In this work, the reliability analysis is employed to take into account the uncertainties in a structure. Reliability analysis is a tool to compute the probability of failure corresponding to a given failure mode. In this study, one of the most commonly used reliability analysis method namely first order reliability method is used to calculate the probability of failure.
Since finding the most probable point (MPP) or design point is a constrained optimization problem, in contrast to all the previous studies based on the penalty function method or the preference of the feasible solutions technique, in this study one of the latest versions of the differential evolution metaheuristic algorithm named improved (μ+λ)-constrained differential evolution (ICDE) based on the multi-objective constraint-handling technique is utilized. The ICDE is very easy to imple-
Prediction of the onset of failure due to localized necking has an important role on the determination of the formability of sheet metal, especially dual-phase steels, because of their increasing applications in the automotive industry. In the present study, a new application of the M-K model and theoretical forming limit diagram has been proposed. It is shown that this model can be useful in predicting the effect of microstructural aspects on the formability of dual-phase steels. For this purpose, the limiting strains of the dual-phase (ferrite-martensite) steel under different martensite volume fractions have been calculated. Furthermore, the effect of the heating rate on the formability of the DP samples has been predicted. To solve the non-linear system of equations, the modified Newton-Raphson method has been used. The results show that the limiting strains decrease by increasing the amount of martensite volume fractions. Furthermore, by increasing the heating rate, the dependence of the forming limit curves on the martensite volume fraction will be decreased.
The purpose of this report is to investigate the design development and evaluate the structural and functional performance of the proposed system for the 2019 competition. With the review of the literature surrounding rear suspension systems, FSAE standards, analysis techniques and important design parameters, the foundation for the proposed James Cook University (JCU) 2019 rear suspension system is established. This paper is highlighted the development and analysis path undertaken in the construction of rear suspension system befitting a Formula SAE vehicle. Formula SAE is an international student competition centered on the design, construction and racing of an internal combustion vehicle. All parts are designed via SolidWorks and FEA testing is incorporated using ANSYS to test out various loads under different scenarios in racing. Main components including beam axle, trailing arms, brackets, spring and damper are covered in this paper. The design is focused on providing a low cost and easy to manufacture design which operate for infinite life cycles.
New products ranging from simple components to complex structures should be designed to be optimal and reliable. In this paper, for the first time, a hybrid uncertain model is applied to system reliability based design optimization (RBDO) of trusses. All uncertain variables are described by random distributions but those lack information are defined by variation intervals. For system RBDO of trusses, the first order reliability method, as well as an equivalent model and the branch and bound method, are utilized to determine the system failure probability; and Improved (μ + λ) constrained differential evolution (ICDE) is employed for the optimization process. Reliability assessment of some engineering examples is proposed to verify our results. Moreover, the effect interval variables on the optimum weight of the truss structures are investigated. The results indicate that the optimal weight depends not only on the uncertainty level but also on the equivalent standard deviation; and a falling-rising behavior is observed.
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