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Статті в журналах з теми "Optimum Design Methods"

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Автор: Grafiati

Опубліковано: 6 вересня 2023

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1

Teo, Jing Lu, and Krishnasamy T. Selvan. "On the optimum pyramidal-horn design methods." International Journal of RF and Microwave Computer-Aided Engineering 16, no. 6 (November 2006): 561–64. http://dx.doi.org/10.1002/mmce.20177.

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2

Bekdaş, Gebrail, Celal Cakiroglu, Kamrul Islam, Sanghun Kim, and Zong Woo Geem. "Optimum Design of Cylindrical Walls Using Ensemble Learning Methods." Applied Sciences 12, no. 4 (February 18, 2022): 2165. http://dx.doi.org/10.3390/app12042165.

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The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design significantly. The current study uses a dataset of 7744 optimum design configurations for a cylindrical water tank. Each of them was obtained by using the harmony search algorithm. The database used contains unique combinations of height, radius, total cost, material unit cost, and corresponding wall thickness that minimize the total cost. It was used to create ensemble learning models such as Random Forest, Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Gradient Boosting (CatBoost). Generated machine learning models were able to predict the optimum wall thickness corresponding to new data with high accuracy. Using SHapely Additive exPlanations (SHAP), the height of a cylindrical wall was found to have the greatest impact on the optimum wall thickness followed by radius and the ratio of concrete unit cost to steel unit cost.

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3

Averchenkov, Andrei, and Dmitriy Orekhov. "HYDRAULIC STATION OPTIMUM DESIGN SELECTION BASED ON MORPHOLOGICAL METHODS." Proceedings of Irkutsk State Technical University 20, no. 12 (December 2016): 80–90. http://dx.doi.org/10.21285/1814-3520-2016-12-80-90.

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4

Bauer, Irene, Hans Georg Bock, Stefan Körkel, and Johannes P. Schlöder. "Numerical methods for optimum experimental design in DAE systems." Journal of Computational and Applied Mathematics 120, no. 1-2 (August 2000): 1–25. http://dx.doi.org/10.1016/s0377-0427(00)00300-9.

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5

Arora, J. S., and P. B. Thanedar. "Computational methods for optimum design of large complex systems." Computational Mechanics 1, no. 3 (1986): 221–42. http://dx.doi.org/10.1007/bf00272625.

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6

Alkhadashi, Abdalhakem, Fouad Mohammad, Rasheedah Olamide Zubayr, Hynda Aoun Klalib, and Piotr Balik. "Multi-objective design optimisation of steel framed structures using three different methods." International Journal of Structural Integrity 13, no. 1 (November 1, 2021): 92–111. http://dx.doi.org/10.1108/ijsi-07-2021-0080.

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PurposeThe optimality objectives are the structure weight and embodied energy as well as calculating the cost and embodied carbon of the resulting optimum options. Three optimality algorithms developed in MATLAB, namely, genetic algorithms (GA), particle swarm optimisation (PSO) and harmony search algorithm (HSA), were used for structural optimisation to compare the effectiveness of the algorithms. Two life-cycle stages were considered, production and construction stages, which include three boundaries: materials, transportation and erection. In the formulation of the optimum design problem, 107 universal steel beams (UKB) and 64 columns (UKC) sections were considered for the discrete design variables. The imposed behavioural constraints in the optimum design process were set according to the provision of Eurocode 3 (EC3). The study aims to find the optimum solution of 2D steel frames whilst considering weight and embodied energy, investigate the performance of the analysis integrated with MATLAB and provide three examples to which all these are applied to.Design/methodology/approachUndoubtedly, in structural engineering, the best design of any structure aims at the most economical and environmental option, without impairing the functional and its structural integrity. In the paper, multi-objective stochastic search methods are proposed for optimum design of three two-dimensional multi-story frames.FindingsResults showed that the optimised designs obtained by HSA are better than those found by the GA and PSO with an average difference of 16% from GA and PSO, where this difference increases at larger frame structures. It was, therefore, concluded that the integration of the analysis, design and optimisation methods employed in MATLAB can be effective in obtaining prompt optimum results during the decision-making stage.Research limitations/implicationsThere may be some possible limitations in the study. Due to the time constraints, only three meta-heuristic approaches were investigated, where more methods should be investigated to fully understand their effectiveness in multi-objective problems.Originality/valueInvestigating the performance of three optimisation methods in multi-objective problems developed in MATLAB. More importantly, developing optimisation models for evaluation of embodied energy, embodied carbon and cost for steel structures to assist designers, during the initial stages, to evaluate design decisions against their energy consumption and carbon impacts.

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7

Parsons, Michael G., and Randall L. Scott. "Formulation of Multicriterion Design Optimization Problems for Solution With Scalar Numerical Optimization Methods." Journal of Ship Research 48, no. 01 (March 1, 2004): 61–76. http://dx.doi.org/10.5957/jsr.2004.48.1.61.

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Most marine design problems involve multiple conflicting criteria, objectives, or goals. The most common definition of the multicriterion optimum is the Pareto optimum, which usually results in a set of solutions. Design teams, however, need to arrive at a single answer that provides an acceptable compromise solution within the Pareto set. Methods have been developed to solve multicriterion optimization problems using a number of related definitions of the compromise solution or "optimum" in the presence of multiple conflicting criteria. The most common of these definitions are reviewed and their solutions are formulated in a consistent form utilizing a preference function that will allow their solution using conventional scalar criterion numerical optimization methods. This approach permits the use and comparison of the various definitions of the multicriterion "optimum" with modest additional computation. The design team can use these results to guide its selection of the solution that best reflects their design intent in a particular case. A sixparameter, three-criterion, 14-to 16-constraint conceptual marine design optimization example adapted from the literature is presented to illustrate the use of this approach. The results for the various definitions of the multicriterion optimum for Panamax and post-Panamax bulk carriers are presented for comparison.

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8

TATEBAYASHI, Kazuo. "The Method for Optimum Design using CAE with Taguchi Methods." Journal of the Society of Mechanical Engineers 109, no. 1050 (2006): 380–82. http://dx.doi.org/10.1299/jsmemag.109.1050_380.

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9

Bavitz, Joseph F., and Prafull K. Shiromani. "Selection of Optimum Dissolution Test Methods in Dosage Form Design." Drug Development and Industrial Pharmacy 11, no. 4 (January 1985): 761–70. http://dx.doi.org/10.3109/03639048509057454.

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10

HAJELA, PRABHAT. "A LOOK AT TWO UNDERUTILIZED METHODS FOR OPTIMUM STRUCTURAL DESIGN." Engineering Optimization 11, no. 1-2 (April 1987): 21–30. http://dx.doi.org/10.1080/03052158708941033.

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11

Çerçevik, Ali Erdem, Özgür Avşar, and Oğuzhan Hasançebi. "Optimum design of seismic isolation systems using metaheuristic search methods." Soil Dynamics and Earthquake Engineering 131 (April 2020): 106012. http://dx.doi.org/10.1016/j.soildyn.2019.106012.

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12

Beyhan, Figen, and Meryem Alagoz. "Swot Analysis of Performance Based Optimum Building Envelope Design Methods." IOP Conference Series: Materials Science and Engineering 471 (February 23, 2019): 082040. http://dx.doi.org/10.1088/1757-899x/471/8/082040.

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13

TORKZADEH, P., J. SALAJEGHEH, and E. SALAJEGHEH. "EFFICIENT METHODS FOR STRUCTURAL OPTIMIZATION WITH FREQUENCY CONSTRAINTS USING HIGHER ORDER APPROXIMATIONS." International Journal of Structural Stability and Dynamics 08, no. 03 (September 2008): 439–50. http://dx.doi.org/10.1142/s0219455408002739.

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Presented herein are four different methods for the optimum design of structures subject to multiple natural frequency constraints. During the optimization process the optimum cross-sectional dimensions of elements are determined. These methods are robust and efficient in terms of the number of eigenvalue analyses required, as well as the overall computational time for the optimum design. A new third order approximate function is presented for the structural response quantities, as functions of the cross-sectional properties, and four different methods for the optimum design are defined based on this approximate function. The main features of the proposed function are that only the diagonal terms of higher order derivative matrices are employed, and these derivatives are established by the available first order derivatives. The first order exact derivatives are obtained from a sensitivity analysis at the previous design points. We show that this approximate function creates high quality approximations of the structural responses, such as the frequencies. Examples are presented and the efficiency and quality of the proposed methods are discussed and compared.

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14

KOYANAGI, Shiro. "Overall optimum design methods of the air spring vibration isolation system." Transactions of the Japan Society of Mechanical Engineers Series C 52, no. 478 (1986): 1758–63. http://dx.doi.org/10.1299/kikaic.52.1758.

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15

Martikka, H. "Optimum design of locomotive frames using fuzzy goals and FE methods." Advances in Engineering Software 31, no. 6 (June 2000): 411–15. http://dx.doi.org/10.1016/s0965-9978(00)00005-3.

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16

Winkler, E. "Optimum design of gamma-irradiation plants by means of mathematical methods." Radiation Physics and Chemistry (1977) 26, no. 5 (January 1985): 599–601. http://dx.doi.org/10.1016/0146-5724(85)90218-3.

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17

TATEBAYASHI, Kazuo. "2. The Method for Optimum Design using CAE with Taguchi Methods." Proceedings of Design & Systems Conference 2006.16 (2006): 404–5. http://dx.doi.org/10.1299/jsmedsd.2006.16.404.

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18

HARAMURA, Yoshihiko. "A12 A Proposal of the Optimum Design Methods on Stirling Engine." Proceedings of the Symposium on Stirlling Cycle 2001.5 (2001): 47–50. http://dx.doi.org/10.1299/jsmessc.2001.5.47.

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19

Paramasivam, V., K. P. Padmanaban, and V. Senthil. "Optimum design selection of jigs/fixtures using digraph and matrix methods." International Journal of Manufacturing Technology and Management 20, no. 1/2/3/4 (2010): 358. http://dx.doi.org/10.1504/ijmtm.2010.032906.

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20

UMEZAKI, Shigeo. "2508 Study of optimum design methods for man-machine coexistence systems." Proceedings of the Transportation and Logistics Conference 2000.9 (2000): 157–60. http://dx.doi.org/10.1299/jsmetld.2000.9.157.

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21

Zare, M., H. Ramin, S. Naemi, and R. Hosseini. "Exact Optimum Design of Segmented Thermoelectric Generators." International Journal of Chemical Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/6914735.

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A considerable difference between experimental and theoretical results has been observed in the studies of segmented thermoelectric generators (STEGs). Because of simplicity, the approximate methods are widely used for design and optimization of the STEGs. This study is focused on employment of exact method for design and optimization of STEGs and comparison of exact and approximate results. Thus, using new highly efficient thermoelectric materials, four STEGs are proposed to operate in the temperature range of 300 to 1300 kelvins. The proposed STEGs are optimally designed to achieve maximum efficiency. Design and performance characteristics of the optimized generators including maximum conversion efficiency and length of elements are calculated through both exact and approximate methods. The comparison indicates that the approximate method can cause a difference up to 20% in calculation of some design characteristics despite its appropriate results in efficiency calculation. The results also show that the maximum theoretical efficiency of 23.08% is achievable using the new proposed STEGs. Compatibility factor of the selected materials for the proposed STEGs is also calculated using both exact and approximate methods. The comparison indicates a negligible difference in calculation of compatibility factor, despite the considerable difference in calculation of reduced efficiency (temperature independence efficiency).

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22

Potyralla, Maciej. "Geostatistical Methods in Water Distribution Network Design - A Case Study." Ecological Chemistry and Engineering S 26, no. 1 (March 1, 2019): 101–18. http://dx.doi.org/10.1515/eces-2019-0008.

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Abstract Modeling of the loads of water supply networks and their subsequent forecasting is an element necessary for making optimum decisions in the process of planning the development and operation of the water supply networks. The results of this modeling are decisive for the selection of the diameters of the pipelines and their arrangement on the water demand area. This study presents the results of estimation of average values of loads for the selected investment variants. The aim of the article is to present the possibility of simulations and analyses of the geostatistical interpolation methods. Data input in the model regarded the fragment of the real water supply network administered by the Municipal Water and Sewerage Company in Warszawa. Results of the computer analyses for the presented investment variants were related to the operating data of the water supply network and the data on water demand for the years 2014-2017 and 2018-2025. The aim of this paper is to present the advantages of GIS for the water supply systems and to prove that using the appropriate IT system, with provision of proper data processing, may lead to decisions which are optimum in view of the established, often very complex criteria.

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23

Al-Douri, Eman M. Farhan. "Optimum Design of Trapezoidal Combined Footings." Tikrit Journal of Engineering Sciences 14, no. 1 (March 31, 2007): 85–115. http://dx.doi.org/10.25130/tjes.14.1.05.

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This study is an application of one of the non-linear programming methods ; Hooke & Jeeves method to the structural design of the trapezoidal combined footings , considering the total cost of the footing as an objective function . The cost function was formulated in terms of the following design variables : Smaller and larger footing width, footing width, thickness, depth of embedment and left and right projections A computer program was developed to solve this design problem using the conventional structural design approach in conjunction with Hooke & Jeeves method. A simple study was performed to detect the sensitivity of the objective function to its design variables.A further parametric study was performed regarding the distance between columns and loading conditions. It has been proved that the minimum cost of the trapezoidal combined footing increases with the increase of the distance between columns and loading ratio.

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24

Li, Ling Fang, Zhe Ming He, and You Xin Luo. "Reliability Optimization Design of Mechanical Parts Based on Global Optimization." Advanced Materials Research 503-504 (April 2012): 40–43. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.40.

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Generally, action of constraints exists in reliability optimization design of mechanical parts. Usually, general optimum methods are adopted in reliability optimization design, so the local solution is obtained. Aimed at this situation, a global optimum method was introduced by Lingo13.0 software. The result shows the model is practical and effective and its solution is global solution better than the result with general optimum method. As the method is simple, it is worthy to spread in optimum design

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25

Albak, Emre İsa, Erol Solmaz, and Ferruh Öztürk. "Optimal design of differential mount using nature-inspired optimization methods." Materials Testing 63, no. 8 (August 1, 2021): 764–69. http://dx.doi.org/10.1515/mt-2021-0006.

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Abstract Structural performance and lightweight design are a significant challenge in the automotive industry. Optimization methods are essential tools to overcome this challenge. Recently, nature-inspired optimization methods have been widely used to find optimum design variables for the weight reduction process. The objective of this study is to investigate the best differential mount design using nature-based optimum design techniques for weight reduction. The performances of the nature-based algorithms are tested using convergence speed, solution quality, and robustness to find the best design outlines. In order to examine the structural performance of the differential mount, static analyses are performed using the finite element method. In the first step of the optimization study, a sampling space is generated by the Latin hypercube sampling method. Then the radial basis function metamodeling technique is used to create the surrogate models. Finally, differential mount optimization is performed by using genetic algorithms (GA), particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization (MFO), ant lion optimizer (ALO) and dragonfly algorithm (DA), and the results are compared. All methods except PSO gave good and close results. Considering solution quality, robustness and convergence speed data, the best optimization methods were found to be MFO and ALO. As a result of the optimization, the differential mount weight is reduced by 14.6 wt.-% compared to the initial design.

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26

Honda, Shinya, Yoshihiro Narita, and Katsuhiko Sasaki. "Optimization for the Maximum Buckling Loads of Laminated Composite Plates – Comparison of Various Design Methods." Key Engineering Materials 334-335 (March 2007): 89–92. http://dx.doi.org/10.4028/www.scientific.net/kem.334-335.89.

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Structural plate elements in composite structures are typically fabricated by stacking orthotropic layers, each of which is composed of reinforcing fibers and matrix materials. In this work, three optimum design approaches are compared to clarify the advantages and disadvantages for optimizing the buckling performance of laminated composite plates. The first approach is developed recently by the authors, where the buckling load is maximized with respect to the lamination parameters by a gradient method and then the optimum lay-up design is determined by minimizing the errors between the optimum parameters and parameters for all possible discrete lay-ups. The second approach is the layerwise optimization (LO) approach where the fiber orientation angle in each layer is optimized step-by-step by repeating one dimensional search. The third one is a direct application of a simple genetic algorithm (SGA). In numerical examples, three sets of results are compared to discuss on the methodology for buckling optimization.

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27

Zaleta, David, Michael Larsson, Walter Daschner, and Sing H. Lee. "Design methods for space-variant optical interconnections to achieve optimum power throughput." Applied Optics 34, no. 14 (May 10, 1995): 2436. http://dx.doi.org/10.1364/ao.34.002436.

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28

Shih, C. J., C. C. Chi та J. H. Hsiao. "Alternative α-level-cuts methods for optimum structural design with fuzzy resources". Computers & Structures 81, № 28-29 (листопад 2003): 2579–87. http://dx.doi.org/10.1016/s0045-7949(03)00331-6.

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29

Zacharenaki, Athanasia E., Michalis Fragiadakis, and Manolis Papadrakakis. "Reliability-based optimum seismic design of structures using simplified performance estimation methods." Engineering Structures 52 (July 2013): 707–17. http://dx.doi.org/10.1016/j.engstruct.2013.03.007.

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30

Minoux, M. "Networks synthesis and optimum network design problems: Models, solution methods and applications." Networks 19, no. 3 (May 1989): 313–60. http://dx.doi.org/10.1002/net.3230190305.

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31

Krasyk, Aleksandr M., and Evgeny Yu Russky. "OPTIMIZING DESIGN PARAMETERS OF ROTATING BLADES OF MINE AXIAL FANS." Interexpo GEO-Siberia 2 (July 8, 2020): 98–102. http://dx.doi.org/10.33764/2618-981x-2020-2-98-102.

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This paper considers optimum designing of rotating blades of axial fans, which satisfy strength conditions at a tip speed of more than 140 m/s. Due to the high rotation velocities, cast blades lack the required strength; therefore, it is necessary to develop a lightweight design which allows increasing fan rotor speed. Mathematical methods for searching optimum design parameters by optimality criteria are used in this paper. The design obtained in this case will be closest to the optimum design, providing the given design parameters with the selected criterion. The optimum design was searched using the ANSYS software package based on topological optimization. Based on the solution of the optimization problem, the optimum mass distribution of airfoil blade of mine axial fan impeller is obtained. The optimum shape of impeller blade of the axial fan allows increasing the rotor speed and fan capacity by 1,8 times.

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32

Rao, S. S., and Lingtao Cao. "Optimum Design of Mechanical Systems Involving Interval Parameters." Journal of Mechanical Design 124, no. 3 (August 6, 2002): 465–72. http://dx.doi.org/10.1115/1.1479691.

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The imprecision or uncertainty present in many engineering systems can be modeled using probabilistic, fuzzy or interval methods. This work presents the optimum design of uncertain mechanical systems using interval analysis for the prediction of system response. Each of the uncertain parameters is defined by a range of values. Since the interval ranges of response parameters is found to increase with an increase in the number and/or ranges of input interval parameters with the use of interval arithmetic operations, a truncation procedure is used to obtain approximate but reasonably accurate response of the system. This procedure is found to be simple, economical and fairly accurate. The optimum design of a brake is considered to illustrate the computational aspects of the methods. The procedures outlined in this work are quite general and can be used for the design of any uncertain mechanical system when either the probability distribution functions or the preference information of uncertain parameters are unknown.

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33

Moayyeri, Neda, Sadjad Gharehbaghi, and Vagelis Plevris. "Cost-Based Optimum Design of Reinforced Concrete Retaining Walls Considering Different Methods of Bearing Capacity Computation." Mathematics 7, no. 12 (December 12, 2019): 1232. http://dx.doi.org/10.3390/math7121232.

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This paper investigates the effect of computing the bearing capacity through different methods on the optimum construction cost of reinforced concrete retaining walls (RCRWs). Three well-known methods of Meyerhof, Hansen, and Vesic are used for the computation of the bearing capacity. In order to model and design the RCRWs, a code is developed in MATLAB. To reach a design with minimum construction cost, the design procedure is structured in the framework of an optimization problem in which the initial construction cost of the RCRW is the objective function to be minimized. The design criteria (both geotechnical and structural limitations) are considered constraints of the optimization problem. The geometrical dimensions of the wall and the amount of steel reinforcement are used as the design variables. To find the optimum solution, the particle swarm optimization (PSO) algorithm is employed. Three numerical examples with different wall heights are used to capture the effect of using different methods of bearing capacity on the optimal construction cost of the RCRWs. The results demonstrate that, in most cases, the final design based on the Meyerhof method corresponds to a lower construction cost. The research findings also reveal that the difference among the optimum costs of the methods is decreased by increasing the wall height.

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34

HONG, DO-KWAN, BYUNG-CHUL WOO, and CHAN-WOO AHN. "OPTIMUM DESIGN FOR IMPROVEMENT OF PM-TYPE LONGITUDINAL FLUX LINEAR MOTOR USING THE STATISTICAL METHODS." International Journal of Modern Physics B 24, no. 15n16 (June 30, 2010): 2821–26. http://dx.doi.org/10.1142/s0217979210065696.

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Permanent Magnet (PM) type Longitudinal Flux Linear Motors (LFLMs) are electromagnetic devices which can develop directly powerful linear motion. This paper presents statistical optimum design of PM type LFLM to reduce the weight of the machine with the constraints of avg. thrust force using the penalty method with characteristics function and Response Surface Methodology (RSM). The contribution and effect of the each design variable on the characteristic function is evaluated by the analysis of means (ANOM) and optimum design set is determined. The reduced gradient algorithm is adopted in RSM. Therefore, it is expected that the proposed optimization procedure using penalty method and RSM can be easily utilized to solve the optimization problem with constraint of electric machine.

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35

Li, Wang Lin, Xi Wang, Xiao Yan Wei, and Ying Te Li. "Study on Optimum Methods for Large Canal Slope." Applied Mechanics and Materials 170-173 (May 2012): 2084–88. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2084.

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Aiming to characteristics of large canal slope, the key problem of slope optimization for large canal was studied, and synthetic optimization methods of canal slope were put forward: 1. Enough geological exploration and geotechnical test are beneficial to determine shear strength parameters accurately and to prevent conservative design. 2. Appropriate slope stability analysis method of large canal was chosen, and anti-sliding stability of canal slope accurately was evaluated considering the effect of canal stage excavation and large board concrete liner on canal slope stability. 3. The whole canal slope optimization was embodied through controlling the anti-sliding stability safety factor affluence of canal slope. 4. Based on permissible minimum slope gradient and practically economic cross-section of canal, an optimization method of canal slope was put forward considering slope stability and minimum cost. In addition, concept of permissible limited state and permissible limited gradient for canal slope were proposed.

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36

Ulusoy, Serdar, Aylin Ece Kayabekir, Gebrail Bekdaş, and Sinan Melih Nigdeli. "Metaheuristic algorithms in optimum design of reinforced concrete beam by investigating strength of concrete." Challenge Journal of Concrete Research Letters 11, no. 2 (June 17, 2020): 26. http://dx.doi.org/10.20528/cjcrl.2020.02.001.

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The locations of structural members can be provided according to architectural projects in the design of reinforced concrete (RC) structures. The design of dimensions is the subject of civil engineering, and these designs are done according to the experience of the designer by considering the regulation suggestions, but these dimensions and the required reinforcement plan may not be optimum. For that reason, the dimensions and detailed reinforcement design of RC structures can be found by using optimization methods. To reach optimum results, metaheuristic algorithms can be used. In this study, several metaheuristic algorithms such as harmony search, bat algorithm and teaching learning-based optimization are used in the design of several RC beams for cost minimization. The optimum results are presented for different strength of concrete. The results show that using high strength material for high flexural moment capacity has lower cost than low stretch concrete since doubly reinforced design is not an optimum choice. The results prove that a definite metaheuristic algorithm cannot be proposed for the best optimum design of an engineering problem. According to the investigation of compressive strength of concrete, it can be said that a low strength material are optimum for low flexural moment, while a high strength material may be the optimum one by the increase of the flexural moment as expected.

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37

Seyedpoor, S. M., and S. Gholizadeh. "Optimum Shape Design of Arch Dams by a Combination of Simultaneous Perturbation Stochastic Approximation and Genetic Algorithm Methods." Advances in Structural Engineering 11, no. 5 (October 2008): 501–10. http://dx.doi.org/10.1260/136943308786412069.

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An efficient method is proposed to find optimal shape of arch dams subjected to response spectrum loading. The optimization is performed by a combination of simultaneous perturbation stochastic approximation (SPSA) and genetic algorithm (GA) methods. This new method is called simultaneous perturbation genetic algorithm (SPGA). Operation of SPGA includes three phases. In the first phase, a preliminary optimization is accomplished using SPSA. In the second phase, an optimal initial population is produced using the first phase results. In the last phase, GA is employed to find optimum design using the optimal initial population. The numerical results reveal the robustness and high performance of the proposed method for optimum shape design of arch dams. The optimum design obtained by SPGA is compared with those of SPSA and GA. It is demonstrated that the SPGA converges to better solution compared to SPSA and GA by spending lower computational cost.

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38

Jang, Chang Doo, Ho Kyung Kim, and Ha Cheol Song. "Optimum Structural Design of High-Speed Surface Effect Ships Built of Composite Materials." Marine Technology and SNAME News 40, no. 01 (January 1, 2003): 42–48. http://dx.doi.org/10.5957/mt1.2003.40.1.42.

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A surface effect ship is known to be comparable to a high-speed ship. For the structural design of surface effect ships, advanced design methods are needed which can reflect the various loading conditions different from those of conventional ships. Also, minimum weight design is essential because hull weight significantly affects the lift, thrust powering and high-speed performance. This paper presents the procedure of optimum structural design and a computer program to minimize the hull weight of surface effect ships built of composite materials. By using the developed computer program, the optimum structural designs for three types of surface effect ships—built of sandwich plate only, stiffened single skin plate only, and both plates—are carried out and the efficiency of each type is investigated in terms of weight. The computer program, developed herein, successfully reduced the hull weight of surface effect ships by 15–30% compared with the original design. Numerical results of optimum structural designs are presented and discussed.

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39

Wen, Bang Chun, Xiao Peng Li, Wei Sun, and Zhao Hui Ren. "A New Design Method—Deep-Layer Synthesized Design Method of Full Functions and Full Performances of Product." Applied Mechanics and Materials 16-19 (October 2009): 1–9. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1.

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In recent one century more than 60 design methods of products have been proposed and most of them can satisfy the one or several requirements of the general qualities only. So it is necessary to develop some synthesized design method, which can satisfy requirements of general synthesized qualities of product. Up to now, several scientists and technologists have done their efforts to study several synthesized design methods in order to satisfy more requirements of users. These methods are comprehensive design method, QFD method, taguchi design method, axiomatic design method, etc. Based on the classification of the design methods, we have proposed a new synthesized design method, named 1+3+X. The present method meet the need of customers for different general synthesized qualities of product including main and supplementary functions, structural performances, working performances and manufacturing performances and the first 1 is functional optimum design, the 3 are the dynamic optimum design, intelligent design and visual design to satisfy structural performances, working performances and manufacturing performances respectively, and the X is the design to satisfy other requirements.

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Vatin, Nikolai, Mikhail Petrichenko, and Darya Nemova. "Hydraulic Methods for Calculation of System of Rear Ventilated Facades." Applied Mechanics and Materials 633-634 (September 2014): 1007–12. http://dx.doi.org/10.4028/www.scientific.net/amm.633-634.1007.

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In this article the capacity of systems of rear ventilated facades is defined. In work theoretical dependences of the main characteristics of the flow, helping to pick up an optimum design in thermogravitational convection conditions are offered.

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41

Gosselin, C., and J. Angeles. "The Optimum Kinematic Design of a Planar Three-Degree-of-Freedom Parallel Manipulator." Journal of Mechanisms, Transmissions, and Automation in Design 110, no. 1 (March 1, 1988): 35–41. http://dx.doi.org/10.1115/1.3258901.

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In this paper, the design of a planar three-degree-of-freedom parallel manipulator is considered from a kinematic viewpoint. Four different design criteria are established and used to produce designs having optimum characteristics. These criteria are (a) symmetry (b) the existence of a nonvanishing workspace for every orientation of the gripper (c) the maximization of the global workspace, and (d) the isotropy of the Jacobian of the manipulator. The four associated problems are formulated and their solutions are derived. Two of these require to resort to numerical methods for nonlinear algebraic systems. Results of optimum designs are also included.

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42

Franco, Alessandro. "Methods for the Sustainable Design of Solar Energy Systems for Industrial Process Heat." Sustainability 12, no. 12 (June 23, 2020): 5127. http://dx.doi.org/10.3390/su12125127.

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In this paper, the production of low to medium temperature water for industrial process heat using solar energy is considered. In particular, the paper outlines the perspective of an optimum design method that takes into account all of the typical variables of the problem (solar irradiation, system architecture, design constraints, load type and distribution, and design and optimization criteria) and also considers the use of the fossil fuel backup system. The key element of the methodology is the definition of a synthetic combined energetic and economic utility function. This considers the attribution of an economic penalty to irreversibility in connection with the use of a fossil fuel backup. This function incorporates the share of the solar system production (solar fraction) as an optimum design variable. This paper shows how, using the proposed criteria, the optimal value of the solar fraction, defined as the share of operation of the solar system with respect to the whole energy demand, can be increased. Current practice considers values in the range between 40 and 60%. However, levels up to 80% can also be obtained with the proposed methodology. Thus, penalizing the use of fossil fuels does not exclude a priori their contribution.

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43

Kiehbadroudinezhad, Shahideh, Jean-François Bousquet, Michael Cada, Adib Shahabi, and Mohammad Ali Kiehbadroudinezhad. "Analysis and Design of Different Methods to Reach Optimum Power in Butler Matrix." International Journal of Communications, Network and System Sciences 12, no. 02 (2019): 19–35. http://dx.doi.org/10.4236/ijcns.2019.122003.

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Wang, Ning, Xing Peng, and Lingbao Kong. "Optimum Design of a Composite Optical Receiver by Taguchi and Fuzzy Logic Methods." Micromachines 12, no. 12 (November 23, 2021): 1434. http://dx.doi.org/10.3390/mi12121434.

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This paper investigates a composite optical receiver for an indoor visible light communication (VLC) system. The optical gain, received power, and signal-to-noise ratio (SNR) are considered to be optimized. However, it is difficult to find a balance between them in general design and optimization. We propose the Taguchi and fuzzy logic combination method to improve multiple performance characteristics effectively in the optical receiver. The simulated results indicate that the designed receiver has the characteristics of an optical gain of 10.57, a half field of view (HFOV) of 45°, a received power of 6.4635 dBm, a signal-to-noise ratio (SNR) of 89.8874 dB, and a spot size of 2 mm. The appropriate weights of the three performance characteristics for the inputs of the fuzzy controllers increase the optical gain by 13.601 dB, and the received power and SNR by 11.097 dB and 0.373 dB, respectively. Therefore, the optical receiver optimally designed by the Taguchi and fuzzy logic methods can significantly meet the requirements of an indoor VLC system.

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45

Ziatdinov, Yu K. "Methods for determining optimum design parameters of compound technical systems with restrictions impoSED." Kosmìčna nauka ì tehnologìâ 2, no. 1-2 (January 30, 1996): 57–61. http://dx.doi.org/10.15407/knit1996.01.057.

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46

Akbari, Jalal, and Mohammad Sadegh Ayubirad. "Seismic Optimum Design of Steel Structures Using Gradient-Based and Genetic Algorithm Methods." International Journal of Civil Engineering 15, no. 2 (October 18, 2016): 135–48. http://dx.doi.org/10.1007/s40999-016-0088-0.

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47

Shchuchinkii, S. Kh. "Methods for calculation and optimum design of the power-driven electromagnets of valves." Chemical and Petroleum Engineering 32, no. 3 (May 1996): 282–87. http://dx.doi.org/10.1007/bf02411604.

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48

Dercas, N., and J. D. Valiantzas. "TWO EXPLICIT OPTIMUM DESIGN METHODS FOR A SIMPLE IRRIGATION DELIVERY SYSTEM: COMPARATIVE APPLICATION." Irrigation and Drainage 61, no. 1 (April 29, 2011): 10–19. http://dx.doi.org/10.1002/ird.632.

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49

Işık, Yahya, and Mücahit Göle. "Optimum structural design of seat frames for commercial vehicles." Materials Testing 63, no. 2 (February 1, 2021): 138–42. http://dx.doi.org/10.1515/mt-2020-0028.

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Abstract Seat frames in commercial vehicles generally consist of components such as foot brackets, seats, back, head restraints and fasteners. In addition to mechanical properties, comfort is another important parameter. This study aims to reduce the cost of a commercial vehicle by means of alternative materials and design changes in the passenger seat frame. For this purpose, three different methods were used to optimize seat back pipes: reducing the cross-section, using thinner sections in the seat frame via alternative material and making design changes in the foot brackets. In the methods applied, mitigation and cost reductions were achieved. The suitability of the design changes in the seat through geometric changes was confirmed by international ECE R14 test results and finite element method analyses.

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50

Du, Liu, K. K. Choi, Byeng D. Youn, and David Gorsich. "Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data." Journal of Mechanical Design 128, no. 4 (November 23, 2005): 928–35. http://dx.doi.org/10.1115/1.2204972.

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The reliability based design optimization (RBDO) method is prevailing in stochastic structural design optimization by assuming the amount of input data is sufficient enough to create accurate input statistical distribution. If the sufficient input data cannot be generated due to limitations in technical and/or facility resources, the possibility-based design optimization (PBDO) method can be used to obtain reliable designs by utilizing membership functions for epistemic uncertainties. For RBDO, the performance measure approach (PMA) is well established and accepted by many investigators. It is found that the same PMA is a very much desirable approach also for the PBDO problems. In many industry design problems, we have to deal with uncertainties with sufficient data and uncertainties with insufficient data simultaneously. For these design problems, it is not desirable to use RBDO since it could lead to an unreliable optimum design. This paper proposes to use PBDO for design optimization for such problems. In order to treat uncertainties as fuzzy variables, several methods for membership function generation are proposed. As less detailed information is available for the input data, the membership function that provides more conservative optimum design should be selected. For uncertainties with sufficient data, the membership function that yields the least conservative optimum design is proposed by using the possibility-probability consistency theory and the least conservative condition. The proposed approach for design problems with mixed type input uncertainties is applied to some example problems to demonstrate feasibility of the approach. It is shown that the proposed approach provides conservative optimum design.

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