Relevant bibliographies by topics / Modified multi- variable A-function

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Modified multi- variable A-function'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Modified multi- variable A-function"

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Srimannarayana, N., Fredric Ayant, Y. Pragathi Kumar, D. K. Pavan Kumar, and B. Satyanarayana. "Multiple eulerian integrals with modified multivariable I-function having general arguments." Journal of Interdisciplinary Mathematics 26, no. 1 (2023): 77–94. http://dx.doi.org/10.47974/jim-1649.

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Many authors have recently provided a number of expressions for a general Eulerian integrals about the multi-variable H-functions. Inspired by these works, we evaluated here a general class of multi-variable Eulerian integrals with modified multi-variable I-function (MMIF) with general arguments, which has been defined in this article. Some of the particular cases have been discussed. These results will help to deduce numerous useful integrals.
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Ayant, F., Y. Pragathi Kumar, N. Srimannarayana, and B. Satyanarayana. "TRANSFORMATION FORMULAE FOR MODIFIED MULTI-VARIABLE I-FUNCTION OF PRASAD." Advances in Mathematics: Scientific Journal 9, no. 6 (2020): 3663–74. http://dx.doi.org/10.37418/amsj.9.6.44.

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Frédéric, Ayant, Kumar Prvindra, and Singh Harendra. "Multidimensional Laguerre Transform and Modified of generalized multivariable A-function." APPLIED SCIENCE PERIODICAL XXIII, no. 2, May 2021 (2021): 14–28. https://doi.org/10.5281/zenodo.6796596.

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<em>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; The object of this paper is to use the multidimensional Laguerre transforms involving the modified of </em> <em>generalized multivariable A-function. In the end, we shall see several corollaries and remarks.</em>
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Ma, Song-Hua, Yi-Pin Lu, Jian-Ping Fang, and Zhi-Jie Lv. "Time Evolution of Folded (2+1)-Dimensional Solitary Waves." Zeitschrift für Naturforschung A 64, no. 5-6 (2009): 309–14. http://dx.doi.org/10.1515/zna-2009-5-604.

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Abstract With an extended mapping approach and a linear variable separation approach, a series of solutions (including theWeierstrass elliptic function solutions, solitary wave solutions, periodic wave solutions and rational function solutions) of the (2+1)-dimensional modified dispersive water-wave system (MDWW) is derived. Based on the derived solutions and using some multi-valued functions, we find a few new folded solitary wave excitations.
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Wang, Fan, and Guige Gao. "Optimization of short-term wind power prediction of Multi-kernel Extreme Learning Machine based on Sparrow Search Algorithm." Journal of Physics: Conference Series 2527, no. 1 (2023): 012075. http://dx.doi.org/10.1088/1742-6596/2527/1/012075.

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Abstract Aiming at the problem that the single kernel function of kernel extreme learning machine (KELM) cannot adapt to the variable actual wind power. This paper proposes a modified prediction model which can increase the accuracy of prediction. The prediction model uses multiple kernel functions instead of a single kernel function and optimizes the kernel parameters by using a sparrow search algorithm (SSA). Finally, through the simulation and comparison experiments, the proposed prediction model has better prediction accuracy than the conventional prediction model.
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Asghar, Amber, Aamir Sanaullah, Muhammad Hanif, and Laila A. Al-Essa. "Enhancing Precision in Population Variance Vector Estimation: A Two-Phase Sampling Approach with Multi-Auxiliary Information." Sains Malaysiana 53, no. 7 (2024): 1693–702. http://dx.doi.org/10.17576/jsm-2024-5307-16.

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To enhance precision in estimating unknown population parameters, an auxiliary variable is often used. However, in scenarios where required information on an auxiliary variable is partially or fully unavailable, two-phase sampling is commonly employed. The challenge of estimating the variance vector using multi-auxiliary variables is a less explored area in current literature. This paper addresses the estimation of vector of unknown population variances for multiple study variables by using an estimated vector of variances derived from multi-auxiliary information. This approach is particularly
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Li, Qiaoping, and Sanyang Liu. "Dual-stage adaptive finite-time modified function projective multi-lag combined synchronization for multiple uncertain chaotic systems." Open Mathematics 15, no. 1 (2017): 1035–47. http://dx.doi.org/10.1515/math-2017-0087.

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Abstract In this paper, for multiple different chaotic systems with unknown bounded disturbances and fully unknown parameters, a more general synchronization method called modified function projective multi-lag combined synchronization is proposed. This new method covers almost all of the synchronization methods available. As an advantage of the new method, the drive system is a linear combination of multiple chaotic systems, which makes the signal hidden channels more abundant and the signal hidden methods more flexible. Based on the finite-time stability theory and the sliding mode variable
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Al-Suhili, Rafa H. "Multi-Sites Multi-Variables Forecasting Model for Hydrological Data using Genetic Algorithm Modeling." Journal of Engineering 21, no. 3 (2015): 54–72. http://dx.doi.org/10.31026/j.eng.2015.03.04.

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A two time step stochastic multi-variables multi-sites hydrological data forecasting model was developed and verified using a case study. The philosophy of this model is to use the cross-variables correlations, cross-sites correlations and the two steps time lag correlations simultaneously, for estimating the parameters of the model which then are modified using the mutation process of the genetic algorithm optimization model. The objective function that to be minimized is the Akiake test value. The case study is of four variables and three sites. The variables are the monthly air temperature,
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Chen, Liang, Xiaokai Chang, and Sanyang Liu. "A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond." Asia-Pacific Journal of Operational Research 37, no. 04 (2020): 2040009. http://dx.doi.org/10.1142/s0217595920400096.

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In recent years, several convergent variants of the multi-block alternating direction method of multipliers (ADMM) have been proposed for solving the convex quadratic semidefinite programming via its dual, which is inherently a [Formula: see text]-block separable convex optimization problem with coupled linear constraints. Among these multi-block ADMM-type algorithms, the modified [Formula: see text]-block ADMM in [Chang, XK, SY Liu and X Li (2016). Modified alternating direction method of multipliers for convex quadratic semidefinite programming. Neurocomputing, 214, 575–586] bears a peculiar
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Nurdin, Muhammad Rafi Hasan, Muhammad Ohid Ullah, Adji Achmad Rinaldo Fernandes, Eni Sumarminingsih, and Solimun Solimun. "Development of Semiparametric Smoothing Spline Path Analysis on Cashless Society." CAUCHY: Jurnal Matematika Murni dan Aplikasi 10, no. 1 (2025): 53–71. https://doi.org/10.18860/cauchy.v10i1.29846.

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Path analysis requires assumptions to be met, particularly the linearity assumption, which can be tested using the Ramsey Regression Specification Error Test (RESET). Parametric path analysis is appropriate when all variable relationships are linear. For entirely non-linear relationships, a nonparametric model can be used, while a semiparametric model applies if there is a mix of linear and non-linear relationships. One nonparametric method is spline smoothing, which requires determining the spline polynomial order in estimating the nonparametric path function. Determining the spline polynomia
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Dissertations / Theses on the topic "Modified multi- variable A-function"

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Rayner, Rachael E. "Investigating the population structure of Queensland invasive Streptococcus pneumoniae isolates in children: Using a modified multi-locus variable number of tandem repeat analysis and a novel minimum SNPs capsular typing method." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/87096/1/Rachael_Rayner_Thesis.pdf.

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This research investigated the use of DNA fingerprinting to characterise the bacteria Streptococcus pneumoniae or pneumococcus, and hence gain insight into the development of new vaccines or antibiotics. Different bacterial DNA fingerprinting methods were studied, and a novel method was developed and validated, which characterises different cell coatings that pneumococci produce. This method was used to study the epidemiology of pneumococci in Queensland before and after the introduction of the current pneumococcal vaccine. This study demonstrated that pneumococcal disease is highly prevalent
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Tancred, James Anderson. "Aerodynamic Database Generation for a Complex Hypersonic Vehicle Configuration Utilizing Variable-Fidelity Kriging." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1543801033672049.

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Cheng-FangHung and 洪晟芳. "A Computational Experiment in GPU：The Numerical Solution of Global Extreme Problem for Nonlinear Multi-variable Function on A Given Region." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/58919532185244945842.

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碩士<br>國立成功大學<br>數學系應用數學碩博士班<br>100<br>In recent years, a focus issue of scientific computing in the performance of the computation. A creative development for the high-performance computing is CUDA which adopts GPU to be an auxiliary device for the numerical computation, especially, parallel computation. We therefore survey the elementary architecture of CUDA in this thesis. A numerical experiment in GPU by using Matlab with software Jacket for solving nonlinear optimization problem is demonstrated. Some numerical results are illustrated the efficiency of GPU.
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(6852506), Gowtham Manikanta Reddy Tamanampudi. "REDUCED FIDELITY ANALYSIS OF COMBUSTION INSTABILITIES USING FLAME TRANSFER FUNCTIONS IN A NONLINEAR EULER SOLVER." Thesis, 2019.

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<p>Combustion instability, a complex phenomenon observed in combustion chambers is due to the coupling between heat release and other unsteady flow processes. Combustion instability has long been a topic of interest to rocket scientists and has been extensively investigated experimentally and computationally. However, to date, there is no computational tool that can accurately predict the combustion instabilities in full-size combustors because of the amount of computational power required to perform a high-fidelity simulation of a multi-element chamber. Hence, the focus is shifted to reduced
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Books on the topic "Modified multi- variable A-function"

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Patel, Sameer, and Julia Wendon. Pathophysiology and causes of acute hepatic failure. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0194.

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Acute liver failure (ALF) is a rare, life-threatening clinical syndrome, resulting in loss of hepatic metabolic and immunological function, in a person with no prior history of liver disease. Mortality can still exceed 50%. ALF is characterized by hepatic encephalopathy (HE) and coagulopathy, occurring within days or weeks. Establishing aetiology is essential for treatment, prognostication, and liver transplantation consideration. Viral hepatitis and drug-induced liver failure are the two commonest causes worldwide. Aetiology and time of onset of encephalopathy determines prognosis. Disease pr
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Book chapters on the topic "Modified multi- variable A-function"

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Liu, Xikun, Ben Niu, and Wenjie Yi. "A Modified Variable Velocity Strategy Particle Swarm Optimization Algorithm for Multi-objective Feature Selection." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7181-3_4.

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Ferreras-Higuero, Eugenio, Eduardo Díez-Cifuentes, Erardo Leal-Muñoz, Miguel Clavijo-Jiménez, and Antonio Vizán-Idoipe. "Analysis of the Behaviour of Vertical Articulated Robots in Machining Operations." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_58.

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AbstractThe aim of this work is to improve the productivity of manufacturing cells by reallocating tasks between the machine tools and the robot. The true working capacity of the robot is established considering the process forces and taking into account the specified precision of the product to be manufactured by accurately modelling its behaviour. This modelling has been carried out using the multi-body method and considering a variable stiffness in the robot joints. The behaviour of the robot at different points in the work area is determined, determining where the best results are produced. This results in the possible reallocation of tasks, the positioning point and the orientation of the workpiece in the working area.The simulated or measured cutting force is fed into the model, modified according to variations in the machining parameters. These variations occur due to deviations of the robot during the machining path. A function is defined where the influence on the value of the force is recorded. This input information can be modified based on feedback from the estimated behaviour of the robot. The results of the modelling of the robot and its interaction with the cutting forces show the influence of the type of robot and the work area in which it is working, allowing the process to be characterised.
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Emamyari, Soheila, and Mehdi Hassani. "On the Maximum Value of a Multi-variable Function." In Approximation and Computation in Science and Engineering. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-84122-5_15.

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Kazemi Kordestani, Javidan, Mehdi Razapoor Mirsaleh, Alireza Rezvanian, and Mohammad Reza Meybodi. "Function Management in Multi-population Methods with a Variable Number of Populations: A Variable Action Learning Automaton Approach." In Intelligent Systems Reference Library. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76291-9_9.

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Dogan, Vedat, and Steven Prestwich. "Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_32.

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AbstractA bilevel optimization problem consists of an upper-level and a lower-level optimization problem connected to each other hierarchically. Efficient methods exist for special cases, but in general solving these problems is difficult. Bayesian optimization methods are an interesting approach that speed up search using an acquisition function, and this paper proposes a modified Bayesian approach. It treats the upper-level problem as an expensive black-box function, and uses multiple acquisition functions in a multi-objective manner by exploring the Pareto-front. Experiments on popular bilevel benchmark problems show the advantage of the method.
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Kuriata, Andrzej, and Ramesh G. Illikkal. "Predictable Performance for QoS-Sensitive, Scalable, Multi-tenant Function-as-a-Service Deployments." In Agile Processes in Software Engineering and Extreme Programming – Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58858-8_14.

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Abstract In this paper we present the results of our studies focused on enabling predictable performance for functions executing in scalable, multi-tenant Function-as-a-Service environments. We start by analyzing QoS and performance requirements and use cases from the point of view of End-Users, Developers and Infrastructure Owners. Then we take a closer look at functions’ resource utilization patterns and investigate functions’ sensitivity to those resources. We specifically focus on the CPU microarchitecture resources as they have significant impact on functions’ overall performance. As part of our studies we have conducted experiments to research the effect of co-locating different functions on the compute nodes. We discuss the results and provide an overview of how we have further modified the scheduling logic of our containers orchestrator (Kubernetes), and how that impacted functions’ execution times and performance variation. We have specifically leveraged the low-level telemetry data, mostly exposed by the Intel® Resource Director Technology (Intel® RDT) [1]. Finally, we provide an overview of our future studies, which will be centered around node-level resource allocations, further improving a function’s performance, and conclude with key takeaways.
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Feng, Laiping, Rengui Ruan, and Anmin Zeng. "A Method of Combined Orbit Determination of Multi-source Data with Modified Helmert Variance Component Estimation." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3711-0_5.

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Kandar, Shyamalendu, and Bibhas Chandra Dhara. "A (k, n) Multi Secret Sharing Scheme Using Two Variable One Way Function with Less Public Values." In Information Systems Security. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26961-0_32.

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Qin, Junwei, and Yunzhao Li. "Three-Dimensional Pin-by-Pin Transient Analysis for PWR-Core." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_67.

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AbstractTo ensure the safety of PWR-core operation, three-dimensional whole-core transient analysis needs to be carried out for the sake of the pin-power distribution. For this purpose, this paper presents “Bamboo-Transient 2.0”, a three-dimensional pin-by-pin transient analysis program. The program adopts a fully-implicit backward method with finite difference for time variable discretization, a method of exponential function expansion nodal (EFEN) SP3 for the neutron transport calculation, and a multi-channel model for the thermal feedback calculation. In addition, Picard iteration is used to couple the neutronics with thermal-feedback, which is intended to guarantee the convergence of coupling iteration at each time step. Moreover, the program can perform parallel computing based on Message Passing Interface (MPI) for the whole-core pin-by-pin transient analysis. This developed program has been applied to two commercial PWRs, viz. AP1000 and CNP1000. Numerical results of this application demonstrate that Bamboo-Transient 2.0 can yield much more refined results than the traditional legacy coarse-mesh neutron-diffusion programs based on assembly homogenization. Its pin-wise distributions of state parameters are reliable and thus can satisfactorily meet the requirements and purpose of safety analysis.
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Tan, Zhirong, Gang Xing, Xing Gao, and Xin Cui. "Turbulent Flow Simulation of Bridge Piers and Navigation Safety of Ships in Curved River Sections with Variable Water Level." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_64.

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AbstractSome of the bridges across the Yangtze River in the Three Gorges Reservoir area are in the curved section, and the collision prevention of bridges is a hot issue in the current industry. The system of ships sailing across bridges is a complex system in the discipline of transportation engineering. It is affected by ship conditions, channel conditions, meteorology and hydrology, navigation management and human factors. In order to grasp the influence of turbulent flow near the piers of bridges in curved river sections and oblique flow during variable water level periods on ships crossing bridges, it is necessary to carry out numerical simulation analysis. Methods: By establishing a simple physical model of the water area of the bridge pier, the turbulent flow field of the bridge pier was simulated in two dimensions by Fluent software. Then the turbulent flow characteristics of the single pier and the tandem double pier were compared, and the flow velocity on the upstream side of the bridge pier was used as a parameter to carry out numerical simulation. Finally, the flow-induced drift of the ship is quantitatively calculated in combination with the flow velocity. Conclusion: The two-dimensional simulation confirms that the turbulent width of the bridge pier increases with the increase of the flow velocity. The turbulent width of the tandem double pier is larger than that of the single pier, but the vorticity extending downstream is smaller than that of the single pier. The deflection moment and flow-induced drift of the ship crossing the bridge confirm the risk of ship collision. It is necessary to add a multi-function navigation mark to collect water flow parameters in time, and introduce LED visual navigation in the bridge area to improve the reliability of ship navigation in the bridge area of the curved river section.
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Conference papers on the topic "Modified multi- variable A-function"

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Sundararajan, Guruprasad, Rebecca Hefner, and Vijay Kumar Narasaiah. "Assessment of Coupled Multi-Electrode Array Technique for Monitoring Corrosion Performance of a Martensitic Stainless Steel under Salt-fog Environments." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09396.

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Abstract Coupled Multi-Electrode Array Sensor (CMEAS) have been used for monitoring performance of 17-4PH stainless steel under Salt-fog conditions. Temperature, pH and Salt-concentrations and pH were varied at 2 levels for understanding the effects of these parameters on localized corrosion performance. Specific sets of experiments were done with also two levels of electrode diameters. Average localized corrosion rates and maximum pit-depths were monitored as a function of time. Coupons of 17-4PH and GTD450 stainless steels were also placed in the same environment to compare the results with
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Scholz, A., and C. Berger. "Improved Methods of Creep-Fatigue Life Assessment of Components." In AM-EPRI 2007, edited by R. Viswanathan, D. Gandy, and K. Coleman. ASM International, 2007. https://doi.org/10.31399/asm.cp.am-epri-2007p0748.

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Abstract Here’s a refined version of your abstract for improved clarity, grammar, and readability: Enhanced life assessment methods contribute to the long-term operation of high-temperature components by reducing technical risks and increasing economic benefits. This study investigates creep-fatigue behavior under multi-stage loading, including cold start, warm start, and hot start cycles, as seen in medium-loaded power plants. During hold times, creep and stress relaxation accelerate crack initiation. Creep-fatigue life can be estimated using a modified damage accumulation rule that incorpora
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Jimenez-Garcia, Antonio, and George Barakos. "Implementation of High-Order Methods in the HMB CFD Solver." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12011.

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This work presents the development and implementation of an efficient, compact high-order finite-volume scheme in the HMB CFD solver. This formulation is based on the variable extrapolation MUSCL-scheme, where high-order spatial accuracy (up to 4th-order) is achieved using high-order correction terms through a successive differentiation. The scheme has also been modified to cope with physical and multiblock mesh interfaces, so stability, conservativeness, and high-order accuracy are guaranteed. A wide variety of results for the underlying method are presented, including two-and three-dimension
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Mas, Lorenzo, Rita Ponza, and Ernesto Benini. "Aerodynamic Shape Optimization of a Helicopter Main Rotor Hub Beanie Using Advanced Multi-Objective Evolutionary Algorithms." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9441.

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The main rotor hub cap beanie is an aerodynamic component involved in the reduction of helicopter tail shake phenomenon. Recently, an extensive CFD test campaign concerning the AgustaWestland AW101 beanie has been carried out in order to assess its aerodynamic performance at specific operating conditions. These numerical analyses were essential for the beanie aerodynamic multi-objective optimization which is described in the present work. Specifically, the original beanie model was first modified and then, the new geometry was parameterized and the variables describing the main beanie geometri
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Cai, Shaobin, Xi Li, Zhenguo Gao, Nianmin Yao, and Ying Tian. "Modified Improved Alternating Combination Trilateration Algorithm with a Variable m." In 2008 International Multi-symposiums on Computer and Computational Sciences (IMSCCS). IEEE, 2008. http://dx.doi.org/10.1109/imsccs.2008.23.

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Fenu, Luigi, and Giuseppe C. Marano. "Steel Truss-Type Arches Optimization Under Multi-Load Cases." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1338.

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&lt;p&gt;Structural optimization of arches under multi-load cases is faced. For this aim, truss-type arches are to be considered because, under different load cases, bending effects unavoidably occur in single-rib arches shaped under one load case only. An effective procedure for simultaneous topology, shape and size optimization of truss-arches under multi-load cases is proposed. For this aim, shape, size and topology variables are assembled in a unique set of variables that are simultaneously optimised by the optimization algorithm. For given Pratt-type brace pattern, different topologies ha
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Khraisheh, Marwan, Naveen Thuramalla, Fadi Abu-Farha, and Pushkarraj Deshmukh. "Multi-Scale Analysis of Deformation and Failure of Superplastic Materials." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43355.

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The superplastic deformation is modeled within the continuum theory of viscoplasticity with an anisotropic yield function and a microstructure-based overstress function. Grain growth and cavitation are incorporated in the model and their effects on the superplastic flow stress are investigated. In addition, a new multi-scale stability criterion for superplastic deformation taking into account both geometrical (macroscopic) and microstructural features including grain growth and cavitation is presented. The new stability criterion is based on Hart’s stability criterion and is obtained by combin
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O¨ksu¨z, O¨zhan, and I˙brahim Sinan Akmandor. "Multi Objective Aerodynamic Optimization of Axial Turbine Blades Using a Novel Multi-Level Genetic Algorithm." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50521.

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In this paper, a new multiploid genetic optimization method handling surrogate models of the CFD solutions is presented and applied for multi objective turbine blade aerodynamic optimization problem. A fast, efficient, robust, and automated design method is developed to aerodynamically optimize 3D gas turbine blades. The design objectives are selected as maximizing the adiabatic efficiency and torque so as to reduce the weight, size and cost of the gas turbine engine. A 3-Dimensional steady Reynolds Averaged Navier Stokes solver is coupled with an automated unstructured grid generation tool. T
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Vaidheeswaran, Avinash, John R. Buchanan, Paul Guilbert, and Martin Lopez de Bertodano. "Multi-Scale Near-Wall Averaging and Two-Phase Logarithmic Law for a CFD Two-Fluid Model." In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-22006.

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A considerable amount of work has been done in the past to improve the solution methodology using the two-fluid model in the near-wall region. This includes the works of Larrateguy et al. [1], and Moraga et al. [2], based on a multi-scale bubble-center averaging technique. However one shortcoming is that the primitive variables must be recovered from the bubble-center averaged variables. This makes it difficult to implement it in a commercial CFD code. The current research focuses on an engineering approach to overcome this issue. A multi-scale near-wall averaging technique is proposed which s
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Singh, Nikhil, and Anupam Saxena. "Projected Barycentric Densities for Multi-Material Topology Optimization Using Shape Function With Penalization Approach." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-115128.

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Abstract The paper proposes and implements modifications to the Shape Function with Penalization (SFP) approach to solve multi-material topology optimization (MMTO) problems. The SFP approach employs barycentric shape functions from the Finite Element literature, to evaluate material densities allowing one to solve MMTO requiring two or three variables per cell. Barycentricity, i.e., non-negativity and partition of unity amongst densities is the key for a cell to be assigned one of the specified materials and therefore no other. We show that applying filtering to SFP evaluated material densiti
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Reports on the topic "Modified multi- variable A-function"

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Wenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel, and Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46261.

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In this paper, an automated framework is presented to perform helicopter rotor blade planform optimization. This framework contains three elements, Dakota, ParBlade, and RCAS. These elements are integrated into an environment control tool, Galaxy Simulation Builder, which is used to carry out the optimization. The main objective of this work is to conduct rotor performance design optimizations for forward flight and hover. The blade design variables manipulated by ParBlade are twist, sweep, and anhedral. The multi-objective genetic algorithm method is used in this study to search for the optim
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Gonzalez, Logan, Christopher Baker, Stacey Doherty, and Robyn Barbato. Ecological modeling of microbial community composition under variable temperatures. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48184.

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Soil microorganisms interact with one another within soil pores and respond to external conditions such as temperature. Data on microbial community composition and potential function are commonly generated in studies of soils. However, these data do not provide direct insight into the drivers of community composition and can be difficult to interpret outside the context of ecological theory. In this study, we explore the effect of abiotic environmental variation on microbial species diversity. Using a modified version of the Lotka-Volterra Competition Model with temperature-dependent growth ra
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Mazzoni, Silvia, Nicholas Gregor, Linda Al Atik, Yousef Bozorgnia, David Welch, and Gregory Deierlein. Probabilistic Seismic Hazard Analysis and Selecting and Scaling of Ground-Motion Records (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/zjdn7385.

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This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER) and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that
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Spencer, Thomas E., Elisha Gootwine, Arieh Gertler, and Fuller W. Bazer. Placental lactogen enhances production efficiency in sheep. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7586543.bard.

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The key objectives of this BARD project were to: (1) study long-term effects of immunization of prepubertal ewes against recombinant ovine placental lactogen (roPL) on subsequent birth weights of their lambs and their milk production; (2) optimize the anti-roPL immunization protocol using adjuvant preparations acceptable to producers and regulatory agencies; and (3) determine the physiological mechanism(s) whereby immunization against oPL increases fetal growth and development and mammogenesis. These objectives were based on key findings from a previous BARD project that: (a) immunization of e
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Raymond, Kara, Laura Palacios, Cheryl McIntyre, and Evan Gwilliam. Status of climate and water resources at Chiricahua National Monument, Coronado National Memorial, and Fort Bowie National Historic Site: Water year 2019. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293370.

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Climate and hydrology are major drivers of ecosystems. They dramatically shape ecosystem structure and function, particularly in arid and semi-arid ecosystems. Understanding changes in climate, groundwater, and water quality and quantity is central to assessing the condition of park biota and key cultural resources. The Sonoran Desert Network collects data on climate, groundwater, and surface water at 11 National Park Service units in southern Arizona and New Mexico. This report provides an integrated look at climate, groundwater, and springs conditions at Chiricahua National Monument (NM), Co
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