Optimality Criteria Solution Strategies in Multiple-Constraint Design Optimization

Levy, R.; Parzynski, William R.

doi:10.2514/3.51128

Cited by 7 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective values are useful only if the outputs from the simulation are objective [4,5]. These values can only be guaranteed by more complex and multiple simulations [1].…”

Section: Design Studymentioning

confidence: 99%

Effective Methods of Parameters Refinement of Machinery in the Program MSC.ADAMS

Sapietová

Sága

Hyben

et al. 2014

AMM

View full text Add to dashboard Cite

As a result of a large number of optimising problems, the classification of these problems is essential in the analysis of a given task. One of the parameters significantly affecting the speed and effectiveness of the solution is the correct choice of the optimising variables. We start from the fact that not all the optimising variables have the same influence on the selected objective functions. The goal of the paper is to present a sensitivity analysis which will exclude optimising variables of lower influence and select parameters which will serve as design variables in subsequent optimising analysis.

show abstract

“…The objective values are useful only if the outputs from the simulation are objective [4,5]. These values can only be guaranteed by more complex and multiple simulations [1].…”

Section: Design Studymentioning

confidence: 99%

Effective Methods of Parameters Refinement of Machinery in the Program MSC.ADAMS

Sapietová

Sága

Hyben

et al. 2014

AMM

View full text Add to dashboard Cite

show abstract

“…The objective values are useful only if the outputs from the simulation are objective [5,6]. These values can only be guaranteed by more complex and multiple simulations [7].…”

Section: Design Studymentioning

confidence: 99%

Synthesis of a Pumping Unit With Consideration of a Flexible Member in the System

Sapietová¹,

Sekerka²,

Vaško³

et al. 2016

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

show abstract

“…If a force P(x) exp(jwt) is applied in the transverse direction, the movement equation for transverse displacement u(x) exp(jwt) can be approximated as the solution of the following equation: (1) in which I , is the moment of inertia of the elastic material in relation to the neutral axis of the composite beam; I , is that of the viscoelastic material. El is the Young's modulus for elastic material.…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Optimal structural design with damping constraint limitations

Suweca

Jézéquel

1992

Numerical Meth Engineering

View full text Add to dashboard Cite

SUMMARYThe algorithm optimization presented uses the optimality criteria method so as to minimize the total weight of the structure in the presence of a constraint of the damping type. The goal of this study is to increase the structural damping by optimizing the viscoelastic and elastic material distribution over the structure. The types of damping considered are hysteristic. The gradient of the constraint function in relation to the design variables is calculated with the aid of a complex variable sensitivity method. Several numerical results are presented to validate the algorithm proposed.

show abstract

Optimality Criteria Solution Strategies in Multiple-Constraint Design Optimization

Cited by 7 publications

References 5 publications

Effective Methods of Parameters Refinement of Machinery in the Program MSC.ADAMS

Effective Methods of Parameters Refinement of Machinery in the Program MSC.ADAMS

Synthesis of a Pumping Unit With Consideration of a Flexible Member in the System

Optimal structural design with damping constraint limitations

Contact Info

Product

Resources

About