Search results for "Optimization problem"

showing 10 items of 281 documents

Reliability-based design optimization of trusses under dynamic shakedown constraints

2019

A reliability-based design optimization problem under dynamic shakedown constraints for elastic perfectly plastic truss structures subjected to stochastic wind actions is presented. The simultaneous presence of quasi-static (cyclic) thermal loads is also considered. As usual in the shakedown theory, the quasi-statical loads will be defined as variable within a deterministic domain, while the dynamic problem will be treated considering an extended Ceradini-Gavarini approach. Some sources of uncertainties are introduced in the structural system and in the load definition. The reliability-optimization problem is formulated as the minimization of the volume of the structure subjected to determi…

Mathematical optimizationControl and OptimizationOptimization problemComputer scienceMonte Carlo methodStructural system0211 other engineering and technologiesTruss02 engineering and technology0203 mechanical engineeringDynamic problemReliability-based designDynamic shakedownReliability (statistics)021106 design practice & managementElastic plastic trusseProbabilistic logicComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputer Science ApplicationsShakedown020303 mechanical engineering & transportsControl and Systems EngineeringSettore ICAR/08 - Scienza Delle CostruzioniSoftwareStochastic wind loadStructural and Multidisciplinary Optimization
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Regularity and strong sufficient optimality conditions in differentiable optimization problems

1993

This paper studies the metric regularity of multivalued functions on Banach spaces, tangential approximations of the feasible set and strong sufficient optimality conditions of a parametrized optimization problem minimize The results are applied to the tangent approximations and the local stability properties of solutions of this perturbed optimization problem.

Mathematical optimizationControl and OptimizationOptimization problemMultivalued functionFeasible regionStability (learning theory)Banach spaceTangentComputer Science ApplicationsSignal ProcessingMetric (mathematics)Differentiable functionAnalysisMathematicsNumerical Functional Analysis and Optimization
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Stochastic Approach for Optimal Positioning of Pumps As Turbines (PATs)

2021

A generic water system consists of a series of works that allow the collection, conveyance, storage and finally the distribution of water in quantities and qualities such as to satisfy the needs of end users. In places characterized by high altitude differences between the intake works and inhabited centres, the potential energy of the water is very high. This energy is attributable to high pressures, which could compromise the functionality of the pipelines

Mathematical optimizationEnergy recoveryOptimization problemEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industryComputer scienceenergy recoveryGeography Planning and DevelopmentMonte Carlo methodSortingTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesEnvironmental sciencesPipeline transportSoftwareGenetic algorithmGE1-350pump as turbinebusinesswater distribution systemEnergy (signal processing)Bayesian Monte Carlo methodSustainability
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A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods

2015

Computationally expensive multiobjective optimization problems arise, e.g. in many engineering applications, where several conflicting objectives are to be optimized simultaneously while satisfying constraints. In many cases, the lack of explicit mathematical formulas of the objectives and constraints may necessitate conducting computationally expensive and time-consuming experiments and/or simulations. As another challenge, these problems may have either convex or nonconvex or even disconnected Pareto frontier consisting of Pareto optimal solutions. Because of the existence of many such solutions, typically, a decision maker is required to select the most preferred one. In order to deal wi…

Mathematical optimizationEngineeringControl and Optimizationbusiness.industryPareto principlePareto frontierDecision makerSampling techniqueComputer Graphics and Computer-Aided DesignMulti-objective optimizationComputer Science ApplicationsMultiobjective optimization problemPareto optimalConflicting objectivesBlack-box functionControl and Systems EngineeringMulticriteria Decision Making (MCDM)Computational costNature inspiredMetamodeling techniquebusinessEngineering design processSoftwareStructural and Multidisciplinary Optimization
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Design of sheet stamping operations to control springback and thinning: a multi-objective stochastic optimization approach

2010

Abstract The aim of this paper is to develop a design tool for stamping processes, which is able to deal with the scattering of the final part quality due to the inner variability of such operations. Such variability is one of the main drawbacks for a robust process design. It results in a scattering of the most significant process results and depends on several parameters. The so called noise factors greatly influence final result variability, which often means rejecting parts and anyway achieving final properties different from the specified ones. The process investigated in the paper is an S-shaped U-channel stamping operation carried out on a lightweight aluminum alloy of automotive int…

Mathematical optimizationEngineeringFEMOptimization problemSpringbackbusiness.industryMechanical EngineeringDesign toolStochastic optimizationProcess designStampingCondensed Matter PhysicsStochastic programmingMechanics of MaterialsDesign processGeneral Materials ScienceStochastic optimizationEngineering design processbusinessThinningResponse Surface MethodologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSimulationCivil and Structural Engineering
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A Comparative Analysis of Different Robust Design Approaches in Sheet Stamping Operations

2011

A crucial issue in sheet stamping optimization problems is related to the process robustness improvement: critical scattering in the investigated performances arises due to some noise variables influence, often evolving up design failure itself. In fact, strong variations in the final stamped part or fluctuations of strain distribution may lead to an uncontrolled process design. Such variability cannot be controlled but anyway it is possible to develop proper design tools able to identify robust process calibrations above which the noises variations effects are admissible. In this paper, a multi‐objective optimization problem was analyzed, with the aim to minimize both excessive thinning an…

Mathematical optimizationEngineeringFEMOptimization problembusiness.industryStochastic processProcess designStampingmeta-modelingFinite element methodReliability engineeringRobust designspringbackmulti-objective optimizationRobustness (computer science)Strain distributionrobust designbusinessThinningSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Moving Least Squares Innovative Strategies For Sheet Forming Design

2011

In the last years a great interest in optimization algorithms aimed to design forming processes was demonstrated by many researches. Proper design methodologies to reduce times and costs have to be developed mostly based on computer aided procedures. Response surface methods (RSM) proved their effectiveness in the recent years also for the application in sheet metal forming aiming to reduce the number of numerical simulations. Actually, the main drawback of such method is the number of direct problem to be solved in order to reach good function approximations. A very interesting aspect in RSM application regards the possibility to build response surfaces basing on moving least squares appro…

Mathematical optimizationEngineeringOptimization problemComputer simulationbusiness.industryForming processesFunction approximationSheet metal forming design moving least squares optimizationvisual_artvisual_art.visual_art_mediumCurve fittingMoving least squaresSheet metalbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneInterpolationAIP Conference Proceedings
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A contribution on the optimization strategies based on moving least squares approximation for sheet metal forming design

2012

Computer-aided procedures to design and optimize forming processes are, nowadays, crucial research topics since industrial interest in costs and times reduction is always increasing. Many researchers have faced this research challenge with various approaches. Response surface methods (RSM) are probably the most known approaches since they proved their effectiveness in the recent years. With a peculiar attention to sheet metal forming process design, RSM should offer the possibility to reduce the number of numerical simulations which in many cases means to reduce design times and complexity. Actually, the number of direct problems (FEM simulations) to be solved in order to reach good functio…

Mathematical optimizationEngineeringOptimization problembusiness.industryMechanical EngineeringForming processesComputer aided optimizationSheet metal formingIndustrial and Manufacturing EngineeringComputer Science ApplicationsReduction (complexity)Function approximationControl and Systems Engineeringvisual_artKey (cryptography)visual_art.visual_art_mediumZoomMoving least squaresMoving least squares methodologySheet metalbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSoftware
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Deep Drawing Process Design: A Multi Objective Optimization Approach

2009

In sheet metal forming most of the problems are multi objective problems, generally characterized by conflicting objectives. The definition of proper parameters aimed to prevent both wrinkles and fracture is a typical example of an optimization problem in sheet metal forming characterized by conflicting goals. What is more, nowadays, a great interest would be focused on the availability of a cluster of possible optimal solutions instead of a single one, particularly in an industrial environment. Thus, the design parameters calibration, accomplishing all the objectives, is difficult and sometimes unsuccessful. In order to overcome this drawback a multi-objectives optimization procedure based…

Mathematical optimizationEngineeringOptimization problembusiness.industryMechanical EngineeringProcess designTrial and errorMulti-objective optimizationBlankMechanics of MaterialsGeneral Materials ScienceProcess windowResponse surface methodologyDeep drawingbusinessKey Engineering Materials
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Non-linear optimization of track layouts in loop-sorting-systems

2013

Optimization used for enhancing geometric structures iswell known. Applying obstacles to the shape optimization problemis on the other hand not very common. It requires a fast contact search algorithmand an exact continuous formulation to solve the problem robustly. This paper focuses on combining shape optimization problemswith collision avoidance constraints by which a collision detection algorithmis presented. The presentedmethod is tested against the commercial loop-sorting-system used for sorting of medium sized items. The objective is to minimize price and footprint of the system whilemaintaining its functionality. Contact constraints are in this context important to include as variou…

Mathematical optimizationEngineeringOptimization problembusiness.industrySortingContext (language use)Building and ConstructionVector optimizationControl and Systems EngineeringSearch algorithmCollision detectionShape optimizationMulti-swarm optimizationbusinessCivil and Structural Engineering
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