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Статті в журналах з теми "Hydraulic engineering Linear programming"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Qi, Qing Lan, and Shao Xiong Zhang. "Nonlinear Regression Analysis for Programming and Engineering Application." Advanced Materials Research 846-847 (November 2013): 1080–83. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1080.

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Aiming at the calculating the flow of cutthroat flume in Hydraulic Engineering, the test data is processed through the nonlinear regression analysis program which is based on the principle of least square method. With 33 equations of various functions including linear, power function curve and exponential curve to be selected as the mathematical model, the regression analysis is taken through 33 equations. Comparing the regression coefficient from analysis, the optimal mathematical model is selected as the empirical formula, which has great significance in guiding the practical engineering.

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2

Han, Bin, and Hongyan Gao. "Linear Parameter-Varying Model Predictive Control for Hydraulic Wind Turbine." Actuators 11, no. 10 (October 12, 2022): 292. http://dx.doi.org/10.3390/act11100292.

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Wind speed uncertainty and measurement noise affect the control effect in hydraulic wind turbine systems. This paper proposes a model predictive control (MPC) method with a dynamic Kalman filter (KF) based on a linear parameter-varying (LPV) model to address this problem. First of all, the LPV model for a nonlinear system of a hydraulic wind turbine is established using function substitution. Then, a LPV-based KF is introduced into the MPC to provide more precise estimated results and improve the anti-interference ability of the system. According to the current condition of the hydraulic wind turbine, the method updates the Kalman state estimator at each sampling instant and computes the optimal control input by solving a quadratic programming (QP) optimization problem. The performance and the efficiency of the proposed method is validated in simulation and compared with other methods.

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3

Zhang, Ming Zhe, Wei Wang, Dong Ning Su, Kang Min Zhong, and Zhi Ming Sui. "Mechanical-Electronic-Hydraulic Integration: Light Load Linear Reciprocating Motion Device Having Variable Frequency, Displacement and Velocity." Advanced Materials Research 279 (July 2011): 377–81. http://dx.doi.org/10.4028/www.scientific.net/amr.279.377.

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The light load linear reciprocating motion device driven by a small-size pneumatic cylinder is most economical, but its velocity and location precision is not good. When substituting the drive for small-size hydraulic cylinder, the significant shortcoming is environmental pollution. If the motion is achieved through rolling screw-nut mechanism driven by stepping motor, the space layout is very inconvenient. A light load linear reciprocating motion device integrating mechanical, electronic and hydraulic technology is designed. In this device, the motion is achieved through short-stroke rolling screw-nut mechanism driven by stepping motor, and then amplified by a splendid internal reflux area effect stroke amplifier. This device has the following noticeable advantages: (1) The location of output hydraulic cylinder is as convenient as common pneumatic or hydraulic cylinder. (2) The frequency, displacement and velocity of reciprocating motion can be altered convenient by programming. (3) Higher position precision. (4) The hydraulic fluid in the device is enclosed, so there is no environmental pollution causing by oil leakage and volatilization.

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4

Saad, João Carlos Cury, and Miguel A. Mariño. "DESIGN OF MICROIRRIGATION SYSTEMS IN SLOPING LANDS USING LINEAR PROGRAMMING." IRRIGA 7, no. 3 (December 13, 2002): 214–25. http://dx.doi.org/10.15809/irriga.2002v7n3p214-225.

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DESIGN OF MICROIRRIGATION SYSTEMS IN SLOPING LANDSUSING LINEAR PROGRAMMING[1] João CarlosCury SaadDepartment of Rural Engineering, College of Agricultural Sciences, São Paulo State University, P.O. 237, CEP 18603-970, Botucatu, SP. E-mail: joaosaad@fca.unesp.brMiguel A. MariñoDepartment of Land, Air and Water Resources and Department of Civil & Environmental Engineering, University of California, Davis, CA 95616, USA. E-mail: mamarino@ucdavis.edu 1 Summary When the area to be irrigated has a high slope gradient in the manifold line direction, an option is to use a tappered pipeline to reduce pipe costs and keep pressure head variations within desired limits. The purpose of this paper was to develop a linear programming model to design a microirrigation system with tappered manifold lines in downhill condition, minimizing the equivalent annual cost of hydraulic network and the energy annual cost, and assuring that the maximum variation in the pressure head previously established will be observed. The input data are: irrigation system layout, cost of all hydraulic network components and energy cost. The output are: equivalent annual cost, pipeline diameter in each line of the system, pressure head in each node, and total operating pressure head. To illustrate its capability, the model was applied in a citrus orchard in Sao Paulo State, Brazil. The model proved to be efficient in the design of the irrigation system in terms of emission uniformity desired. The pumping annual cost must be considered in the microirrigation system design because it yields a lower total annual cost when compared with the same alternative without that cost. Keywords: linear programming, optimization, slope land, micro irrigation SAAD, J. C. C.; MARIÑO, M. A. DIMENSIONAMENTO DE SISTEMAS DE IRRIGAÇÃO POR MICROASPERSÃO EM ÁREAS COM DECLIVIDADE UTILIZANDO PROGRAMAÇÃO LINEAR 2 Resumo Quando a área a ser irrigada apresenta um elevado gradiente de declive na direção das linhas de derivação, uma opção de dimensionamento é o uso de tubulações com vários diâmetros para economizar no custo e também para manter a variação de pressão dentro dos limites desejados. O objetivo deste trabalho foi desenvolver um modelo de programação linear para dimensionar sistemas de irrigação por microaspersão com linhas de derivação com mais de um diâmetro e operando em declive, visando a minimização do custo anualizado da rede hidráulica e do custo anual com energia elétrica, além de assegurar que a máxima variação de carga hidráulica na linha será respeitada. Os dados de entrada são: configuração da rede hidráulica do sistema de irrigação, custo de todos os componentes da rede hidráulica e custo da energia. Os dados de saída são: custo anual total, diâmetro da tubulação em cada linha do sistema, carga hidráulica em cada ponto de derivação e altura manométrica total. Para ilustrar a potencialidade do modelo desenvolvido, ele foi aplicado em um pomar de citros no Estado de São Paulo, Brasil. O modelo demonstrou ser eficiente no dimensionamento do sistema de irrigação quanto à obtenção da uniformidade de emissão desejada. O custo anual com bombeamento deve ser considerado no dimensionamento de sistemas de irrigação por microaspersão porque ele gera menores valores de custo anual total quando comparado com a mesma alternativa que não considera aquele custo. UNITERMOS: programação linear, otimização, declividade, microaspersão

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5

Creaco, Enrico, Feifei Zheng, and Giuseppe Pezzinga. "Minimum transport-driven algorithm for water distribution network partitioning." Journal of Water Supply: Research and Technology-Aqua 71, no. 1 (December 10, 2021): 120–38. http://dx.doi.org/10.2166/aqua.2021.143.

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Abstract This paper presents a novel algorithm driven by the minimization of the transport function for the partitioning of water distribution networks (WDNs) into district metered areas (DMAs). The algorithm is based on the linear programming (LP) embedded inside a multi-objective genetic algorithm, which enables engineering criteria, such as the minimization of the boundary pipes and the maximization of the uniformity of DMAs, to be considered in the partitioning. Furthermore, the application of the algorithm on the dual network topology based on segments and valves guarantees that configurations of DMAs that respect the real positions of isolation valves for WDN partitioning are obtained. After being described on a small WDN, it is successfully validated on a large size WDN, proving better performance than other algorithms in the scientific literature for the generation of engineeringly appealing DMA configurations, with almost identical hydraulic performance to the unpartitioned WDN.

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6

Zhang, Bin, Shuang Wang, Yuting Liu, and Huayong Yang. "Research on Trajectory Planning and Autodig of Hydraulic Excavator." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/7139858.

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As the advances in computer control technology keep emerging, robotic hydraulic excavator becomes imperative. It can improve excavation accuracy and greatly reduce the operator’s labor intensity. The 12-ton backhoe bucket excavator has been utilized in this research work where this type of excavator is commonly used in engineering work. The kinematics model of operation device (boom, arm, bucket, and swing) in excavator is established in both Denavit-Hartenberg coordinates for easy programming and geometric space for avoiding blind spot. The control approach is based on trajectory tracing method with displacements and velocities feedbacks. The trajectory planning and autodig program is written by Visual C++. By setting the bucket teeth’s trajectory, the program can automatically plan the velocity and acceleration of each hydraulic cylinder and motor. The results are displayed through a 3D entity simulation environment which can present real-time movements of excavator kinematics. Object-Oriented Graphics Rendering Engine and skeletal animation are used to give accurate parametric control and feedback. The simulation result shows that a stable linear autodig can be achieved. The errors between trajectory planning command and simulation model are analyzed.

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7

Al-Khayat, Rasha Hayder, Ameer A. Kadhim, Maher A. R. Sadiq Al-Baghdadi, and Muhannad Al-Waily. "Flow parameters effect on water hammer stability in hydraulic system by using state-space method." Open Engineering 12, no. 1 (January 1, 2022): 215–26. http://dx.doi.org/10.1515/eng-2022-0014.

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Abstract The water hammer (WH) phenomenon is one of the most dangerous phenomena in hydraulic systems, especially pipelines, gates, and locks on these lines. There are many analytical solutions to deal with the WH phenomenon, including the treatment of friction losses, but most solutions use linear arithmetic operations, which depart from the actual situation of the WH phenomenon. Also, the methods currently used are most challenging and complex and give imprecise results to treat the mentioned phenomenon. In order to reach a state closer to the situation of losses and stability of the hydraulic system that is close to the actual state, basic partial differential equations were used, taking into account the losses generated in the hydraulic system through mathematical conversion. MATLAB was used to program and solve equations, find mathematical results, draw system diagrams, and simulate a WH wave. Various parameters were investigated to show the stability behavior of the hydraulic system by using state-space Method. So, the effect of the pressure, flow rate, diameter, and fluid type were investigated to calculate the stability of the hydraulic system. The results evaluated showed that the system’s oscillation is less at lower pressure, and the stability period is longer than that at high pressures. In addition, the system needs a longer time to stabilize at the low flow speed due to pressure waves that occur. The stability of the system affected by the WH was examined, and the effect of fluid-specific variables such as velocity, pressure, and type of fluid in addition to the diameter of the pipe and their impact on WH stability was found. The behavior of stability at the WH is nonlinear, and that is why the linear and nonlinear parts of the governing equations of the structure are used to find system through the state-space method through programming and simulation of MATLAB program.

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8

Méthot, Jean-François, and Martin Pleau. "The effects of uncertainties on the control performance of sewer networks." Water Science and Technology 36, no. 5 (September 1, 1997): 309–15. http://dx.doi.org/10.2166/wst.1997.0225.

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The effects of uncertainties on the performance of a Certainty Equivalent Open Loop Feedback Control approach is investigated throughout simulations of the Quebec Urban Community Sewer Network. The optimization algorithm is based on nonlinear programming with the peculiarity that all the constraints are linear. The hydraulic routine is a Linear Time Invariant (LTI) model associated to a Kalman filter. Preliminary results show the benefit of adding a filtering action to guarantee robust performance in the presence of measurement errors and model mismatch. The selected control scheme seems to be a good compromise between the short computational time required for Real Time Control applications and the high performance expected in the presence of uncertainties.

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9

Onen, Fevzi. "GEP PREDICTION OF SCOUR AROUND A SIDE WEIR IN CURVED CHANNEL." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 22, no. 3 (March 17, 2014): 161–70. http://dx.doi.org/10.3846/16486897.2013.865632.

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Side-weirs have been widely used in hydraulic and environmental engineering applications. Side-weir is known as a lateral intake structure, which are significant parts of the distribution channel in irrigation, land drainage, and urban sewerage system, by flow diversion device. Local scour involves the removal of material around piers, abutments, side-weir, spurs, and embankments. Clearwater scour depth based on five dimensional parameters: approach flow velocity (V1/Vc), water head ratio (h1–p)/h1, side-weir length (L/r), side-weir crest height (b/p) and angle of bend θ. The aim of this study is to develop a new formulation for prediction of clear-water scour of side-weir intersection along curved channel using Gene Expression Programming (GEP) which is an algorithm based on genetic algorithms (GA) and genetic programming (GP). In addition, the explicit formulations of the developed GEP models are presented. Also equations are obtained using multiple linear regressions (MLR) and multiple nonlinear regressions (MNRL). The performance of GEP is found more influential than multiple linear regression equation for predicting the clearwater scour depth at side-weir intersection along curved channel. Multiple nonlinear regression equation was quite close to GEP, which serve much simpler model with explicit formulation.

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10

Nie, S. L., Y. P. Li, X. Y. Shi, G. H. Huang, and B. Hu. "An IPINP model for the assessment of filter allocation and replacement strategies in a hydraulic contamination control system under uncertainty." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 4 (December 11, 2008): 999–1015. http://dx.doi.org/10.1243/09544062jmes1074.

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An interval-parameter integer non-linear programming (IPINP) model is developed for the assessment of filter allocation and replacement strategies in a hydraulic contamination control system under uncertainty. The IPINP can handle uncertainties expressed as interval values that exist in the left- and right-hand sides of constraints as well as in the objective function. A piecewise linearization approach is proposed to solve the IPINP model, which has advantages in identifying global optimum and is associated with low computational efforts for an uncertain non-linear programme. The developed method has been applied to a case of planning filter allocation and replacement strategies under uncertainty for a fluid power system (FPS) with a single circuit. Three different contaminant ingression/generation rates are examined based on several filter-installation scenarios. The combination of low-costing suction and return filters exhibits excellent contaminant resistibility along with the optimum replacement periods of filter elements and operation costs under the low and medium contaminant ingression/generation level. The solutions can be used for generating a range of decision alternatives and thus help the decision-makers to identify desired filter allocation and replacement plan with a minimized operation cost and a minimized system-failure risk for FPS.

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11

Price, Eyal, and Avi Ostfeld. "Iterative LP water system optimal operation including headloss, leakage, total head and source cost." Journal of Hydroinformatics 15, no. 4 (February 21, 2013): 1203–23. http://dx.doi.org/10.2166/hydro.2013.124.

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Linear water balance optimal operation models are common with relative short solution times but suffer from a lack of certainty whether the given solution is at all hydraulically feasible. Introducing hydraulic headloss, water leakage and changing pump energy consumption, effect the resulting system optimal operation but also create a non-linear problem due to the convex relation between flow, headloss, water leakage and total head. This study utilizes a methodology published by the authors for linearization of convex or concave equations. An iterative linear programming (LP) minimal cost optimal operation supply model is solved including the Hazen–Williams headloss equation, pressure related water leakage equation, changing pump energy consumption and source cost. The model is demonstrated using an example application. ‘Greater than’ or ‘less than’ water head constraints at nodes may force the system to maintain certain water levels in water tanks reducing the available operating volume forcing pumping stations to operate in peak tariff periods as less storage is available in low tariff periods. Operationally, reducing water leakage may be achieved by reducing water heads along the system by means of shifting pump operation periods and maintaining low water levels in water tanks. Source costs may serve as penalties or rewards discouraging or encouraging the use of certain water sources.

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12

Madhuri, R., Y. S. L. Sarath Raja, and K. Srinivasa Raju. "Simulation-optimization framework in urban flood management for historic and climate change scenarios." Journal of Water and Climate Change 13, no. 2 (December 21, 2021): 1007–24. http://dx.doi.org/10.2166/wcc.2021.436.

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Abstract A simulation-optimization framework is established by integrating Hydrologic Engineering Center Hydraulic Modeling System (HEC-HMS) for computation of runoff, siting tool EPA System for Urban Storm-water Treatment and Analysis INtegration (EPA-SUSTAIN) for placement of Best Management Practices (BMPs), and Binary Linear Integer Programming (BLIP) for runoff reduction. The framework is applied to an urban catchment, namely Greater Hyderabad Municipal Corporation (GHMC). The rainfall-runoff analysis was conducted for extreme rainfalls for historic (2016) and future events in 2050 and 2064 under Representative Concentration Pathways (RCPs) 6.0 and 8.5. The simulation-optimization approach in the historic scenario yielded 495,607 BMPs occupying 76.99 km2 resulting in runoff reduction of 21.54 mm (198.76–177.22 mm). Achieved runoff reduction is 38.72 (428.35–389.63 mm) and 55.03 (602.65–547.62 mm), respectively, for RCPs 6.0 and 8.5, which could meet the water demands of GHMC for 10.33 and 11.53 days. Impacts of 10 different BMP configurations of varying costs (10–70%) and pollutant load reductions (0–3%) on runoff reduction are accomplished as part of sensitivity analysis.

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13

Hagos, Medhanie, Donghwi Jung, and Kevin E. Lansey. "Optimal meter placement for pipe burst detection in water distribution systems." Journal of Hydroinformatics 18, no. 4 (February 18, 2016): 741–56. http://dx.doi.org/10.2166/hydro.2016.170.

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Pipe bursts in water distribution systems (WDS) must be rapidly detected to minimize the loss of system functionality and recovery time. Pipe burst is the most common failure in WDS. It results in water loss out of the system, increased head losses, and low pressure at the customers' taps. Therefore, effective and efficient detection of pipe bursts can improve system resilience. To this end, this study proposes an optimal meter placement model to identify meter locations that maximize detection effectiveness for a given number of meters and type of meter. The linear programming model is demonstrated on a modified Austin EPANET hydraulic network. Receiver operating characteristic (ROC) curves for alternative pressure and flow meters are applied to investigate the relationship between the level of available information and pipe burst detection effectiveness. The optimal sensor locations were distinctly different depending on the type of meter and the objective to be considered. The ROC curves for alternative pressure and pipe flow meters showed that pipe flow meters are vulnerable to false alarms, and that using many pipe flow meters could detect all pipe bursts. Pressure meters could detect up to 82% of the burst events.

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14

Alvisi, S., M. Franchini, M. Gavanelli, and M. Nonato. "Near-optimal scheduling of device activation in water distribution systems to reduce the impact of a contamination event." Journal of Hydroinformatics 14, no. 2 (August 4, 2011): 345–65. http://dx.doi.org/10.2166/hydro.2011.147.

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This paper proposes an innovative procedure for identifying, in the event of accidental or intentional contamination of a water distribution system, the optimal scheduling of activation of a pre-selected set of flow control devices which will serve to minimise the volume of contaminated water consumed by users after the detection of the contaminant in the system. The constraints are represented by the number of available response teams and the maximum speed at which these teams can travel along the roadway. The optimal scheduling of device activation is sought by means of an optimisation process based on a genetic algorithm (GA) which interacts with a mixed integer linear programming (MILP) solver in order to ensure the feasibility of the scheduling identified. The optimisation procedure is coupled to a hydraulic and quality simulator, which enables a calculation of the volumes of contaminated water consumed by users, and a dynamic cache memory, which, by storing information on the system's behaviour as the optimisation process progresses, serves to limit the computational times. The application of the procedure to a highly complex real water distribution system shows that the optimisation process is robust and efficacious and produces a smaller volume of contaminated water consumed by the users than when the activation of all the devices was completed in the shortest amount of time.

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15

Жулай, Юрий Алексеевич, Юрий Александрович Кваша та Алексей Дмитриевич Николаев. "СРАВНИТЕЛЬНЫЙ АНАЛИЗ МЕТОДОВ РАСЧЁТА АМПЛИТУД КОЛЕБАНИЙ ДАВЛЕНИЯ, СОЗДАВАЕМЫХ КАВИТАЦИОННЫМ ГЕНЕРАТОРОМ". Aerospace technic and technology, № 3 (27 червня 2018): 58–68. http://dx.doi.org/10.32620/aktt.2018.3.08.

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One of the devices implementing energy-saving technologies is a Venturi tube of special geometry, called the cavitations generator of fluid pressure oscillation (hereinafter referred to as the generator). It converts the steady-state flow of process fluid into a discrete-impulse flow of increased power and has the simplicity of manufacturing that lacks moving parts, does not require additional energy sources and seamlessly fits into existing equipment. The practical use of the generator in engineering, metallurgy, the chemical industry and in mining, can reduce the specific energy consumption by up to 50%. The purpose of this paper is a comparative analysis of the existing methods for calculating the amplitudes of pressure oscillations generated by the generator and the choice of a method that makes it possible to determine the amplitudes with an acceptable accuracy. The technique is based on the determination by various computation methods of peak-to-peak values of the fluid pressure from the cavitations flow regime. The results are presented in the form of calculated dependences of the of peak-to-peak oscillation values of the fluid pressure on the value of the cavitations parameter and their comparison with the experimental data. Scientific novelty. It is established that the method using the finite-element discretization of the generator and outlet pipeline construction with fluid moving in it satisfactorily describes the parameters of the oscillatory process in various elements of the hydraulic system. However, the model requires some correction in the part of the description of the basic dependencies describing the dynamics of the cavitations flow in the generator, if it is necessary to more agreement with the experimental data. This model is convenient for carrying out multi-purpose research works, including experimental data correction, but its application for engineering calculations causes certain difficulties in the part of programming and the length of preparation for the calculations. The refined linear mathematical model of the generator makes it possible to obtain a quantitative agreement between the experimental and theoretical dependences of the amplitude of fluid pressure oscillations on the cavitations parameter by engineering methods. The practical significance of the results obtained is that the refined linear mathematical model of the generator makes it possible to establish at the design stage a rational regime of the hydroimpulse action of the generator (the peak-to-peakvalues of fluid pressure oscillations) at a certain pressure in the process pipeline of an industrial plant and does not require additional experimental studies

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16

Patry, G. G., and M. W. Barnett. "Innovative Computing Techniques for Development of an Integrated Computer Control System." Water Science and Technology 26, no. 5-6 (September 1, 1992): 1365–74. http://dx.doi.org/10.2166/wst.1992.0579.

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Over the past decade there has been a shift in emphasis from design and construction of wastewater treatment facilities to operation. Poor plant performance, high costs and damage to the environment have resulted from operational problems. Wastewater treatment consists of a complex sequence of inter-dependent biological, physical and chemical processes subject to time-varying hydraulic and organic load conditions. Wastewater treatment process operation and control is a knowledge intensive task. Research on improving operation and control has centred on identifying important mechanisms responsible for observed behaviour and modelling both the process and optimum ways of operating the process. These models have served as useful tools for improving operation and control. Many different approaches have been used, including deterministic modelling, stochastic modelling and, more recently, linguistic modelling. Complex mathematical models of wastewater treatment processes consisting of large numbers of non-linear differential equations can be constructed using tools such as the General Purpose Simulator (GPS) and, given appropriate data, model parameters can be evaluated and updated using existing optimization routines. Object oriented programming (OOP) and a model based reasoning (MBR) approach provides a useful framework for development of deep-knowledge expert systems (ES). Data-driven modelling methods, including both time series analysis and artificial neural network (ANN) techniques, can also be employed to make maximum use of information contained in process data. Each of these model types is a necessary component of a computer system for operational control of wastewater treatment but, in isolation, none are sufficient for making the system robust. An integrated environment for combining these techniques has been developed for this purpose and the basis for its development is described.

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17

Berghout, Brendan L., and George Kuczera. "Network Linear Programming as Pipe Network Hydraulic Analysis Tool." Journal of Hydraulic Engineering 123, no. 6 (June 1997): 549–59. http://dx.doi.org/10.1061/(asce)0733-9429(1997)123:6(549).

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18

Lu, Chen Yin, Jian Feng Ma, Xiao Hua Wang, and Xin Rong Shen. "Hydraulic Balance Optimization Calculation and Experimental Research on Model of Fluid Network System." Applied Mechanics and Materials 300-301 (February 2013): 681–88. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.681.

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By using the fluid network installed flow control valves as the research object, we establish fluid network system resistance model and calculate the hydraulic balance optimal operation by using the linear programming optimization method and characteristic curve fitting of pump. In a specially designed structure of the experimental platform, the feasibility and accuracy of hydraulic balance are tested and verified. Calculation and experimental results show that fluid network system is optimized by the linear programming. The flow control valve combined with pump frequency conversion technology have good effect on energy saving.

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19

BITTNER, JURAJ, and MIROSLAV CHMATIL. "HYDRAULIC PRESSURE AMPLIFIERS INTEGRATED WITHIN THE HYDRAULIC LINEAR ACTUATORS." MM Science Journal 2022, no. 3 (September 27, 2022): 5791–94. http://dx.doi.org/10.17973/mmsj.2022_10_2022076.

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The rated pressure of common hydraulic pumps varies depending on their principle and geometric displacement but generally doesn’t significantly exceed 400bar threshold. While this is perfectly adequate for most industrial and off-highway applications, there are applications requiring very high force that cannot be achieved by the linear actuator supplied with common pump pressure due to the space constraints placed upon the actuator. Increasing the pressure by means of pressure amplification resolves this problem. This presentation deals with principle, design considerations, applications, and benefits of hydraulic cartridge pressure amplifiers integrated directly into the hydraulic linear actuators and developed by PistonPower. The resulting linear actuator with integrated pressure amplifier thus features higher power density compared to the conventional hydraulic linear actuators.

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20

Roy, Asim, and Somnath Mukhopadhyay. "Pattern Classification Using Linear Programming." ORSA Journal on Computing 3, no. 1 (February 1991): 66–80. http://dx.doi.org/10.1287/ijoc.3.1.66.

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21

Eppstein, David. "Dynamic Three-Dimensional Linear Programming." ORSA Journal on Computing 4, no. 4 (November 1992): 360–68. http://dx.doi.org/10.1287/ijoc.4.4.360.

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22

Bixby, Robert E. "Commentary—Progress in Linear Programming." ORSA Journal on Computing 6, no. 1 (February 1994): 15–22. http://dx.doi.org/10.1287/ijoc.6.1.15.

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23

Belevitin, Andrey A., and Victoria G. Ryzhkova. "Identification of gas pipelines hydraulic efficiency coefficients." E3S Web of Conferences 102 (2019): 03002. http://dx.doi.org/10.1051/e3sconf/201910203002.

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Анотація:

This study investigates the identification of non-measureable parameters of the gas transmission system (gas pipelines hydraulic efficiency coefficients). The problem statement and solution procedure are presented. The original problem is divided into two interrelated components: the nonlinear optimization problem and the temperature calculation. The nonlinear optimization problem is solved using the Successive Linear Programming (SLP) method. The problems of insufficiency of measurements and multiplicity of solutions are described, and appropriate approaches are proposed (introduction of additional subcriteria and uniting gas pipelines into groups). Identification of gas pipelines hydraulic efficiency coefficients for gas transmission systems of various complexity has been performed using the given algorithm.

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24

Ji, Hui, Songlin Nie, and Yeqing Huang. "An interval-fuzzy two-stage stochastic programming method for filter management of hydraulic systems." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 15 (December 9, 2014): 2788–809. http://dx.doi.org/10.1177/0954406214563737.

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An interval-fuzzy two-stage stochastic programming model for filter management of hydraulic system under uncertainties is proposed in this paper. The interval-fuzzy two-stage stochastic programming model integrates the two-stage stochastic programming, fuzzy programming, and interval parameter nonlinear programming into an optimization model of contamination control in hydraulic system. For a typical hydraulic system, it can be used for expressing the uncertainties existed in the purchase cost of filters, contamination ingression and generation rates, and contamination-holding capacity as probability functions, interval numbers, and fuzzy sets. The developed method is applied to examining the decisions on the adoption of bypass filter and selection of filters within multi-segments, multi-period, and multi-option context. All potential scenarios of filters management policy associated with different economic penalties, objectives, and reliability of system are analyzed. The results of the illustrative example show that the reasonable solutions are generated, including binary and continuous variables which help the decision maker identify optimal strategies for filter allocation and selection, planning the adoption of bypass filter under different working conditions.

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25

Pan, Victor, and John Reif. "Efficient parallel linear programming." Operations Research Letters 5, no. 3 (August 1986): 127–35. http://dx.doi.org/10.1016/0167-6377(86)90085-4.

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26

Lustig, Irvin J., and Edward Rothberg. "Gigaflops in linear programming." Operations Research Letters 18, no. 4 (February 1996): 157–65. http://dx.doi.org/10.1016/0167-6377(96)83270-6.

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27

Garaix, T., M. Gondran, P. Lacomme, E. Mura, and N. Tchernev. "Workforce Scheduling Linear Programming Formulation." IFAC-PapersOnLine 51, no. 11 (2018): 264–69. http://dx.doi.org/10.1016/j.ifacol.2018.08.289.

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28

Toloo, Mehdi. "An Equivalent Linear Programming Form of General Linear Fractional Programming: A Duality Approach." Mathematics 9, no. 14 (July 6, 2021): 1586. http://dx.doi.org/10.3390/math9141586.

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Linear fractional programming has been an important planning tool for the past four decades. The main contribution of this study is to show, under some assumptions, for a linear programming problem, that there are two different dual problems (one linear programming and one linear fractional functional programming) that are equivalent. In other words, we formulate a linear programming problem that is equivalent to the general linear fractional functional programming problem. These equivalent models have some interesting properties which help us to prove the related duality theorems in an easy manner. A traditional data envelopment analysis (DEA) model is taken, as an instance, to illustrate the applicability of the proposed approach.

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29

Chen, Jin Song, and Wen Bo Cheng. "Linear Analysis of Hydraulic Control System of an Electric-Hydraulic Proportion." Advanced Materials Research 898 (February 2014): 582–85. http://dx.doi.org/10.4028/www.scientific.net/amr.898.582.

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1780 mm hot rolling transport chain electro-hydraulic proportional hydraulic control system of Shanghai Meishan Iron and Steel Co., LTD. Of Baosteel is taken as an example in this paper. The features, the controlling method, the electro-hydraulic proportional directional valve selection and the decision of the specific circuits of this kind of metallurgical equipment are introduced in this paper.

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30

Baek, Wonjang, and James P. Ignizio. "Pattern classification via linear programming." Computers & Industrial Engineering 25, no. 1-4 (September 1993): 393–96. http://dx.doi.org/10.1016/0360-8352(93)90304-g.

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31

Rajasekera, J. R., and S. C. Fang. "On the convex programming approach to linear programming." Operations Research Letters 10, no. 6 (August 1991): 309–12. http://dx.doi.org/10.1016/0167-6377(91)90001-6.

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32

Chetwynd, D. G. "Applications of Linear Programming to Engineering Metrology." Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 199, no. 2 (May 1985): 93–100. http://dx.doi.org/10.1243/pime_proc_1985_199_052_02.

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33

Kutateladze, S. S. "Linear programming and Kantorovich spaces." Journal of Applied and Industrial Mathematics 1, no. 2 (June 2007): 137–41. http://dx.doi.org/10.1134/s1990478907020019.

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34

Jiang, Xue, Wen-Jun Zeng, A. Yasotharan, Hing Cheung So, and Thiagalingam Kirubarajan. "Robust Beamforming by Linear Programming." IEEE Transactions on Signal Processing 62, no. 7 (April 2014): 1834–49. http://dx.doi.org/10.1109/tsp.2014.2304438.

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35

Levy, Robert. "Linear programming in prestressed trusses." Computers & Structures 33, no. 2 (January 1989): 421–25. http://dx.doi.org/10.1016/0045-7949(89)90013-8.

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36

Aboelmagd, Yasser M. R. "Linear programming applications in construction sites." Alexandria Engineering Journal 57, no. 4 (December 2018): 4177–87. http://dx.doi.org/10.1016/j.aej.2018.11.006.

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37

Hartvigsen, David. "Recognizing Voronoi Diagrams with Linear Programming." ORSA Journal on Computing 4, no. 4 (November 1992): 369–74. http://dx.doi.org/10.1287/ijoc.4.4.369.

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38

Astola, H., and I. Tabus. "Sharpening the linear programming bound for linear Lee codes." Electronics Letters 51, no. 6 (March 2015): 492–94. http://dx.doi.org/10.1049/el.2014.4300.

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39

GALLEGO, J. A. JAEN, J. JUAN RUIZ, F. J. PRIETO FERNANDEZ, and A. SALAMANCA FERNANDEZ. "Computer Assisted Instruction in Linear Programming." European Journal of Engineering Education 10, no. 3-4 (September 1985): 329–38. http://dx.doi.org/10.1080/03043798508939264.

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40

Diaby, Abdullatif Lacina, Lee Luong, Amer Yousef, and Jonas Addai Mensah. "A Review of Optimal Scheduling Cleaning of Refinery Crude Preheat Trains Subject to Fouling and Ageing." Applied Mechanics and Materials 148-149 (December 2011): 643–51. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.643.

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Refinery crude preheat train (CPHT) is prone to fouling and ageing effects due to the complexity of processed crude feedstock preheated prior to distillation. This has serious implications on the thermal and hydraulic performance of the CPHT. As a result, efficient performance of crude preheat trains is compromised and as such, optimal scheduling cleaning operations are required to restore performance. In this paper, we attempt to review the subject of fouling/ageing control and mitigation in crude preheat train network by optimal scheduling cleaning approach. Three prominent optimisation techniques/models namely Mathematical Models (Mixed integer linear programming (MILP) and Mixed integer non-linear programming (MINLP) models); Artificial Intelligence (AI) Models; and Heuristic Techniques used for achieving optimal cleaning are outlined.

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41

Djordjevic, Vladimir, Vladimir Stojanovic, Hongfeng Tao, Xiaona Song, Shuping He, and Weinan Gao. "Data-driven control of hydraulic servo actuator based on adaptive dynamic programming." Discrete and Continuous Dynamical Systems - S 15, no. 7 (2022): 1633. http://dx.doi.org/10.3934/dcdss.2021145.

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<p style='text-indent:20px;'>The hydraulic servo actuators (HSA) are often used in the industry in tasks that request great powers, high accuracy and dynamic motion. It is well known that HSA is a highly complex nonlinear system, and that the system parameters cannot be accurately determined due to various uncertainties, inability to measure some parameters, and disturbances. This paper considers control problem of the HSA with unknown dynamics, based on adaptive dynamic programming via output feedback. Due to increasing practical application of the control algorithm, a linear discrete model of HSA is considered and an online learning data-driven controller is used, which is based on measured input and output data instead of unmeasurable states and unknown system parameters. Hence, the ADP based data-driven controller in this paper requires neither the knowledge of the HSA dynamics nor exosystem dynamics. The convergence of the ADP based control algorithm is also theoretically shown. Simulation results verify the feasibility and effectiveness of the proposed approach in solving the optimal control problem of HSA.</p>

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42

Buzzi-Ferraris, Guido. "Linear Programming with the Attic Method." Industrial & Engineering Chemistry Research 50, no. 9 (May 4, 2011): 4858–78. http://dx.doi.org/10.1021/ie1010417.

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43

Lunglmayr, M., J. Berkmann, and M. Huemer. "Combined linear programming/belief propagation decoder." Electronics Letters 44, no. 12 (2008): 751. http://dx.doi.org/10.1049/el:20081200.

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44

Villasana, R., L. L. Garver, and S. J. Salon. "Transmission Network Planning Using Linear Programming." IEEE Power Engineering Review PER-5, no. 2 (February 1985): 36–37. http://dx.doi.org/10.1109/mper.1985.5528872.

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45

Bouchard, G., S. Girard, A. B. Iouditski, and A. V. Nazin. "Nonparametric Frontier Estimation by Linear Programming." Automation and Remote Control 65, no. 1 (January 2004): 58–64. http://dx.doi.org/10.1023/b:aurc.0000011690.13220.58.

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46

Gustafsson, Stig-Inge, and Björn G. Karlsson. "Linear programming optimization in CHP networks." Heat Recovery Systems and CHP 11, no. 4 (January 1991): 231–38. http://dx.doi.org/10.1016/0890-4332(91)90068-f.

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47

Levina, Tatsiana, Yuri Levin, Jeff McGill, and Mikhail Nediak. "Linear programming with online learning." Operations Research Letters 35, no. 5 (September 2007): 612–18. http://dx.doi.org/10.1016/j.orl.2006.10.008.

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48

Douglass, Tom R. "Linear Programming Optimizes Unit Negotiations." Journal of Petroleum Technology 38, no. 03 (March 1, 1986): 330–36. http://dx.doi.org/10.2118/13766-pa.

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49

Abass, Samir A. "An interval number programming approach for bilevel linear programming problem." International Journal of Management Science and Engineering Management 5, no. 6 (January 2010): 461–64. http://dx.doi.org/10.1080/17509653.2010.10671138.

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50

Huertas, J. L., A. Rueda, A. Rodriguez-Vazquez, and L. O. Chua. "Canonical non-linear programming circuits." International Journal of Circuit Theory and Applications 15, no. 1 (January 1987): 71–77. http://dx.doi.org/10.1002/cta.4490150106.

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