Literatura académica sobre el tema "Material Property Identification"
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Artículos de revistas sobre el tema "Material Property Identification"
Wilkie, Jack, Paul D. Docherty y Knut Möller. "Model-based bone material property identification". at - Automatisierungstechnik 68, n.º 11 (26 de noviembre de 2020): 913–21. http://dx.doi.org/10.1515/auto-2020-0083.
Texto completoKottner, Radek, Richard Hynek, Tomáš Mandys y Jan Bartošek. "Material property determination of the lining layers of a versatile helmet". MATEC Web of Conferences 157 (2018): 06005. http://dx.doi.org/10.1051/matecconf/201815706005.
Texto completoTAKEKOSHI, Kunio. "Study on the Identification Method for the Non-linear Material Property". Proceedings of the Materials and Mechanics Conference 2019 (2019): OS1512. http://dx.doi.org/10.1299/jsmemm.2019.os1512.
Texto completoO'Callaghan, Tim. "Intellectual property in the petroleum production and exploration sector—the other hidden asset". APPEA Journal 55, n.º 2 (2015): 447. http://dx.doi.org/10.1071/aj14082.
Texto completoSung, Byung Joon, Jin Woo Park y Yong Hyup Kim. "Material Property Identification of Composite Plates Using Neural Network and Evolution Algorithm". AIAA Journal 40, n.º 9 (septiembre de 2002): 1914–16. http://dx.doi.org/10.2514/2.1873.
Texto completoSung, B. J., J. W. Park y Y. H. Kim. "Material property identification of composite plates using neural network and evolution algorithm". AIAA Journal 40 (enero de 2002): 1914–16. http://dx.doi.org/10.2514/3.15278.
Texto completoLißner, Julian y Felix Fritzen. "Data-Driven Microstructure Property Relations". Mathematical and Computational Applications 24, n.º 2 (31 de mayo de 2019): 57. http://dx.doi.org/10.3390/mca24020057.
Texto completoFeng, Xiang Sai y Kai Shu Guan. "Identification of Creep Property by Small Punch Creep Test and Neural Networks". Applied Mechanics and Materials 711 (diciembre de 2014): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.711.227.
Texto completoGaillard, Claire, Agnieszka Mech, Wendel Wohlleben, Frank Babick, Vasile-Dan Hodoroaba, Antoine Ghanem, Stefan Weigel y Hubert Rauscher. "A technique-driven materials categorisation scheme to support regulatory identification of nanomaterials". Nanoscale Advances 1, n.º 2 (2019): 781–91. http://dx.doi.org/10.1039/c8na00175h.
Texto completoSavvas, Dimitrios, Iason Papaioannou y George Stefanou. "Bayesian identification and model comparison for random property fields derived from material microstructure". Computer Methods in Applied Mechanics and Engineering 365 (junio de 2020): 113026. http://dx.doi.org/10.1016/j.cma.2020.113026.
Texto completoTesis sobre el tema "Material Property Identification"
Hill, Jeremy Lee. "Mechanical property determination for flexible material systems". Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54993.
Texto completoPhillips, Peter Louis. "Study of 2.5D Microstructural Modeling Techniques Used for Material Property Identification". University of Dayton / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1259944273.
Texto completoWang, Jianjun. "Material property identification of polymer thin films under the indentation test". 2001. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-94/index.html.
Texto completoLin, Ren-Jeng y 林仁正. "Multiple Cracks Identification of Free-Free Beam with Uniform Material Property Variation and Noised Frequency Measurement". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/96279169909450831632.
Texto completo國立交通大學
土木工程系所
97
It is common to apply damage-sensitive features from vibration response for structural damage assessment. Fewer damage identification algorithms have been taken into account the material variation. The material variation could be caused by many reasons in engineering practice, also there may exists certain level noise in measurement, these variations may affect the features used for structure monitoring and lead to an inaccurate damage assessment. In this research the authors proposed a model to assess statistical structural damage of free-free beam structure. The modal curvature-base feature was used to identify crack location. The statistical database for damage severity assessment was build by applying the Monte Carlo simulation with Latin hypercube sampling. By mapping vibration-sensitive features with noised modal frequency to statistical damage database, the damage probability among various crack depths were then estimated; its statistical significance of damage level were examined by the t-test. Data from simulated beams and experimental modal analysis were used to demonstrate the assessment procedures. From the results, the authors concluded that the proposed algorithm was robust and able to identify the damage of free-free beam under uniform mass density and stiffness variations incorporated with noise in measured frequency.
chang, sandy y 張瓅心. "Synthesis, Identification, and Opto-electronic Property of Pyrene Derivative Isomers for Organic Light Emitting Diode Material". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/11521271929238805601.
Texto completo中原大學
化學研究所
98
In this study, pyrene was used to manufacture the blue light guest emitter for organic light emitting diode (OLED) elements. Bromine was first reacted with pyrene to form its 1,6- and 1,8-isomer. Then, different aromatic groups to increase its molecular volume, molecular weight, and molecular steric hindrance that can reduce the accumulation of molecules and decrease the interaction between molecules in a heavily doped material substituted bromine in the pyrene molecule. The blue OLEDs synthesized in this study are N1,N1,N6,N6-tetrakis(3,4-dimethylphenyl) pyrene-1,6- diamine (symboled as D1-1,6),N1,N1,N6,N6-tetrakis(3,4-dimethylphenyl)pyrene-1,8- diamine (symboled as D1-1,8), (N1,N6-di(naphthalenelyl)-N1,N6-diphenyl 1,6-diamine (symboled as D2-1,6), and N1,N8-di(naphthalenelyl)-N1,N8- diphenyl pyrene-1,8- diamine (symboled as D2-1,8). The 1,6- and 1,8-pyrene derivative isomers can be separated by their different properties of solubility and sublimation. High-performance liquid chromatography (HPLC), nuclear magnetic resonance (NMR), and mass spectrometry (MS) were used for monitoring the synthesis and identifying the structure of pyrene derivative isomers. The fluorescence property and the thermal stability with the melting point (Tm) and the degradation point (Td) of these blue light emitting materials were also studied in this work. Isomers of D1-1,6 and D1-1,8 and isomers of D2-1,6 and D2-1,8 were fabricated individually to make different types of blue light emitting thin film elements by the process of thermal evaporation and deposition, then, they were tested at the luminance of 5000 cd cm-2. With the same guest light emitting material and the same volume percentage of dopant (4%), the current efficiency of the four blue light emitting materials D1-1,6, D1-1,8, D2-1,6, and D2-1,8 is 7.5 cd A-1, 7.7 cd A-1, 8.1 cd A-1and 8.5 cd A-1, respectively. Because the molecular structures of 1,8-isomers are asymmetry and their steric hindrance is stronger, the light emitting efficiency of 1,8-isomers is better than that of the 1,6-isomers. In addition, the steric hindramce between the molecules of D2 compounds is stronger than that of D1 compounds so that the light emitting efficiency of D2 compounds is better than that of D1 compounds. Although the luminescent color of the fabricated elements from the four pyrene derivative isomers cannot reach a deep blue color, they are still valuable in the production of mono-chromatic OLED products.
Rautela, Mahindra Singh. "Hybrid Physics-Data Driven Models for the Solution of Mechanics Based Inverse Problems". Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6123.
Texto completoKulkarni, Raghavendra B. "Inverse problems solution using spectral finite element methods". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5471.
Texto completoСлізков, А. М. "Розвиток наукових основ прогнозування фізико-механічних властивостей текстильних матеріалів побутового призначення". Thesis, 2010. https://er.knutd.edu.ua/handle/123456789/17075.
Texto completoДиссертация посвящена решению актуальной научно-прикладной задачи для предприятий легкой и текстильной промышленности – прогнозированию физико-механических свойств текстильных материалов и разработке новых методов и средств определения структуры и свойств текстильных материалов. Разработан усовершенствованный метод и устройство оценки несминаемости текстильных полотен после неориентированного смятия, который больше соответствует эксплуатационным воздействиям. Разработанный метод и устройство позволяют определять несминаемость текстильных полотен разной структуры и более точно прогнозировать их формоустойчивость в условиях эксплуатации. На базе этого метода в сотрудничестве с АТ УкрНИИПВ был разработан ДСТУ 2994-95 «Метод определения несминаемости. Полотна трикотажные». Предложен комплексный экспрессный метод оценки микро- и макропористой структуры текстильных материалов, что позволяет достаточно точно прогнозировать гигиенические свойства текстильных материалов, проводить сравнительные исследования и оперативно разрабатывать новый ассортимент текстильных полотен. Результаты работы свидетельствуют о возможности применения методологии построения СПСТМ для прогнозирования свойств текстильных материалов различного назначения.
The dissertation is devoted to the decision of a urgent scientific – applied task for the enterprises of an easy and textile industry – forecasting of properties of textile materials both development of new methods and means of definition of structure and properties of textile materials. The rules(situation) of the theory of systems in forecasting properties of textile materials are advanced and the empirical dependences of properties of textile materials on features of structure and properties of derivative materials are received. The theoretical approach to forecasting properties of textile materials with use of methods of identification is developed. The software of system of forecasting of properties of textile materials is developed and the mathematical models of dependences of fibrous products from structure and properties of derivative materials are received. In work is theoretically proved and the resonant method of an estimation of structure and properties of textile materials is developed and the empirical dependences of change of resonant frequency of the resonator on features of structure of textile materials are received. The method of an estimation of ability to textile processing of strings is developed; a method and device of an estimation bend of textile cloths; the express method of an estimation mikro and makro of structure of textile cloths is offered.
Capítulos de libros sobre el tema "Material Property Identification"
Bruce Hunter, R. "Science Based Identification Plant Genetic Material". En Intellectual Property Rights: Protection of Plant Materials, 93–99. Madison, WI, USA: Crop Science Society of America, Inc. American Society of Agronomy, Inc. Soil Science Society of America, Inc., 2015. http://dx.doi.org/10.2135/cssaspecpub21.c9.
Texto completoNdambi, J. M., J. De Visscher, G. Van Vinckeroy, W. P. Dewilde, J. Vantomme, B. Peeters, M. A. Wahab y G. De Roeck. "Material Property Assessment in Cracked Reinforced Concrete by Dynamic System Identification". En Material Identification Using Mixed Numerical Experimental Methods, 223–32. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1471-1_23.
Texto completoConsidine, John M. y X. Tang. "Use of Bulge Test Geometry for Material Property Identification". En Conference Proceedings of the Society for Experimental Mechanics Series, 43–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62899-8_7.
Texto completoVantomme, J., J. M. Ndambi, J. De Visscher, H. Sol y W. P. De Wilde. "Complex Material Property Identification for Cement Matrix Composites by a Mixed Numerical-Experimental Method". En Material Identification Using Mixed Numerical Experimental Methods, 143–52. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1471-1_15.
Texto completoMa, Yunpeng. "Xixia Longcheng Special Materials Co., Ltd. v. Yulin Intellectual Property Bureau, Shenmu Tianyuan Chemical Co., Ltd. of Shaanxi Coal and Chemical Industry (Dispute over Administrative Resolution of Patent Rights): Identification and Resolution on Procedure Violations in Administrative Enforcement of Patent Law". En Library of Selected Cases from the Chinese Court, 337–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9136-5_35.
Texto completo"Inverse Identification of Material Property of Functionally Graded Materials". En Computational Inverse Techniques in Nondestructive Evaluation, 291–330. CRC Press, 2003. http://dx.doi.org/10.1201/9780203494486-12.
Texto completo"Inverse Identification of Material Property of Functionally Graded Materials". En Computational Inverse Techniques in Nondestructive Evaluation. CRC Press, 2003. http://dx.doi.org/10.1201/9780203494486.ch9.
Texto completoDutta, Rajiv y Pragati Sahai. "Nanoparticles for Bioremediation of Heavy Metal Polluted Water". En Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials, 1241–63. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8591-7.ch052.
Texto completoDutta, Rajiv y Pragati Sahai. "Nanoparticles for Bioremediation of Heavy Metal Polluted Water". En Biostimulation Remediation Technologies for Groundwater Contaminants, 220–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4162-2.ch013.
Texto completoBodnár, László, Péter Debreceni y Ágoston Restás. "Fires at Wildland-urban interface in an observation plot in Hungary". En Advances in Forest Fire Research 2022, 512–16. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_80.
Texto completoActas de conferencias sobre el tema "Material Property Identification"
Morris, Isabel y Branko Glisic. "GPR attribute analysis for material property identification". En 2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR). IEEE, 2017. http://dx.doi.org/10.1109/iwagpr.2017.7996070.
Texto completoTripathy, Sakya, Edward Berger y Kumar Vemaganti. "AFM Indentation and Material Property Identification of Soft Hydrogels". En ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35451.
Texto completoGe, Long, Nam Ho Kim, Gerald R. Bourne y W. Gregory Sawyer. "Material Property Identification and Sensitivity Analysis Using Indentation and FEM". En ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99329.
Texto completoJin, Xiaoliang. "Identification of Process Damping Coefficient Based on Material Constitutive Property". En ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4204.
Texto completoKhulbe, Pramod K. y Terril Hurst. "In-situ identification of material property values for phase-change optical recording". En International Symposium on Optical Memory and Optical Data Storage. SPIE, 1999. http://dx.doi.org/10.1117/12.997625.
Texto completoLee, SamLai. "Identification of Material Property Changes Due to Impact Testing by Ultrasonic Harmonic Measurement". En REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2005. http://dx.doi.org/10.1063/1.1916837.
Texto completoQiao, Pizhong, Wei Fan y Fangliang Chen. "Material property assessment and crack identification of recycled concrete with embedded smart cement modules". En SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, editado por Masayoshi Tomizuka. SPIE, 2011. http://dx.doi.org/10.1117/12.882145.
Texto completoRen, Weiju, David Cebon y Steven M. Arnold. "Effective Materials Property Information Management for the 21st Century". En ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77314.
Texto completoSerebrinsky, Santiago, Fábio Arroyo, Martín Valdez y Ronaldo Silva. "Effect of Forming on Behavior of UOE Pipe Material". En ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-11395.
Texto completoRosen, David W. "A Set-Based Design Method for Material-Geometry Structures by Design Space Mapping". En ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46760.
Texto completoInformes sobre el tema "Material Property Identification"
Groeneveld, Andrew y C. Crane. Advanced cementitious materials for blast protection. Engineer Research and Development Center (U.S.), abril de 2023. http://dx.doi.org/10.21079/11681/46893.
Texto completoGipson y Trahan. PR-369-08609-R01 Online Gas Meter Cleaning. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), junio de 2010. http://dx.doi.org/10.55274/r0010711.
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