Reliability-based design optimization applied to structures submitted to random fatigue loads

Aoues, Younès; Pagnacco, Emmanuel; Lemosse, Didier; Khalij, Leila

doi:10.1007/s00158-016-1604-1

Cited by 4 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to simultaneously enhance the performance and robustness of the fatigue life for a truck cab, Fang et al[18] present a dual Kriging surrogate modeling method to overcome the limitation of classical dual response surface method. The reliability-based design optimization is proposed by the Aoues et al [19,20] and aims to find the most balanced design through a compromise between cost and safety when uncertainties affect the system. Moreover, Gao et al [21] constructed a lightweight optimization model with static strength and weld fatigue constraints for the welded frame of a three-axle bogie, which is solved by an adaptive sequential approximation optimization method based on Kriging models.Most of optimization procedures mentioned above predominately focus on the single optimization objective, such as minimizing structural weight or maximizing lifetime.…”

mentioning

confidence: 99%

Lifetime Assessment and Optimization of a Welded A-Type Frame in a Mining Truck Considering Uncertainties of Material Properties and Structural Geometry and Load

Xiao

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In order to improve the fatigue performance of a welded A-type frame in a heavy off-road mining truck, a novel method was presented to implement lifetime and weight collaborative optimization while considering uncertainties in geometry dimension, material properties, and bearing load. The mechanical and cyclic material parameters were obtained from experimental work to characterize the base metal and the weldment. The finite element model of a welded A-type frame was constructed to analyze stress distribution and predict fatigue life, the force time histories of which were acquired from multi-body dynamics simulation. The simulated failure position and fatigue life had a good agreement with the actual results. Then, both structural lifetime and weight were considered as optimization objectives. The thickness of main steel plates and elastic and cyclic material parameters were chosen as uncertain design variables as well as main loads at connection locations. The fifty sample points in the light of Latin hypercube sampling method and its responses calculated by finite element analysis were supposed to build the approximation model based on the Kriging approximation method. After its fitting precision was guaranteed, the non-dominated sorting genetic algorithm II (NSGA-II) was utilized to find the optimal solution. Finally, the fatigue life of a welded A-type frame was increased to 2.40×105 cycles and its mass was lessened by 8.2%. The optimized results implied that good fatigue performance of this welded A-type frame needs better welding quality, lower running speed for downhill and turning road surface, and thicker front plates.

show abstract

mentioning

confidence: 99%

Lifetime Assessment and Optimization of a Welded A-Type Frame in a Mining Truck Considering Uncertainties of Material Properties and Structural Geometry and Load

Xiao

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

Reliability-Based Design Optimization for Design Problems with Random Fuzzy and Interval Uncertainties

Zhang

Meng

Zhang³

2019

Int. J. Comput. Methods

View full text Add to dashboard Cite

Reliability-based design optimization (RBDO) has been widely used in mechanical design. However, the treatment of various uncertainties and associated computational burden are still the main obstacle of its application. A methodology of RBDO under random fuzzy and interval uncertainties (RFI-RBDO) is proposed in this paper. In the proposed methodology, two reliability analysis approaches, respectively named as FORM-[Formula: see text]-URA and interpolation-based sequential performance measurement approach (ISPMA), are developed for the mixed uncertainties assessment, and a parallel-computing-based SOMUA (PCSOMUA) method is proposed to reduce the computational cost of RFI-RBDO. Finally, two examples are provided to verify the validity of the methods.

show abstract

A Semi-Parallel Active Learning Method Based on Kriging for Structural Reliability Analysis

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

The reliability analysis system is currently evolving, and reliability analysis efforts are also focusing more on correctness and efficiency. The effectiveness of the active learning Kriging metamodel for the investigation of structural system reliability has been demonstrated. In order to effectively predict failure probability, a semi-parallel active learning method based on Kriging (SPAK) is developed in this study. The process creates a novel learning function called UA, which takes the correlation between training points and samples into account. The UA function has been developed from the U function but is distinct from it. The UA function improves the original U function, which pays too much attention to the area near the threshold and the accuracy of the surrogate model is improved. The semi-parallel learning method is then put forth, and it works since UA and U functions are correlated. One or two training points will be added sparingly during the model learning iteration. It effectively lowers the required training points and iteration durations and increases the effectiveness of model building. Finally, three numerical examples and one engineering application are carried out to show the precision and effectiveness of the suggested method. In application, evaluation efficiency is increased by at least 14.5% and iteration efficiency increased by 35.7%. It can be found that the proposed algorithm is valuable for engineering applications.

show abstract

Reliability-based design optimization applied to structures submitted to random fatigue loads

Cited by 4 publications

References 33 publications

Lifetime Assessment and Optimization of a Welded A-Type Frame in a Mining Truck Considering Uncertainties of Material Properties and Structural Geometry and Load

Lifetime Assessment and Optimization of a Welded A-Type Frame in a Mining Truck Considering Uncertainties of Material Properties and Structural Geometry and Load

Reliability-Based Design Optimization for Design Problems with Random Fuzzy and Interval Uncertainties

A Semi-Parallel Active Learning Method Based on Kriging for Structural Reliability Analysis

Contact Info

Product

Resources

About