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The effect of two-parameter of Pasternak foundations on the oscillations of composite pipelines conveying gas-containing fluids

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INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING 2019年 176卷 103946-000页

作者： Khudayarov, B. A. Komilova, Kh M. Turaev, F. Zh Tashkent Inst Irrigat & Agr Mechanizat Engineers Dept Higher Math Tashkent 100000 Uzbekistan

The effect of two-parameter of Pasternak foundations on the oscillations of composite pipelines conveying a two-phase slug flow is studied in the paper. To analyze the oscillations of the pipelines conveying gas-containing fluid, a viscoelastic model of the theory of beams and a model of Pasternak foundation are used. The Boltzmann-Volterra hereditary theory of the viscoelasticity is used to describe the viscoelastic properties of the pipeline material and earth foundation. A computational algorithm has been developed for solving problems of calculating the oscillatory processes in the pipelines conveying a two-phase gas-containing flow. On the basis of the computational algorithm developed, a set of applied computer programs has been created, which makes it possible to carry out numerical studies of pipeline oscillations. The effect of the flow rate of gas and liquid phases, the effect of tensile forces in the longitudinal direction of the pipeline, Pasternak foundations parameters, the parameters of singularity in the heredity kernels on the oscillations of the pipeline made of composite materials are numerically investigated. It is found that an increase in the length of the gas bubble zone leads to a decrease in the critical velocity of a two-phase slug flow.

关键词： Mathematical modeling Computer simulation computational algorithm Viscoelasticity Pipeline Two-phase slug flow Pasternak foundation

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Fractional-Calculus-Based Electromagnetic Tool to Study Pulse Propagation in Arbitrary Dispersive Dielectrics

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PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE 2019年第3期216卷

作者： Mescia, Luciano Bia, Pietro Caratelli, Diego Polytech Univ Bari Dept Elect & Informat Engn Via E Orabona 4 I-70125 Bari Italy Antenna Co High Tech Campus 41 NL-5656 AE Eindhoven Netherlands

Fractional calculus is a fruitful field of research in science and engineering. The concept of fractional exponents is an outgrowth of exponents with integer value. In the same way, fractional order of integration is a generalization of the mathematical operations of differentiation and integration to arbitrary, general, noninteger order. Although it better models the higher complexity by nature, it is still fairly easy to physically represent its meaning. However, taking in consideration that the study of fractional calculus theory opens the mind to entirely new branches of thought, in this feature article the authors illustrate as such concept can be an interesting and useful tools in electromagnetic theory to solve specific electromagnetic problems regarding the wave propagation and radiation in arbitrary dispersive dielectric materials. In particular, time fractional Maxwell's equations for media with power-law frequency dispersions are illustrated focusing the attention on the mathematical and computational topics. Moreover, practical examples highlighting their usefulness for understanding a variety of electromagnetic phenomena are provided.

关键词： computational algorithm dielectric relaxation dispersive media fractional derivative propagation model

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SIMPLIFIED algorithm FOR NUMERICAL SOLUTION OF LIQUID FLOW EQUATIONS

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JOURNAL OF ENGINEERING PHYSICS AND THERMOPHYSICS 2018年第3期91卷 648-654页

作者： Kuznetsov, V. A. VG Shukhov Belgorod State Technol Univ 46 Kostyukov Str Belgorod 308012 Russia

An algorithm is suggested for numerical solution of differential equations for velocity and pressure on a staggered grid. The algorithm ensures unconditional convergence of iterations for a correction to pressure and ... 详细信息

关键词： mathematical model incompressible liquid velocity pressure correction to pressure computational algorithm

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Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine

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TRANSFUSION AND APHERESIS SCIENCE 2018年第3期57卷 422-424页

作者： Sniecinski, Irena Seghatchian, Jerard City Hope Canc Ctr Dept Hematol & Hematopoiet Cell Transplantat Dept Transfus Med Duarte CA 91010 USA Int Consultancy Blood Components Qual Safety Impr London England

Artificial Intelligence (AI) reflects the intelligence exhibited by machines and software. It is a highly desirable academic field of many current fields of studies. Leading AI researchers describe the field as "the study and design of intelligent agents". McCarthy invented this term in 1955 and defined it as "the science and engineering of making intelligent machines". The central goals of AI research are reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. In fact the multidisplinary AI field is considered to be rather interdisciplinary covering numerous number of sciences and professions, including computer science, psychology, linguistics, philosophy and neurosciences. The field was founded on the claim that a central intellectual property of humans, intelligence-the sapience of Homo Sapiens "can be so precisely described that a machine can be made to simulate it". This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence. Artificial Intelligence has been the subject of tremendous optimism but has also suffered stunning setbacks. The goal of this narrative is to review the potential use of AI approaches and their integration into pediatric cellular therapies and regenerative medicine. Emphasis is placed on recognition and application of AI techniques in the development of predictive models for personalized treatments with engineered stem cells, immune cells and regenerated tissues in adults and children. These intelligent machines could dissect the whole genome and isolate the immune particularities of individual patient's disease in a matter of minutes and create the treatment that is customized to patient's genetic specificity and immune system capability. AI techniques could be used for optimization of clinical trials of innovative stem cell and gene therapies in pediatric patients b

关键词： Artificial intelligence computational science computational algorithm Cancer Immune therapy Regenerative medicine

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algorithms for Motion Optimization on a Given Trajectory Taking into Account Weather Forecast and Constraints

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IFAC-PapersOnLine 2018年第32期51卷 389-394页

作者： Sotnikova, Margarita V. Veremey, Evgeny I. Department of Computer Applications and Systems Saint-Petersburg State University Saint-Petersburg Russia

The paper is devoted to the problem of motion optimization of a ship on a given long trajectory with respect to weather forecast and additional constraints. This problem has practical meaning for long distances, where saving of fuel consumption and reducing travel time is of significant importance. A finite-dimensional formulation of the optimization problem is considered taking into account the mathematical model of ship motion, weather forecast, constraints and given cost functionals. The computational algorithms for calculation of travel time and fuel consumption are proposed. The main result is presented by the algorithm for optimizing the velocity distribution on a given trajectory. This algorithm is based on the representation of the route of motion on a fixed trajectory in two-dimensional space. The obtained results are demonstrated by illustrative examples. © 2018

关键词： Weather forecasting Accident prevention Optimization Ships Trajectories Travel time computational algorithm Finite dimensional Long trajectories Marine systems Motion optimization Optimization problems Transportation logistics Two dimensional spaces

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Air Quality Based Informational Intervention Framework To Promote Healthy And Active School Travel 9

Air Quality Based Informational Intervention Framework To Pr...

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9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) / 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH)

作者： Ahmed, Shiraz Adnan, Muhammad Janssens, Davy Yasar, Ansar-ul-Haque Wets, Geert UHasselt Hasselt Univ Transportat Res Inst IMOB B-3590 Diepenbeek Belgium

This paper presents a comprehensive framework that guides in setting up an effective intervention design to promote active school travel keeping in view the air quality. As lack of physical activities are observed in school going children all over the world so various programs have been launched to encourage active commuting among school going kids using different intervention strategies. So far no effort was found in which the pollutant exposure aspect is taken into account. The primary objective of this study is to develop a computational model that helps in detecting walking/cycling school routes at an individual level that enhance physical activity alongside lesser exposure to air pollutants. The computations involved in this process is dependent on a variety of data sets such as individual's school travel dairy, street level pollutant concentration data, public and active transport network data. The output generated gives exposure and physical activity involved in the current and suggested school routes. It is taken into consideration that the changes identified are healthy (having low exposure to pollutants) and encourage active school travel. These changes can be considered as alternatives/suggestions to develop the customized information package that can be used as a behavioural intervention tool. (C) 2018 The Authors. Published by Elsevier Ltd.

关键词： Active school travel air pollutant exposure informational intervention framework computational algorithm

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Functional knowledge integration of the design process

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Science China(Technological Sciences) 2017年第2期60卷 209-218页

作者： CHEN Bin XIE YouBai State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 China

Functional knowledge integration is the initial and core phase of a design process. It is the key phase to ensure that the functional requirement of the design product can be appropriately complied with, and its result is also the rudiment of the subsequent detailed design work. If this important phase can be supported by an increasingly distributed resource environment, and be automated such that its completion requires less manual work, the efficiency of the design process would be largely improved and its ability to promote innovation would be enhanced. Therefore, this study involved a detailed analysis of the functional knowledge integration of the design process, as well as the proposal of a corresponding running model. Based on the model, a computational algorithm and an evaluating method were established to automate functional knowledge integration. A corresponding computer program was developed to prove the feasibility of this approach, and it was used to design a solarpowered wiper blade.

关键词： functional knowledge integration design process running model computational algorithm evaluating method

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Avaliação do sistema computadorizado de planejamento radioterápico XiO 5.10 – aspectos funcionais e avanços tecnológicos para melhoria da resposta terapêutica dos tratamentos

Avaliação do sistema computadorizado de planejamento radio...

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作者： Campanelli, Henrique Barcellos Universidade Estadual Paulista

Este trabalho apresenta um estudo de planos radioterápicos realizados com o Sistema de Planejamento de Tratamento (TPS) XiO 5.10, utilizados em centros de radioterapia. Foram analisados os protocolos clínicos de radioterapia através de pesquisa bibliográfica em artigos científicos e textos produzidos pelas sociedades especializadas da área da radioncologia. Foram realizadas visitas técnicas junto a serviços de radioterapia para melhor entendimento das diferenças entre os distintos sistemas de planejamentos radioterápicos aplicados. A pesquisa verificou a resposta de três diferentes algoritmos computacionais de cálculo de dose de radiação: Superposition, Convolution e Fast Superposition, disponíveis no TPS XiO® da Elekta Medical Systems. Para isto foram analisados os parâmetros de distribuição de dose para 22 planejamentos radioterápicos realizados em uma clínica de radioterapia privada, sendo: 1 paciente com metástase cerebral, 3 pacientes com tumores de cabeça e pescoço, 9 com câncer de mama e 9 com tumores da próstata. Também foi quantificada a influência da heterogeneidade do tecido irradiado, através dos métodos de correção de heterogeneidade do XiO. Independentemente da correção de heterogeneidade do tecido, de um modo geral, o algoritmo de Convolution tendeu a subestimar a dose no PTV quando comparado com os outros dois algoritmos de cálculo de dose. Não foram percebidas diferenças significativas nos valores de dose de radiação calculados para o PTV, determinadas com os outros dois algoritmos, no entanto, o método Superposition proporciona leve redução do tempo de processamento computacional. O trabalho pretende contribuir para uma melhor compreensão da sistemática de cálculo do TPS XiO e assim, beneficiar os usuários dos planejamentos computadorizados durante a análise dos indicadores da qualidade do plano de *** paper bring forward a study of radiotherapeutic planning accomplished by XiO 5.10 treatment planning systems utilized in radiotherapic c

关键词： algoritmo computacional dose de radiação heterogeneidade radioterapia sistema de planejamento radioterápico radiation dose heterogeneity radiotherapy treatment planning system computational algorithm Dissertação de mestrado

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Air Quality Based Informational Intervention Framework To Promote Healthy And Active School Travel

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Procedia Computer Science 2018年 141卷 382-389页

作者： Shiraz Ahmed Muhammad Adnan Davy Janssens Ansar-ul-Haque Yasar Geert Wets UHasselt - Hasselt University Transportation Research Institute (IMOB) Agoralaan 3590 Diepenbeek Belgium

This paper presents a comprehensive framework that guides in setting up an effective intervention design to promote active school travel keeping in view the air quality. As lack of physical activities are observed in school going children all over the world so various programs have been launched to encourage active commuting among school going kids using different intervention strategies. So far no effort was found in which the pollutant exposure aspect is taken into account. The primary objective of this study is to develop a computational model that helps in detecting walking/cycling school routes at an individual level that enhance physical activity alongside lesser exposure to air pollutants. The computations involved in this process is dependent on a variety of data sets such as individual’s school travel dairy, street level pollutant concentration data, public and active transport network data. The output generated gives exposure and physical activity involved in the current and suggested school routes. It is taken into consideration that the changes identified are healthy (having low exposure to pollutants) and encourage active school travel. These changes can be considered as alternatives/suggestions to develop the customized information package that can be used as a behavioural intervention tool.

关键词： Active school travel air pollutant exposure informational intervention framework computational algorithm

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Analysis of Fan Waves in a Laboratory Model Simulating the Propagation of Shear Ruptures in Rocks

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JOURNAL OF APPLIED MECHANICS AND TECHNICAL PHYSICS 2017年第7期58卷 1139-1152页

作者： Tarasov, B. G. Sadovskii, V. M. Sadovskaya, O. V. Univ Western Australia Ctr Offshore Fdn Syst Perth WA 6009 Australia Inst Computat Modeling SB RAS Krasnoyarsk 660036 Russia

The fan-shaped mechanism of rotational motion transmission in a system of elastically bonded slabs on flat surface, simulating the propagation of shear ruptures in super brittle rocks, is analyzed. Such ruptures appear in the Earth's crust at seismogenic depths. They propagate due to the nucleation of oblique tensile microcracks, leading to the formation of a fan domino-structure in the rupture head. A laboratory physical model was created which demonstrates the process of fan-structure wave propagation. Equations of the dynamics of rotational motion of slabs as a mechanical system with a finite number of degrees of freedom are obtained. Based on the Merson method of solving the Cauchy problem for systems of ordinary differential equations, the computational algorithm taking into account contact interaction of slabs is developed. Within the framework of a simplified mathematical model of dynamic behavior of a fan-shaped system in the approximation of a continuous medium, the approximate estimates of the length of a fan depending on the velocity of its motion are obtained. It is shown that in the absence of friction a fan can move with any velocity that does not exceed the critical value, which depends on the size, the moment of inertia of slabs, the initial angle and the elasticity coefficient of bonds. In the presence of friction a fan stops. On the basis of discrete and continuous models, the main qualitative features of the behavior of a fan-structure moving under the action of applied tangential forces, whose values in a laboratory physical model are regulated by a change in the inclination angle of the rupture plane, are analyzed. Comparison of computations and laboratory measurements and observations shows good correspondence between the results.

关键词： fan-shaped mechanism Lagrange equations Euler equation traveling waves computational algorithm

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