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    Nondimensional Shape Optimization of Nonprismatic Beams with Sinusoidal Lateral Profile

    Source: Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 001::page 04023191-1
    Author:
    Valerio De Biagi
    ,
    Anna Reggio
    ,
    Marco Martino Rosso
    ,
    Laura Sardone
    DOI: 10.1061/JSENDH.STENG-12493
    Publisher: ASCE
    Abstract: The present paper deals with the optimal design of nonprismatic beams, i.e., beams with variable cross section. To set the optimization problem, Euler-Bernoulli unshearable beam theory is considered and the elastica equation expressing the transverse displacement as a function of the applied loads is reformulated into a system of four differential equations involving kinematic components and internal forces. The optimal solution (in terms of volume) must satisfy two constraints: the maximum Von Mises equivalent stress must not exceed an (ideal) strength, and the maximum vertical displacement is limited to a fraction of beam length. To evaluate the maximum equivalent stress in the beam, normal and shear stresses have been considered. The former was evaluated through the Navier formula, and the latter through a formula derived from Jourawsky and holding for straight and untwisted beams with bisymmetric variable cross sections. The optimal solutions as function of material unit weight, maximum strength, and applied load are presented and discussed. It is shown that the binding constraint is usually represented by the maximum stress in the beam, and that applied load and strength affect the solution more than material unit weight. To maintain the generality of the solution, the nondimensionalization according to Buckingham Π-theorem is implemented and a design abacus is proposed.
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      Nondimensional Shape Optimization of Nonprismatic Beams with Sinusoidal Lateral Profile

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4296770
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    contributor authorValerio De Biagi
    contributor authorAnna Reggio
    contributor authorMarco Martino Rosso
    contributor authorLaura Sardone
    date accessioned2024-04-27T22:29:20Z
    date available2024-04-27T22:29:20Z
    date issued2024/01/01
    identifier other10.1061-JSENDH.STENG-12493.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296770
    description abstractThe present paper deals with the optimal design of nonprismatic beams, i.e., beams with variable cross section. To set the optimization problem, Euler-Bernoulli unshearable beam theory is considered and the elastica equation expressing the transverse displacement as a function of the applied loads is reformulated into a system of four differential equations involving kinematic components and internal forces. The optimal solution (in terms of volume) must satisfy two constraints: the maximum Von Mises equivalent stress must not exceed an (ideal) strength, and the maximum vertical displacement is limited to a fraction of beam length. To evaluate the maximum equivalent stress in the beam, normal and shear stresses have been considered. The former was evaluated through the Navier formula, and the latter through a formula derived from Jourawsky and holding for straight and untwisted beams with bisymmetric variable cross sections. The optimal solutions as function of material unit weight, maximum strength, and applied load are presented and discussed. It is shown that the binding constraint is usually represented by the maximum stress in the beam, and that applied load and strength affect the solution more than material unit weight. To maintain the generality of the solution, the nondimensionalization according to Buckingham Π-theorem is implemented and a design abacus is proposed.
    publisherASCE
    titleNondimensional Shape Optimization of Nonprismatic Beams with Sinusoidal Lateral Profile
    typeJournal Article
    journal volume150
    journal issue1
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-12493
    journal fristpage04023191-1
    journal lastpage04023191-13
    page13
    treeJournal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 001
    contenttypeFulltext
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