Relevant bibliographies by topics / Optimum Design Methods

Academic literature on the topic 'Optimum Design Methods'

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Published: 6 September 2023

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Journal articles on the topic "Optimum Design Methods"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Optimum Design Methods"

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Xie, Lei. "Gradient-Based Optimum Aerodynamic Design Using Adjoint Methods." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/27306.

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Continuous adjoint methods and optimal control theory are applied to a pressure-matching inverse design problem of quasi 1-D nozzle flows. Pontryagin’s Minimum Principle is used to derive the adjoint system and the reduced gradient of the cost functional. The properties of adjoint variables at the sonic throat and the shock location are studied, revealing a logarithmic singularity at the sonic throat and continuity at the shock location. A numerical method, based on the Steger-Warming flux-vector-splitting scheme, is proposed to solve the adjoint equations. This scheme can finely resolve the singularity at the sonic throat. A non-uniform grid, with points clustered near the throat region, can resolve it even better. The analytical solutions to the adjoint equations are also constructed via Green’s function approach for the purpose of comparing the numerical results. The pressure-matching inverse design is then conducted for a nozzle parameterized by a single geometric parameter. In the second part, the adjoint methods are applied to the problem of minimizing drag coefficient, at fixed lift coefficient, for 2-D transonic airfoil flows. Reduced gradients of several functionals are derived through application of a Lagrange Multiplier Theorem. The adjoint system is carefully studied including the adjoint characteristic boundary conditions at the far-field boundary. A super-reduced design formulation is also explored by treating the angle of attack as an additional state; super-reduced gradients can be constructed either by solving adjoint equations with non-local boundary conditions or by a direct Lagrange multiplier method. In this way, the constrained optimization reduces to an unconstrained design problem. Numerical methods based on Jameson’s finite volume scheme are employed to solve the adjoint equations. The same grid system generated from an efficient hyperbolic grid generator are adopted in both the Euler flow solver and the adjoint solver. Several computational tests on transonic airfoil design are presented to show the reliability and efficiency of adjoint methods in calculating the reduced (super-reduced) gradients.
Ph. D.
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Kao, Pi-Jen. "Efficient methods for integrated structural-aerodynamic wing optimum design." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54211.

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The dissertation is focused on the large computational costs of integrated multidisciplinary design. Efficient techniques are developed to reduce the computational costs associated with integrated structural-aerodynamic design. First efficient methods for the calculations of the derivatives of the flexibility matrix and the aerodynamic influence coefficient matrix are developed. An adjoint method is used for the flexibility sensitivity, and a perturbation method is used for the aerodynamic sensitivity. Second a sequential optimization algorithm that employs approximate analysis methods is implemented. Finally, a modular sensitivity analysis, corresponding to the abstraction of a system as an assembly of interacting black boxes, is applied. This method was developed for calculating system sensitivity without modifying disciplinary black-box software packages. The modular approach permits the calculation of aeroelastic sensitivities without the expensive calculation of the derivatives of the flexibility matrix and the aerodynamic influence coefficient matrix.
Ph. D.
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Nattermann, Max [Verfasser], and Ekaterina [Akademischer Betreuer] Kostina. "Numerical Methods of Optimum Experimental Design Based on a Second-Order Approximation of Confidence Regions / Max Nattermann. Betreuer: Ekaterina Kostina." Marburg : Philipps-Universität Marburg, 2015. http://d-nb.info/1068315083/34.

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Kircheis, Robert [Verfasser], and Stefan [Akademischer Betreuer] Körkel. "Structure Exploiting Parameter Estimation and Optimum Experimental Design Methods and Applications in Microbial Enhanced Oil Recovery / Robert Kircheis ; Betreuer: Stefan Körkel." Heidelberg : Universitätsbibliothek Heidelberg, 2015. http://d-nb.info/118039657X/34.

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Kircheis, Robert [Verfasser], and Stefan [Akademischer Betreuer] Körkel. "Structure Exploiting Parameter Estimation and Optimum Experimental Design Methods and Applications in Microbial Enhanced Oil Recovery / Robert Kircheis ; Betreuer: Stefan Körkel." Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/1180736540/34.

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Ameli, Mostafa. "Heuristic Methods for Calculating Dynamic Traffic Assignment Simulation-based dynamic traffic assignment: meta-heuristic solution methods with parallel computing Non-unicity of day-to-day multimodal user equilibrium: the network design history effect Improving traffic network performance with road banning strategy: a simulation approach comparing user equilibrium and system optimum." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSET009.

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Les systèmes de transport sont caractérisés de manière dynamique non seulement par des interactions non linéaires entre les différents composants, mais également par des boucles de rétroaction entre l'état du réseau et les décisions des utilisateurs. En particulier, la congestion du réseau impacte à la fois la répartition de la demande locale en modifiant les choix d’itinéraire et la demande multimodale globale. Selon les conditions du réseau, ils peuvent décider de changer, par exemple, leur mode de transport. Plusieurs équilibres peuvent être définis pour les systèmes de transport. L'équilibre de l'utilisateur correspond à la situation dans laquelle chaque utilisateur est autorisé à se comporter de manière égoïste et à minimiser ses propres frais de déplacement. L'optimum du système correspond à une situation où le coût total du transport de tous les utilisateurs est minimal. Dans ce contexte, l’étude vise à calculer les modèles de flux d'itinéraires dans un réseau prenant en compte différentes conditions d’équilibre et à étudier l’équilibre du réseau dans un contexte dynamique. L'étude se concentre sur des modèles de trafic capables de représenter une dynamique du trafic urbain à grande échelle. Trois sujets principaux sont abordés. Premièrement, des méthodes heuristiques et méta-heuristiques rapides sont développées pour déterminer les équilibres avec différents types de trafic. Deuxièmement, l'existence et l'unicité des équilibres d'utilisateurs sont étudiées. Lorsqu'il n'y a pas d'unicité, la relation entre des équilibres multiples est examinée. De plus, l'impact de l'historique du réseau est analysé. Troisièmement, une nouvelle approche est développée pour analyser l’équilibre du réseau en fonction du niveau de la demande. Cette approche compare les optima des utilisateurs et du système et vise à concevoir des stratégies de contrôle afin de déplacer la situation d'équilibre de l'utilisateur vers l'optimum du système
Transport systems are dynamically characterized not only by nonlinear interactions between the different components but also by feedback loops between the state of the network and the decisions of users. In particular, network congestion affects both the distribution of local demand by modifying route choices and overall multimodal demand. Depending on the conditions of the network, they may decide to change for example their transportation mode. Several equilibria can be defined for transportation systems. The user equilibrium corresponds to the situation where each user is allowed to behave selfishly and to minimize his own travel costs. The system optimum corresponds to a situation where the total transport cost of all the users is minimum. In this context, the study aims to calculate route flow patterns in a network considering different equilibrium conditions and study the network equilibrium in a dynamic setting. The study focuses on traffic models capable of representing large-scale urban traffic dynamics. Three main issues are addressed. First, fast heuristic and meta-heuristic methods are developed to determine equilibria with different types of traffic patterns. Secondly, the existence and uniqueness of user equilibria is studied. When there is no uniqueness, the relationship between multiple equilibria is examined. Moreover, the impact of network history is analyzed. Thirdly, a new approach is developed to analyze the network equilibrium as a function of the level of demand. This approach compares user and system optimums and aims to design control strategies in order to move the user equilibrium situation towards the system optimum
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Demircubuk, Murat. "Design and manufacture of optimum porduct structure /." View online ; access limited to URI, 2005. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3188839.

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Vardakos, Sotirios. "Back-analysis methods for optimal tunnel design." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26124.

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A fundamental element of the observational method in geotechnical engineering practice is the utilization of a carefully laid out performance monitoring system which provides rapid insight of critical behavioral trends of the work. Especially in tunnels, this is of paramount importance when the contractual arrangements allow an adaptive tunnel support design during construction such as the NATM approach. Utilization of measurements can reveal important aspects of the ground-support interaction, warning of potential problems, and design optimization and forecasting of future behavior of the underground work. The term back-analysis involves all the necessary procedures so that a predicted simulation yields results as close as possible to the observed behavior. This research aims in a better understanding of the back-analysis methodologies by examining both simplified approaches of tunnel response prediction but also more complex numerical methods. Today a wealth of monitoring techniques is available for tunnel monitoring. Progress has also been recorded in the area of back-analysis in geotechnical engineering by various researchers. One of the most frequently encountered questions in this reverse engineering type of work is the uniqueness of the final solution. When possible errors are incorporated during data acquisition, the back analysis problem becomes formidable. Up to the present, various researchers have presented back-analysis schemes, often coupled with numerical methods such as the Finite Element Method, and in some cases the more general approach of neural networks has been applied. The present research focuses on the application of back-analysis techniques that are applicable to various conditions and are directly coupled with a widely available numerical program. Different methods are discussed and examples are given. The strength and importance of global optimization is introduced for geotechnical engineering applications along with the novel implementation of two global optimization algorithms in geotechnical parameter identification. The techniques developed are applied to the back-analysis of a modern NATM highway tunnel in China and the results are discussed.
Ph. D.
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Biglari, Farid Reza. "Optimum design of forging dies using finite element method." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299937.

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Tam, Thomas Kam-Hung. "Computer methods for optimal plastic design of frames." Thesis, Queen's University Belfast, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317120.

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Books on the topic "Optimum Design Methods"

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Optimum design methods for aerodynamics. Neuilly sur Seine, France: AGARD, 1994.

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Periaux, Jacques, Gabriel Bugeda, Panagiotis K. Chaviaropoulos, Theo Labrujere, and Bruno Stoufflet, eds. EUROPT — A European Initiative on Optimum Design Methods in Aerodynamics. Wiesbaden: Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-322-86570-0.

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Optimum design of renewable energy systems: Microgrid and nature grid methods. Hershey, PA: Information Science Reference, 2014.

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Brite/Euram Project Workshop "Optimum Design in Aerodynamics" (1992 Barcelona, Spain). EUROPT-a European initiative on optimum design methods in dynamics: Proceedings of the Brite/Euram Project Workshop "Optimum Design in Aerodynamics", Barcelona, 1992. Braunschweig: Vieweg, 1997.

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Périaux, Jacques. EUROPT - A European Initiative on Optimum Design Methods in Aerodynamics: Proceedings of the Brite/Euram Project Workshop "Optimum Design in Areodynamics", Barcelona, 1992. Wiesbaden: Vieweg+Teubner Verlag, 1997.

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Vasile, Topa, ed. Optimal design of the electromagnetic devices using numerical methods. Brussels: VUB University Press, 2000.

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Borggaard, Jeff, John Burns, Eugene Cliff, and Scott Schreck, eds. Computational Methods for Optimal Design and Control. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1780-0.

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Optimal synthesis methods for MEMS. Boston: Kluwer Academic Publishers, 2003.

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Ananthasuresh, G. K. Optimal synthesis methods for MEMS. Boston, MA: Kluwer Academic Publishers, 2004.

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Chen, Chi-Tsong. Control system design: Conventional, algebraic, and optimal methods. Stony Brook, NY: Pond Woods Press, 1987.

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Book chapters on the topic "Optimum Design Methods"

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Haug, E. J., and K. K. Choi. "Material Derivative Methods for Shape Design Sensitivity Analysis." In The Optimum Shape, 29–60. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4615-9483-3_2.

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Farkas, József, and Károly Jármai. "Newer Mathematical Methods in Structural Optimization." In Optimum Design of Steel Structures, 15–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36868-4_2.

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Chaudouet-Miranda, A., and F. El Yafi. "Boundary Element Method Applied to 3D Optimum Design." In Advanced Boundary Element Methods, 101–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83003-7_11.

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Arora, Jasbir S. "Basic Concepts of Computational Methods for Optimum Design." In Guide to Structural Optimization, 291–302. New York, NY: American Society of Civil Engineers, 1997. http://dx.doi.org/10.1061/9780784402207.apb.

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Zhou, J. F., and B. Q. Gu. "Optimum Design of Spiral Grooved Mechanical Seal Based on Thermo-Hydrodynamics." In Computational Methods in Engineering & Science, 306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-48260-4_152.

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Greiner, David, José María Emperador, Blas Galván, Gabriel Winter, and Jacques Periaux. "Optimum Structural Design Using Bio-Inspired Search Methods: A Survey and Applications." In Computational Intelligence in Aerospace Sciences, 373–414. Reston, VA: American Institute of Aeronautics and Astronautics, Inc., 2014. http://dx.doi.org/10.2514/5.9781624102714.0373.0414.

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Skowronski, Andrzej. "Optimum Building Shape in View of Energy Saving." In Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion, 339–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39188-0_37.

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Stoufflet, Bruno. "State-of-the-Art of Optimum Shape Design Methods for Industrial Applications and Beyond." In Variational Analysis and Aerospace Engineering, 451–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45680-5_17.

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Ali Razavi, S., and Rouhollah Shirjani. "Optimum Design of BRB Frame Based on Drift Uniformity, Structure Weight, and Seismic Parameters Using Nonlinear Time History Analysis." In Optimization Methods for Structural Engineering, 95–119. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2378-6_7.

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Aydın, Yaren, Gebrail Bekdaş, Sinan Melih Nigdeli, Ümit Işıkdağ, and Zong Woo Geem. "Comparison of Multilayer Perceptron and Other Methods for Prediction of Sustainable Optimum Design of Reinforced Concrete Columns." In Studies in Systems, Decision and Control, 235–63. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34728-3_12.

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Conference papers on the topic "Optimum Design Methods"

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Yeju Ying and Lianen Zhao. "Optimum design methods for WPC shipform." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5965019.

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Karvinen, Reijo, and Kaj Lampio. "METHODS TO DESIGN OPTIMUM HEAT SINK GEOMETRIES." In International Heat Transfer Conference 16. Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.hte.023247.

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Marano, Giuseppe Carlo. "ENERGY BASED OPTIMUM DESIGN OF TUNED MASS DAMPERS." In 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2015. http://dx.doi.org/10.7712/120115.3641.1767.

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Rangel, João Victor Silva, Gines Arturo Santos Falcón, and Carlos Alberto Medeiros. "Optimum Design of Steel Frames Considering Semi-Rigid Joints." In XXXVIII Iberian-Latin American Congress on Computational Methods in Engineering. Florianopolis, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2017. http://dx.doi.org/10.20906/cps/cilamce2017-0443.

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Miyashita, Tomoyuki, and Hiroshi Yamakawa. "Optimum Design Using Search Agents." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21011.

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Abstract Many optimization methods and practical softwares have been developing for many years and most of them are very effective, especially to solve practical problems. But, non-linearity of objective functions and constraint functions, which have frequently seen in practical problems, has caused a difficulty in optimization. This difficulty mainly lies in the existence of several local optimum solutions. In this study, we have proposed a new global optimization methodology that provides an information exchange mechanism in the nearest neighbor method. We have developed a simple software system, which treated each design point in optimization as an agent. Many agents can search the optima simultaneously exchanging the their information. We have defined two roles of the agents. Local search agents have roles on searching local optima by such an existing method as the steepest decent method and so on. Stochastic search agents investigate the design space by making use of the information from other agents. Through simple and several structural optimization problems, we have confirmed the advantages of the method.
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Olhoff, N., B. Niu, and G. Cheng. "ON OPTIMUM DESIGN AND PERIODICITY OF BAND-GAP STRUCTURES." In 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2014. http://dx.doi.org/10.7712/120113.4658.c1490.

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Zhang, She-min, Nobuyoshi Morita, and Takao Torii. "Reduction of Forced Vibration Response by Optimum Balance of Linkage and Optimum Design of System." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4212.

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Abstract This paper proposes a new method to reduce the forced vibration response of frame of linkage. It is that the root-mean-square (RMS) value of binary maximum (Bmax) of forced vibration response at a series of angular velocities is taken as the objective function, and the counterweight mass parameters of links and the stiffness factors are used as design variables. Then, it is found out that the responses are related not only to the Bmax value of shaking forces, but also to the shape of curve of shaking forces. The calculation results are compared with those of two other methods used in the reduction of forced vibration response by optimized balance of linkages, and it is shown that the new method can significantly reduce the responses of frame of linkage.
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Kajiwara, I., and A. Nagamatsu. "Optimum Design of Structure by Sensitivity Analysis." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0384.

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Abstract A series of researches by the authors on structural optimum design by sensitivity analysis is introduced. First, the sensitivity of the anti-resonance frequency is defined, and an approach to eliminate the resonance peak from the frequency response function is proposed using this sensitivity. Next, an experimental approach for structural optimization based on a vibration test is introduced. An approach for optimum design combined with substructure synthesis method is proposed, in which the objective function is an impulse response function. The proposed methods are illustrated by some examples.
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Onyebueke, Landon, and Ikechukwu Nnamani. "Probabilistic Optimum Design of Aircraft Structures." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2655.

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Abstract This paper discusses the application of probabilistic design methodology for the optimum design of aircraft structures. Material properties and loads are considered as stochastic data in formulating the optimization model for the design. The procedure accommodates various types of sensitivity analyses. Attention is focused on studies in which both the aerodynamic and structural designs are optimized simultaneously. Tradeoffs between drag and structural weight for aircraft wings are affected by two aerodynamic-structural interactions. First, structural weight affects the required lift and, thus drag. Second, structural deformations change the aerodynamic shape. Design results obtained using the Monte Carlo simulation method, and the limit state function approach, are presented. The limit state function method applies the Most Probable Point (MPP) search approach. Some of the approximate methods that have been applied for the search are FORM, AMV, AIS, etc.
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Skoulikari, Evangelia, Vissarion Papadopoulos, and Nikos Lagaros. "ASSESMENT OF OPTIMUM STRENGTHENING DESIGN OF A REINFORCED CONCRETE BUILDING WITH VULNERABILITY CRITERIA." In 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2015. http://dx.doi.org/10.7712/120115.3640.1755.

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Reports on the topic "Optimum Design Methods"

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Kirk. L51853 Pipeline Landfall Design and Protection. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 1999. http://dx.doi.org/10.55274/r0011208.

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The overall objective of this work is to summarize the design and construction methods for pipeline landfalls on non-rocky coastlines and give an overview of the concerns and provisions required to find an optimum solution to the pipeline landfall. The review includes cost and safety aspects as well as environmental impact considerations.
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George and Grant. PR-015-14609-R01 Study of Sample Probe Minimum Insertion Depth Requirements. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2015. http://dx.doi.org/10.55274/r0010844.

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Probes for natural gas sample collection and analysis must extend far enough into the pipeline to avoid contaminants at the pipe wall, but must not be so long that there is a risk of flow-induced resonant vibration and failure. PRCI has sponsored a project to determine the minimum probe depth for obtaining a representative single-phase gas sample in flows with small amounts of contaminants. To this end, Phase 1 of the project involved a review of existing literature and industry standards to identify key probe design parameters. Several current standards for sampling clean, dry natural gas were reviewed, and their requirements for sample probe dimensions and mounting arrangements were compared. Some of these standard requirements suggested probe designs and sampling approaches that could be used to collect gas-only samples from two-phase flows. A literature review identified many useful studies of two-phase flows and phase behavior. While few of these studies evaluated probe designs, the majority examined the behavior of gas and liquid in two-phase flows, methods of predicting flow regimes, and methods of predicting flow conditions that define the minimum probe depth for gas-only samples in gas-liquid flows. Useful recommendations were provided for selecting general probe features where liquids must be rejected from the gas sample. A basic design procedure was also provided to select the minimum sample probe insertion length and optimum installation position for known flow conditions. Plans to test the recommendations and the design procedure in Phase 2 of the project were also discussed. This report has a related webinar.
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DiPietro, Kelsey, Denis Ridzal, and diana morales. Adaptive Space-Time Methods for Large Scale Optimal Design. Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1891589.

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Yaroshchuk, Svitlana O., Nonna N. Shapovalova, Andrii M. Striuk, Olena H. Rybalchenko, Iryna O. Dotsenko, and Svitlana V. Bilashenko. Credit scoring model for microfinance organizations. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3683.

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The purpose of the work is the development and application of models for scoring assessment of microfinance institution borrowers. This model allows to increase the efficiency of work in the field of credit. The object of research is lending. The subject of the study is a direct scoring model for improving the quality of lending using machine learning methods. The objective of the study: to determine the criteria for choosing a solvent borrower, to develop a model for an early assessment, to create software based on neural networks to determine the probability of a loan default risk. Used research methods such as analysis of the literature on banking scoring; artificial intelligence methods for scoring; modeling of scoring estimation algorithm using neural networks, empirical method for determining the optimal parameters of the training model; method of object-oriented design and programming. The result of the work is a neural network scoring model with high accuracy of calculations, an implemented system of automatic customer lending.
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Duan, Yuanqiong, Xin Huang, Ailing Liang, Rutie Yin, and Mengpei Zhang. A comparison of the efficacy and feasibility of different regional anesthesia modes in cesarean section：A systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0093.

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Review question / Objective: To investigate the efficacy and feasibility of different regional anesthesia techniques in patients who received cesarean section. Condition being studied: The current study aims to perform a network meta-analysis to comprehensively compare the regional anesthesia methods for postoperative pain in patients scheduled for elective cesarean section and try to find an optimal method that can serve as a reference in clinical practice. Information sources: Two investigators (YY and SS) independently extracted the data. Information was extracted about participant characteristics (age, gestational week, American society of Anesthesiologist grade (ASA), body mass index(BMI), etc.), study design, anesthesia methods, and analgesic efficacy outcomes. The data were extracted from the text, tables, and graphs of each study.
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Kirac, Ahmet, and P. P. Vaidyanathan. Efficient Design Methods of Optimal FIR Compaction Filters for M-channel FIR Subband Coders,. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada327786.

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Kim, Minho, and Junghwan Lim. A Study on the Optimum Design of Pre-Heater System by Using CFD Analysis and Taguchi Method. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0330.

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Dumbacher, S. Multivariable Methods for the Design, Identification and Control of Large Space Structures. Volume 2. Optimal. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada226699.

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Weller, Joel I., Ignacy Misztal, and Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, March 2015. http://dx.doi.org/10.32747/2015.7594404.bard.

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The main objectives of this research was to detect the specific polymorphisms responsible for observed quantitative trait loci and develop optimal strategies for genomic evaluations and selection for moderate (Israel) and large (US) dairy cattle populations. A joint evaluation using all phenotypic, pedigree, and genomic data is the optimal strategy. The specific objectives were: 1) to apply strategies for determination of the causative polymorphisms based on the “a posteriori granddaughter design” (APGD), 2) to develop methods to derive unbiased estimates of gene effects derived from SNP chips analyses, 3) to derive optimal single-stage methods to estimate breeding values of animals based on marker, phenotypic and pedigree data, 4) to extend these methods to multi-trait genetic evaluations and 5) to evaluate the results of long-term genomic selection, as compared to traditional selection. Nearly all of these objectives were met. The major achievements were: The APGD and the modified granddaughter designs were applied to the US Holstein population, and regions harboring segregating quantitative trait loci (QTL) were identified for all economic traits of interest. The APGD was able to find segregating QTL for all the economic traits analyzed, and confidence intervals for QTL location ranged from ~5 to 35 million base pairs. Genomic estimated breeding values (GEBV) for milk production traits in the Israeli Holstein population were computed by the single-step method and compared to results for the two-step method. The single-step method was extended to derive GEBV for multi-parity evaluation. Long-term analysis of genomic selection demonstrated that inclusion of pedigree data from previous generations may result in less accurate GEBV. Major conclusions are: Predictions using single-step genomic best linear unbiased prediction (GBLUP) were the least biased, and that method appears to be the best tool for genomic evaluation of a small population, as it automatically accounts for parental index and allows for inclusion of female genomic information without additional steps. None of the methods applied to the Israeli Holstein population were able to derive GEBV for young bulls that were significantly better than parent averages. Thus we confirm previous studies that the main limiting factor for the accuracy of GEBV is the number of bulls with genotypes and progeny tests. Although 36 of the grandsires included in the APGD were genotyped for the BovineHDBeadChip, which includes 777,000 SNPs, we were not able to determine the causative polymorphism for any of the detected QTL. The number of valid unique markers on the BovineHDBeadChip is not sufficient for a reasonable probability to find the causative polymorphisms. Complete resequencing of the genome of approximately 50 bulls will be required, but this could not be accomplished within the framework of the current project due to funding constraints. Inclusion of pedigree data from older generations in the derivation of GEBV may result is less accurate evaluations.
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Nessim. L51765 Offshore and Onshore Design Application. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1997. http://dx.doi.org/10.55274/r0010622.

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This report describes the results of a research project on reliability-based optimization of pipeline integrity maintenance activities. The objective was to develop models to quantify the effect of different maintenance activities on the structural reliability of pipelines, and to demonstrate how these models can be used in a relaibility-based framework to develop optimal integrity maintenance plans. The approaches developed can be used to prioritize pipeline segments for maintenance and to select the optimal combination of activites for high priority segments. The maintenance decisions considered include the mainteance method, the time interval between events, and the repair criteria for damage detected by inspection. This report also documents the development of a methodology to quantify the effect of maintenance activities on the structural reliability of pipeline systems.
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