Reliability based design optimization of structures considering several incomplete configurations

Cid, Clara; Baldomir, Aitor; Hernández, Santiago

doi:10.2514/6.2016-4290

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Subsequently, the previous approach was completed by introducing the hypothesis that some parameters affecting the structural responses of intact and damaged models were random in nature, leading to a probabilistic approach, denoted as fail-safe RBDO. Cid et al [8,9] formulated this method where it is necessary to solve the reliability analyses on the intact structure and the damaged configurations simultaneously at each iteration of the optimization process. The formulation of the fail-safe RBDO is shown in Eq.…”

Section: Fail-safe Rbdomentioning

confidence: 99%

“…The only way of increasing the reliability in those approaches is by the use of partial safety factors. Thus, Cid et al [8,9], made a further step by proposing a fail-safe probabilistic approach, in which these uncertainty data were taken into account in the failsafe design. In that research, the reliability index associated with each limit-state had to be guaranteed in the intact model and all damaged scenarios simultaneously.…”

Section: Introductionmentioning

confidence: 99%

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Reliability index based strategy for the probability-damage approach in fail-safe design optimization (β-PDFSO)

Cid

Baldomir

Hernández

2022

Engineering with Computers

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This research proposes a new formulation for fail-safe size optimization, considering the probability of occurrence of each failure scenario and the random structural parameters as sources of uncertainty. Essentially, the fail-safe reliability-based design optimization is reformulated, where the term “damaged structure” coalesces information of the whole set of damaged configurations. Thus, a single random reliability index is defined, representing the reliability of a limit-state of the damaged structure, which accounts for the safety level of the entire set of damaged configurations. The method provides the optimum design for which the reliability indices of the damaged structure are achieved at the confidence level the designer demands. The first application example corresponds to an academic analytical problem. The second and third application examples correspond to practical engineering cases: a 2D truss structure with stress constraints as well as the tail section of an aircraft fuselage with stress and buckling constraints. Results show a considerable reduction of the objective function compared to the fail-safe RBDO, which could lead to oversized designs. In this sense, mass savings up to 13.6% are achieved for the industrial-like application example.

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Section: Fail-safe Rbdomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%