Reliability-based design optimization for fatigue damage analysis

Ibrahim, M. Haisam; Kharmanda, Ghias; Charki, Abdérafi

doi:10.1007/s00170-014-6325-2

Cited by 15 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This integration takes into account the randomness of the applied loads and the geometry description. The RBTO problem is generally written as: where β and β t are the reliability index of the system and the target reliability index, respectively (for more information about reliability methods, see 11 [16]). The integration of reliability analysis into the topology optimization has been carried out by performing two decoupled problems for static studies [2].…”

Section: Reliability-based Topology Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Inverse Optimum Safety Factor Method for Reliability-Based Topology Optimization Applied to Free Vibrated Structures

Kharmanda

Antypas

Dyachenkо

2019

Engineering Technologies and Systems

View full text Add to dashboard Cite

Introduction. The classical topology optimization leads to a prediction of the structural type and overall layout, and gives a rough description of the shape of the outer as well as inner boundaries of the structure. However, the probabilistic topology optimization (or reliability-based topology optimization) model leads to several reliability-based topologies with high performance levels. The objective of this work is to provide an efficient tool to integrate the reliability-based topology optimization model into free vibrated structure. Materials and Methods. The developed tool is called inverse optimum safety method. When dealing with modal analysis, the choice of optimization domain is highly important in order to be able to eliminate material taking account of the constraints of fabrication and without affecting the structure function. This way the randomness can be applied on certain boundary parameters. Results. Numerical applications on free vibrated structures are presented to show the efficiency of the developed strategy. When considering a required reliability level, the resulting topology represents a different topology relative to the deterministic resulting one. Discussion and Conclusion. In addition to its simplified implementation, the developed inverse optimum safety factor strategy can be considered as a generative tool to provide the designer with several solutions for free vibrated structures with different performance levels.

show abstract

Section: Reliability-based Topology Optimizationmentioning

confidence: 99%

“…Considering that the random variable vector follows the normal distribution law, the safety factor can be written as follows 12 [16]:…”

Section: Reliability-based Topology Optimizationmentioning

confidence: 99%

Inverse Optimum Safety Factor Method for Reliability-Based Topology Optimization Applied to Free Vibrated Structures

Kharmanda

Antypas

Dyachenkо

2019

Engineering Technologies and Systems

View full text Add to dashboard Cite

show abstract

“…The endurance limits for the reversed tension stress and torsion stress f-1 and t-1 stated after 2.106 cycles are equal to 252MPa and 182MPa, respectively. For more details about the fatigue data and methods of this example, the interested reader can refer to [12]. The length and the height of the studied plate are: L=0.14 m and H=0.1 m, respectively (Fig.…”

Section: Numerical Applicationmentioning

confidence: 99%

Reliability-Based Design Optimization Using Optimum Safety Factors for Large-Scale Problems

Kharmanda

Antypas

2018

Vestnik Donskogo gosudarstvennogo tehničeskogo universiteta

View full text Add to dashboard Cite

Introduction. Reliability-Based Design Optimization (RBDO) model reduces the structural weight in uncritical regions, does not only provide an improved design but also a higher level of confidence in the design.Materials and Methods. The classical RBDO approach can be carried out in two separate spaces: the physical space and the normalized space. Since very many repeated researches are needed in the above two spaces, the computational time for such an optimization is a big problem. An efficient method called Optimum Safety Factor (OSF) method is developed and successfully put to use in several engineering applications. Research Results. A numerical application on a large scale problem under fatigue loading shows the efficiency of the developed RBDO method relative to the Deterministic Design Optimization (DDO). The efficiency of the OSF method is also extended to multiple failure modes to control several out-put parameters, such as structural volume and damage criterion.Discussion and Conclusions. The simplified implementation framework of the OSF strategy consists of a single optimization problem to evaluate the design point, and a direct evaluation of the optimum solution considering OSF formulations. It provides designers with efficient solutions that should be economic, satisfying a required reliability level with a reduced computing time.

show abstract

“…2,3 When the pantograph worked for a period, some cracks were found in the pantograph CHS and the vane where fatigue failure may occur. To ensure the normal usage of pantograph and reduce accident occurrences, it is necessary to investigate the fatigue life and reliability of the pantograph CHS.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life analysis based on six sigma robust optimization for pantograph collector head support

Feng

2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In this article, a new fatigue life analysis method based on six sigma robust optimization is proposed, which considers the random effects of material properties, external loads, and dimensions on the fatigue life of a pantograph collector head support. Some main random factors are identified through fatigue reliability sensitivity analysis, which are used as input variables during fatigue life analysis. The six sigma optimization model is derived using the second-order response surface method. The response surface is fitted by the Monte Carlo method, the samples are obtained by the Latin hypercube sampling technique, and the proposed model is optimized using the interior point algorithm. Through the optimization, the collector head support weight is reduced, the mean and the standard deviation of fatigue life have been decreased, and the effect of design parameter variation on the fatigue life is reduced greatly. The robustness of fatigue life prediction of collector head support is improved. The proposed method may be extended to fatigue life analysis of other components of electric multiple units.

show abstract

Reliability-based design optimization for fatigue damage analysis

Cited by 15 publications

References 16 publications

Inverse Optimum Safety Factor Method for Reliability-Based Topology Optimization Applied to Free Vibrated Structures

Inverse Optimum Safety Factor Method for Reliability-Based Topology Optimization Applied to Free Vibrated Structures

Reliability-Based Design Optimization Using Optimum Safety Factors for Large-Scale Problems

Fatigue life analysis based on six sigma robust optimization for pantograph collector head support

Contact Info

Product

Resources

About