Reliability analysis of concrete-filled steel tube columns under axial compression

Nguyen, Tran-Trung; Nguyen, Phu-Cuong; Tran, Viet Trinh; Pham, Duc-Duy; Benabou, Lahouari

doi:10.1063/5.0067180

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…They use Taguchi, Response surface methodology (RSM) [21], or hybrid approaches such as RSM-GA [22], Taguchi-GA [23], Neural Network-GA [24], and adaptive neuro-fuzzy inference system (ANFIS) [25]. Additionally, the six-sigma reliability analysis can be used to evaluate the design quality in engineering [26][27][28]. This method has not been commonly used in designing CMs due to the complexity of calculating and predicting their response functions.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of Compliant Mechanisms for Vibration- Assisted Machining Applications Using a Hybrid Six Sigma, RSM-FEM, and NSGA-II Approach

Pham¹,

Nguyen²,

Dang³

et al. 2023

Journal of Machine Engineering

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Vibration-assisted machining, a hybrid processing method, has been gaining considerable interest recently due to its advantages, such as increasing material removal rate, enhancing surface quality, reducing cutting forces and tool wear, improving tool life, or minimizing burr formation. Special equipment must be designed to integrate the additional vibration energy into the traditional system to exploit those spectacular characteristics. This paper proposes the design of a new 2-DOF high-precision compliant positioning mechanism using an optimization process combining the response surface method, finite element method, and Six Sigma analysis into a multiobjective genetic algorithm. The TOPSIS method is also used to select the best solution from the Pareto solution set. The optimum design was fabricated to assess its performance in a vibration-assisted milling experiment concerning surface roughness criteria. The results demonstrate significant enhancement in both the manufacturing criteria of surface quality and the design approach criteria since it eliminates modelling errors associated with analytical approaches during the synthesis and analysis of compliant mechanisms.

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