Control of uncertainties within an interdisciplinary design approach of a robust high heel

Mosch, Lucia; Adolph, Siri; Betz, R.E.; Eckhardt, J.; Tizi, A.; Mathias, Johannes; Bohn, Andrea; Habermehl, Kai; Ulbrich, Stefan

doi:10.1590/s1678-58782012000600008

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…On the other hand, modern systems require more sophisticated and critical designs that must operate with great dependability, tight safety margins, and high performance. Design approaches for analyzing uncertainty have become more popular as a result and are now being applied in the context of interdisciplinary design [1,2].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Life Uncertainty Quantification of Front Suspension Lower Control Arm Design

Abebe

Koo

2023

Vehicles

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The purpose of this study is to investigate the uncertainty of the design variables of a front suspension lower control arm under fatigue-loading circumstances to estimate a reliable and robust product. This study offers a method for systematic uncertainty quantification (UQ), and the following steps were taken to achieve this: First, a finite element model was built to predict the fatigue life of the control arm under bump-loading conditions. Second, a sensitivity scheme, based on one of the global analyses, was developed to identify the model’s most and least significant design input variables. Third, physics-based and data-driven uncertainty quantification schemes were employed to quantify the model’s input parameter uncertainties via a Monte Carlo simulation. The simulations were conducted using 10,000 samples of material properties and geometrical uncertainty variables, with the coefficients of variation ranging from 1 to 3%. Finally, the confidence interval results show a deviation of about 21.74% from the mean (the baseline). As a result, by applying systematic UQ, a more reliable and robust automobile suspension control arm can be designed during the early stages of design to produce a more efficient and better approximation of fatigue life under uncertain conditions.

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Section: Introductionmentioning

confidence: 99%

Fatigue Life Uncertainty Quantification of Front Suspension Lower Control Arm Design

Abebe

Koo

2023

Vehicles

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“…employ the stochastic finite element method to investigate uncertainty propagation in the dynamics of flexible rotors. Martin (2012) investigates roles and interactions in inverse acoustic models, covering acoustic holography and holophony Mosch et al (2012). present an interdisciplinary design approach to address the control of uncertainties in a ubiquitous load carrying system: a robust high heel.…”

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confidence: 99%