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    Cold-Formed Cross-Sectional Folds with Optimal Signature Curve

    Source: Journal of Engineering Mechanics:;2024:;Volume ( 150 ):;issue: 008::page 04024045-1
    Author:
    Babak Ahmadi
    ,
    Shayan Razi
    ,
    Mohammad P. Saghand
    ,
    Navid Changizi
    ,
    Arash S. Fallah
    ,
    Mazdak Tootkaboni
    DOI: 10.1061/JENMDT.EMENG-7708
    Publisher: American Society of Civil Engineers
    Abstract: A novel figure of merit based on the concept of signature curve for cold formed steel (CFS) cross sections is used to improve the structural member’s overall behavior regardless of length and boundary conditions. The objective is defined as the area under the signature curve, plus a penalty function that ensures improved performance over standard sections at specified lengths. Charged system search (CSS), a meta-heuristic optimization algorithm, is used to search the design space. End-use and other geometrical constraints suggested by previous studies are considered to arrive at practical cross sections. This includes limiting the fold angles to minimize sharp corners in the optimized cross sections, which might result in residual stresses that diminish axial capacity. Such nonlinear constraints are also taken into account using penalty functions to facilitate integration with the heuristic optimization process. The proposed strategy is examined through a couple of illustrative examples and is shown to yield higher axial capacity at all points when combined with the proper penalization. The optimized cross sections are also analyzed in simple-simple and clamped-clamped boundary conditions showing improved axial capacity compared to the standard lipped-channel sections with the same coil width.
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      Cold-Formed Cross-Sectional Folds with Optimal Signature Curve

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298903
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    • Journal of Engineering Mechanics

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    contributor authorBabak Ahmadi
    contributor authorShayan Razi
    contributor authorMohammad P. Saghand
    contributor authorNavid Changizi
    contributor authorArash S. Fallah
    contributor authorMazdak Tootkaboni
    date accessioned2024-12-24T10:25:46Z
    date available2024-12-24T10:25:46Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherJENMDT.EMENG-7708.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298903
    description abstractA novel figure of merit based on the concept of signature curve for cold formed steel (CFS) cross sections is used to improve the structural member’s overall behavior regardless of length and boundary conditions. The objective is defined as the area under the signature curve, plus a penalty function that ensures improved performance over standard sections at specified lengths. Charged system search (CSS), a meta-heuristic optimization algorithm, is used to search the design space. End-use and other geometrical constraints suggested by previous studies are considered to arrive at practical cross sections. This includes limiting the fold angles to minimize sharp corners in the optimized cross sections, which might result in residual stresses that diminish axial capacity. Such nonlinear constraints are also taken into account using penalty functions to facilitate integration with the heuristic optimization process. The proposed strategy is examined through a couple of illustrative examples and is shown to yield higher axial capacity at all points when combined with the proper penalization. The optimized cross sections are also analyzed in simple-simple and clamped-clamped boundary conditions showing improved axial capacity compared to the standard lipped-channel sections with the same coil width.
    publisherAmerican Society of Civil Engineers
    titleCold-Formed Cross-Sectional Folds with Optimal Signature Curve
    typeJournal Article
    journal volume150
    journal issue8
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/JENMDT.EMENG-7708
    journal fristpage04024045-1
    journal lastpage04024045-13
    page13
    treeJournal of Engineering Mechanics:;2024:;Volume ( 150 ):;issue: 008
    contenttypeFulltext
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