2020
DOI: 10.32347/2410-2547.2020.104.265-288
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An improved gradient-based method to solve parametric optimisation problems of the bar structures

Abstract: The paper considers parametric optimisation problems for the bar structures formulated as nonlinear programming tasks. The method of the objective function gradient projection onto the active constraints surface with simultaneous correction of the constraints violations has been used to solve the parametric optimisation problem. Equivalent Householder transformations of the resolving equations of the method have been proposed. They increase numerical efficiency of the algorithm developed based on the method un… Show more

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Cited by 3 publications
(2 citation statements)
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“…The parametric optimization problem stated as non-linear programming task by (1.1) -(1.3) can be successfully solved using a gradient projection non-linear methods [21] in cases if the purpose function and constraints of the mathematical model are continuously differentiable functions, as well as the search space is smooth [22,23]. The method of objective function gradient projection onto the active constraints surface with simultaneous correction of the constraints violations ensures effective searching for solution of the nonlinear programming tasks occurred when optimum designing of the building structures [24,25]. Additionally, a sensitivity analysis is a useful optional feature [26] that could be used in the scope of numerical algorithms which are developed based on the gradient methods.…”
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confidence: 99%
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“…The parametric optimization problem stated as non-linear programming task by (1.1) -(1.3) can be successfully solved using a gradient projection non-linear methods [21] in cases if the purpose function and constraints of the mathematical model are continuously differentiable functions, as well as the search space is smooth [22,23]. The method of objective function gradient projection onto the active constraints surface with simultaneous correction of the constraints violations ensures effective searching for solution of the nonlinear programming tasks occurred when optimum designing of the building structures [24,25]. Additionally, a sensitivity analysis is a useful optional feature [26] that could be used in the scope of numerical algorithms which are developed based on the gradient methods.…”
mentioning
confidence: 99%
“…3.1. Design scheme of the cross beam structure with node and bar numbersThe cross-beam structure is subjected to the distributed dead and live loads with characteristic value25.44 q  t/m. Applied loadings on the considered cross-beam structure are transmitted using mezzanine beams arranged with step 1m.For considered cross-beam structure, steel with the following material properties is used: design resistance 240 y R  MPa, modulus of elasticity…”
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confidence: 99%