N- and O-doped porous carbon composites were prepared by hydrothermally assembling of silk fibers with low molecular weight phenolic resin, followed by carbonization and KOH activation process. Silk fibroin is expected to provide nitrogen and oxygen functionalities for the final composite carbon. The introduction of thin layer graphitic structures of low molecular weight phenolic resin-derived carbon offers more abundant structures, low resistance, and hierarchical porosity with a high BET surface area of 1927 m2·g−1. The composition and electrochemical properties of the composite carbon have been studied as a function of the annealing temperature for KOH activation process. The obtained carbon composite exhibits high specific capacitance as high as 330 F·g−1 (1000 mF·cm−2) at 0.5 A·g−1, good rate capability, and excellent cycling stability (91% of capacitance retention after 10000 cycles) in 6 M KOH electrolyte.
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Дисертації з теми "Hierarchical composite"

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Malkin, Robert Edward. "Damage tolerant hierarchical composite structures." Thesis, University of Bristol, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557974.

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The use of fibre reinforced polymers is rapidly increasing in a range of applications, from aviation to sporting goods. While the outstanding material properties offered by modern composites make them widely applicable they often suffer from brittle, catastrophic failure. Their inherent brittleness limits their application for safety critical applications without large safety margins. This thesis sets out to introduce design principles that introduce a degree of 'pseudo- ductile' failure behaviour to advanced fibre composites. Much of the inspiration for the work comes from looking at the failure processes of natural hierarchical materials. Many of these materials are able to sustain large amounts of damage at different length scales without catastrophic failure, with many of them being essentially ceramics. Nacre, a relatively simple discontinuous laminated material, served as a major inspiration. Three main strategies were employed to reduce the effects of brittle fracture. Ply terminations were used to selectively weaken a laminate allowing one large fracture to be replaced with a number of smaller ones. Thereby giving indication of the laminates failure and significantly increasing the strain to failure over a traditional laminate. Ply perforations, where portions of a ply are cut, were used to weaken a laminate allowing the location of the fracture to be controlled. The third method tailored interlaminar fracture toughness allowing for steady crack propagation where traditional laminates would suffer unstable crack growth. The work introduces three distinct and highly expandable methodologies capable of reducing the limitations of modern composites.
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Weiland, Michèle. "Modelling hierarchical musical structures with composite probabilistic networks." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/29418.

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Learning and generating musical structures computationally is a challenging task that has taken the interest of a number of research projects since the start of modern computation. This research attempts to demonstrate the approach of using machine learning techniques, namely probabilistic models, to learn and generate large-scale musical structures. Musical works have several defining levels of representation, or musical parameters, such as metre, duration, phrase structure, cadential patterns, pitch. The concept of Hierarchical Input-Output Hidden Markov Models is introduced. These are used in combination with Hierarchical Hidden Markov Models to build composite networks of models that represent musical parameters. The aim is to learn both the local dependencies of the elements that make up the parameters, and the interdependencies between the different parameters. Structured probabilities are extracted from a musical data set, which are then used to generate new pieces of music, providing the models with only a minimum of supervision and expert knowledge. The musical material this study concentrates on is Bach chorales. The composite nature of the networks allows us to experiment with several combinations of models. In order to validate the approach, the generation of two part pieces is used as a preliminary test, later moving on to complete four part works. The musical results, created using a simple “random walk” method, are evaluated with a listening study and analysed using entropy values and music theoretical rules.
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McKenzie, Holly S. "Particle encapsulation and modification to afford hierarchical composite materials." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/67281/.

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Within this thesis we explore the synthesis and modification of hierarchical composite particles and responsive microgels. Initially in Chapter 2 we describe the encapsulation of calcium carbonate particles within a polymeric shell, wherein the inorganic core is kinetically trapped within a cross-linked polymer network. Once primed in this shell we illustrate control of polymer shell thickness through a secondary polymerization. We also begin to investigate the possibility of preparing nano-rattles, using the calcium carbonate core as a sacrificial template. In Chapter 3 we expand on the work presented in Chapter 2, by incorporating pendant vinyl groups into the polymer shell of the composite particles from which we use thiol-ene Michael addition to modify their surface. In Chapter 4 perform the encapsulating polymerization from Chapter 2 and 3, but in the absence of the calcium carbonate core. The stable particles formed were found to be pH responsive microgel particles. We illustrate the gelling behaviour of these particles and use as Pickering stabilizers for oil-in-water emulsions which show reversible flocculation on adjustment of the pH. In investigating these microgel particles we also begin to elucidate unanswered questions from Chapters 2 and 3. Finally in Chapter 5 we go back to encapsulation, this time to synthesize multi-layered particles by encapsulation of Laponite armoured soft latexes. We infer how alterations to particle morphology affect the bulk properties of polymer films by mechanical and thermal analysis.
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Kelly, Aoife. "Processing of bulk hierarchical metal-metal composites." Thesis, University of Oxford, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559831.

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Spray forming with eo-injection of a solid particulate phase to form a metal-metal composite has been studied as a new route for manufacture. Two Al-based matrices were investigated: AI-12Si for testing the feasibility of the new manufacturing route and Al-4Cu for providing better mechanical performance. For both composite types, Ti was chosen as the particulate phase and the processing-microstructure-property relationships then studied. At Peak Werkstoff GmbH, Germany 12 wt%Ti particles were eo-injected into an atomised Al alloy droplet spray and eo-deposited to form a rv300 kg billet. The microstructure comprised refined equiaxed a-AI grains (rv5fLm), spherical Si particles (rv5fLm) and uniformly distributed Ti particles (rv80fLm). Sections of the billet were extruded under a range of conditions into long strips 20mm wide and 6mm, 2.5mm and 1mm thickness. At high strains, the Ti particles were deformed into continuous fibres of a few microns in thickness. Accumulative roll bonding was then performed to higher total strains, while maintaining a constant cross-section, reducing the Ti fibres to sub-micron thickness. The fibres were studied by extraction after selective dissolution of the a-AI matrix. There was no interfacial reaction between a-AI and Ti or any measurable oxide formation, thus providing encouragement for the manufacture of metal-metal composites by eo-spray forming. A powder injection pump was successfully integrated and commissioned on the spray forming facility at Oxford University. The pump was calibrated to optimise powder flow rates. Three AI-4Cu+ Ti composite billets were processed with each containing Ti powder with a different processing history. Up to 20vol%Ti was successfully incorporated, however due to the cooling effect from powder injection, porosity was significant. The quenching effect provided a finer AI-4Cu grain structure in the region of Ti injection, and also promoted precipitation of O'-AbCu precipitates. A Ti/ Al-4Cu interfacial reaction was more prominent in the billet spray formed at 850°C than those spray formed at 750°C. Angular Ti processed by a hydride-dehydride route had better deformation characteristics than spherical gas atomised Ti. Deformation processing by extrusion and rolling was investigated for Al-4Cu+20vol%Ti using SEM, EBSD and FIB. After extrusion to a strain of 5, the composite contained elongated reinforcing fibres characteristic of metal-metal composites. The microstructure studied by EBSD revealed equiaxed polygonal Al-4Cu matrix grains. Rolling was not as efficient as extrusion in producing elongated Ti fibres and was attributed to a lower deformation processing temperature. The rolled composites consisted of elongated Al-4Cu grains 1-5J1m in thickness. An UTS of 339MPa at a strain of 3 was attributed to texture strengthening in the Q- AI.
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Hajlane, 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.

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Cellulose is an environmentally friendly material which is obtainable in vast quantities, since it is present in every plant. Cellulosic fibers are commercially found in two forms: natural (flax, hemp, cotton, sisal, wood, etc.) and regenerated cellulose fibers (RCF). The biodegradability, the morphological and mechanical properties make these fibers a good alternative to the synthetic reinforcement (e.g. glass fibers). However, as all other cellulosic fibers these materials also have similar drawbacks, such as sensitivity to moisture and poor adhesion with polymers. The first part of this work concerned a heterogeneous modification of cellulose nanocrystals (CNC) by using esterification and amidification to attach long aliphatic chains. Long-chain aliphatic acid chlorides and amines were used as grafting reagents. Surface grafting with acyl chains was confirmed by Fourier-transform infrared spectroscopy, elemental analysis, and X-ray photoelectron spectroscopy. It was found that the degree of substitution (DS) of the surface is highly dependent on the method of modification. The contact angle measurement showed that after modification, the surface of CNC was found to be hydrophobic. The second part was devoted to modification of RCF by CNC using Isocyanatopropyl triethoxysilane as coupling agent. Fourier Transform Infrared spectroscopy, Scanning Electron Microscopy and X-ray diffraction analysis were performed to verify the degree of modification. The mechanical properties of the unmodified and modified fibers were analyzed using fiber bundle tensile static and loading–unloading tests. To show the effect of cellulose whiskers grafting on the Cordenka fibers, epoxy based composites were manufactured and tensile tests done on transverse uni-directional specimens. It was found that the mechanical properties were significantly increased by fiber modification and addition of the nano-phase into composite reinforced with micro- sized fibers.
Godkänd; 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
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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.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.
Cataloged 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.
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Zikánová, Arlette, Pavel Hrabánek, Milan Kočiřík, Libor Brabec, Klára Juristová, Pavel Čapek, Bohumil Bernauer, Vladimír Hejtmánek, Olga Šolcová, and 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.

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Zikánová, Arlette, Pavel Hrabánek, Milan Kočiřík, Libor Brabec, Klára Juristová, Pavel Čapek, Bohumil Bernauer, Vladimír Hejtmánek, Olga Šolcová, and 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.

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9

Li, 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.

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The 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.

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10

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.

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Книги з теми "Hierarchical composite"

1

Kim, Chang-Soo, Charles Randow, and Tomoko Sano, eds. Hybrid and Hierarchical Composite Materials. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9.

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2

Li, Songtao, Zhengwang Zhu, Dongyan Liu, and 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.

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3

Abdulrahman, Kamardeen O., Alaaeddin M. H. Abed, AL-Oqla Faris M, Abiodun Bayode, Shubhankar Bhowmick, Sudip Dey, Ta Duy Hien, et al. Hierarchical Composite Materials. Edited by Kaushik Kumar and J. Paulo Davim. De Gruyter, 2019. http://dx.doi.org/10.1515/9783110545104.

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4

Kim, Chang-Soo, Charles Randow, and Tomoko Sano. Hybrid and Hierarchical Composite Materials. Springer, 2015.

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5

Kim, Chang-Soo, Charles Randow, and Tomoko Sano. Hybrid and Hierarchical Composite Materials. Springer, 2016.

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6

Randow, Charles, Tomoko Sano, and Changsoo Kim. Hybrid and Hierarchical Composites. Springer, 2015.

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Davim, J. Paulo, Kaushik Kumar, Kamardeen O. Abdulrahman, Alaaeddin M. H. Abed, and AL-Oqla Faris M. Hierarchical Composite Materials: Materials, Manufacturing, Engineering. de Gruyter GmbH, Walter, 2018.

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Davim, J. Paulo, Kaushik Kumar, Kamardeen O. Abdulrahman, Alaaeddin M. H. Abed, and AL-Oqla Faris M. Hierarchical Composite Materials: Materials, Manufacturing, Engineering. de Gruyter GmbH, Walter, 2018.

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Davim, J. Paulo, Kaushik Kumar, Kamardeen O. Abdulrahman, Alaaeddin M. H. Abed, and AL-Oqla Faris M. Hierarchical Composite Materials: Materials, Manufacturing, Engineering. de Gruyter GmbH, Walter, 2018.

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Hierarchical nonlinear behavior of hot composite structures. [Washington, DC: National Aeronautics and Space Administration, 1993.

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Частини книг з теми "Hierarchical composite"

1

Zhao, Yu, Lele Peng, and Guihua Yu. "Electrochemical Hierarchical Composites." In Hybrid and Hierarchical Composite Materials, 239–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_7.

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Studart, André R., Randall M. Erb, and Rafael Libanori. "Bioinspired Hierarchical Composites." In Hybrid and Hierarchical Composite Materials, 287–318. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_8.

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Kumar R, Manoj, Khelendra Agrawal, and Debrupa Lahiri. "Medical Applications of Hierarchical Composites." In Hybrid and Hierarchical Composite Materials, 203–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_6.

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Shofner, Meisha L. "Hierarchical Composites Containing Carbon Nanotubes." In Hybrid and Hierarchical Composite Materials, 319–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_9.

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Yan, Yongke, and Shashank Priya. "Multiferroic Magnetoelectric Composites/Hybrids." In Hybrid and Hierarchical Composite Materials, 95–160. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_4.

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Sano, Tomoko, Charles L. Randow, and Chang-Soo Kim. "Introduction." In Hybrid and Hierarchical Composite Materials, 1–7. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_1.

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Krasia-Christoforou, Theodora. "Organic–Inorganic Polymer Hybrids: Synthetic Strategies and Applications." In Hybrid and Hierarchical Composite Materials, 11–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_2.

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Chakkalakal, Golda L., Subramanian Ramakrishnan, and Michael R. Bockstaller. "Polymer-Tethered Nanoparticle Materials—An Emerging Platform for Multifunctional Hybrid Materials." In Hybrid and Hierarchical Composite Materials, 65–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_3.

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Shunmugasamy, Vasanth Chakravarthy, Chongchen Xiang, and Nikhil Gupta. "Clay/Polymer Nanocomposites: Processing, Properties, and Applications." In Hybrid and Hierarchical Composite Materials, 161–200. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12868-9_5.

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Baer, Eric, James J. Cassidy, and Anne Hiltner. "Hierarchical Structure of Collagen Composite Systems." In Viscoelasticity of Biomaterials, 2–23. Washington, DC: American Chemical Society, 1992. http://dx.doi.org/10.1021/bk-1992-0489.ch001.

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Тези доповідей конференцій з теми "Hierarchical composite"

1

Liu, Jason, and Rong Rong. "Hierarchical Composite Synchronization." In 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.

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Manjunathaiah, M. "Hierarchical Composite Regular Parallel Architecture." In 2009 Eighth International Symposium on Parallel and Distributed Computing (ISPDC). IEEE, 2009. http://dx.doi.org/10.1109/ispdc.2009.41.

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Uribe, Braian E. B., Alessandra C. Soares-Pozzi, and José R. Tarpani. "NANOCELLULOSE-COATED CARBON FIBERS TOWARDS DEVELOPING HIERARCHICAL POLYMER MATRIX COMPOSITES." In Brazilian Conference on Composite Materials. Pontifícia Universidade Católica do Rio de Janeiro, 2018. http://dx.doi.org/10.21452/bccm4.2018.13.09.

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Appel, Esther. "Dragonfly wings: A complex hierarchical composite system." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.93366.

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Wolff, Benjamin, Tomer Gafni, Guy Revach, Nir Shlezinger, and Kobi Cohen. "Composite Anomaly Detection via Hierarchical Dynamic Search." In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834631.

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Matthews, Jordan, Timothy Klatt, Carolyn C. Seepersad, Michael Haberman, and David Shahan. "Hierarchical Design of Composite Materials With Negative Stiffness Inclusions Using a Bayesian Network Classifier." In 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.

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Анотація:
Recent research in the field of composite materials has shown that it is theoretically possible to produce composite materials with macroscopic mechanical stiffness and loss properties that surpass those of conventional composites. This research explores the possibility of designing and fabricating these composite materials by embedding small volume fractions of negative stiffness inclusions in a continuous host material. Achieving high stiffness and loss from these materials by design, however, is a nontrivial task. This paper presents a hierarchical multiscale material model for these materials, coupled with a set-based, multilevel design approach based on Bayesian network classifiers. Bayesian network classifiers are used to map promising regions of the design space at each hierarchical modeling level, and then the maps are intersected to identify sets of multilevel or multiscale solutions that are likely to provide desirable system performance. Length scales range from the behavior of the structured microscale negative stiffness inclusions to the effective properties of mesoscale composite materials to the performance of an illustrative macroscale component — a vibrating beam coated with the high stiffness, high loss composite material.
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Vyshegorodtseva, E. V., P. A. Matskan, and G. V. Mamontov. "Formation of hierarchical MIL-100(Fe)diatomite composite." In 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.

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Robbins, Donald, J. N. Reddy, and Farzad Rostam-Abadi. "Towards Hierarchical Modeling of Damage in Composite Structures." In 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.

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Laivins, Josiah, and Minwoo Lee. "Automatic Composite Action Discovery for Hierarchical Reinforcement Learning." In 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019. http://dx.doi.org/10.1109/ssci44817.2019.9003053.

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Papula, Dashiell, Zoubeida Ounaies, Paris von Lockette, Denise Widdowson, Anil Erol, and Abdulla Masud. "Characterization and Quantification of Hierarchical Particle Microstructures in External Field-Processed Composites." In 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.

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Abstract In this study, we discuss the characterization and quantification of composite microstructures formed by the external field manipulation of high aspect ratio magnetic particles in an elastomeric matrix. In our prior work, we have demonstrated that the simultaneous application of electric and magnetic fields on hard magnetic particles with geometric anisotropy can create a hierarchy of structures at different length scales, which can be used to achieve a wide range of properties. We aim to characterize these hierarchical structures and relate them to final composite properties so we can achieve our ultimate goal of designing a material for a prescribed performance. The complex particle structures are formed during processing by using electric and magnetic fields, and they are then locked-in by curing the polymer matrix around the particles. The model materials used in the study are barium hexaferrite (BHF) particles and polydimethylsiloxane (PDMS) elastomer. BHF was selected for its hard magnetic properties and high geometric anisotropy. PDMS was selected for its good mechanical properties and its tunable curing kinetics. The resulting BHF-PDMS composites are magnetoactive, i.e., they will deform and actuate in response to magnetic fields. In order to investigate the resulting particle orientation, distribution and alignment and to predict the composite’s macro scale properties, we developed techniques to quantify the particle structures. The general framework we developed allows us to quantify and directly compare the microstructures created within the composites. To identify structures at the different length scales, images of the composite are taken using both optical microscopy and scanning electron microscopy. We then use ImageJ to analyze them and gather data on particle size, location, and orientation angle. The data is then exported to MATLAB, and is used to run a Minimum Spanning Tree Algorithm to classify the particle structures, and von Mises Distributions to quantify the alignment of said structures. Important findings show 1) the ability to control structure using a combination of external electric, magnetic and thermal fields; 2) that electric fields promote long range order while magnetic fields promote short-range order; and 3) the resulting hierarchical structure greatly influence bulk material properties. Manipulating particles in a composite material is technologically important because changes in microstructure can alter the properties of the bulk material. The multifield processing we investigate here can form the basis for next generation additive manufacturing platforms where desired properties are tailored locally through in-situ hierarchical control of particle arrangements.
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Звіти організацій з теми "Hierarchical composite"

1

Taya, Minoru, Masahiro Kusaka, and Suhasini Gururaja. Hierarchical Modeling of Ferromagnetic SMAs and Composites. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada443837.

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Taya, Minoru, Masahiro Kusaka, and Suhasini Gururaja. Hierarchical Modeling of Ferromagnetic SMAs and Composites. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada448165.

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Kotov, Nicholas A. Engineering of High-Toughness Carbon Nanotubes Hierarchically Laminated Composites. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada564047.

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Kalidindi, Surya R., and 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, January 2015. http://dx.doi.org/10.21236/ad1006778.

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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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