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In the optimization of turbomachinery components, shape sensitivities for fluid dynamical objective functions have been used for a long time. As peak stress is not a differential func- tional of the shape, such highly efficient procedures…

Mechanical components that are exposed to cyclic mechanical loading fail at loads that are well below the ultimate tensile strength. This process is known as fatigue. The failure time, that is the time when a first crack forms, is highly…

最优化与控制 · 数学 2016-02-29 L. Bittner , H. Gottschalk , M. Gröger , N. Moch , M. Saadi , S. Schmitz

The analysis of standardized low cycle fatigue (LCF) experiments shows that the failure times widely scatter. Furthermore, mechanical components often fail before the deterministic failure time is reached. A possibility to overcome these…

材料科学 · 物理学 2022-07-07 M. Harder , P. Lion , L. Mäde , T. Beck , H. Gottschalk

Fatigue life of components or test specimens often exhibit a significant scatter. Furthermore, size effects have a non-negligible influence on fatigue life of parts with different geometries. We present a new probabilistic model for…

An accurate risk assessment for fatigue damage is of vital importance for the design and service of today's turbomachinery components. We present an approach for quantifying the probability of crack initiation due to surface driven…

数值分析 · 数学 2013-02-14 Sebastian Schmitz , Georg Rollmann , Hanno Gottschalk , Rolf Krause

The failure of a component often is the result of a degradation process that originates with the formation of a crack. Fatigue describes the crack formation in the material under cyclic loading. Activation and deactivation operations of…

最优化与控制 · 数学 2013-10-30 Hanno Gottschalk , Sebastian Schmitz

Ceramic is a material frequently used in industry because of its favorable properties. Common approaches in shape optimization for ceramic structures aim to minimize the tensile stress acting on the component, as it is the main driver for…

最优化与控制 · 数学 2017-05-17 Matthias Bolten , Hanno Gottschalk , Camilla Hahn , Mohamed Saadi

A probabilistic risk assessment for low cycle fatigue (LCF) based on the so-called size effect has been applied on gas-turbine design in recent years. In contrast, notch support modeling for LCF which intends to consider the change in…

数值分析 · 数学 2017-02-21 Lucas Mäde , Sebastian Schmitz , Georg Rollmann , Hanno Gottschalk , Tilmann Beck

In the present study, a general probabilistic design framework is developed for cyclic fatigue life prediction of metallic hardware using methods that address uncertainty in experimental data and computational model. The methodology…

计算工程、金融与科学 · 计算机科学 2017-09-27 Danial Faghihi , Subhasis Sarkar , Mehdi Naderi , Lloyd Hackel , Nagaraja Iyyer

An accurate assessment for fatigue damage as a function of activation and deactivation cycles is vital for the design of many engineering parts. In this paper we extend the probabilistic and local approach to this problem proposed in [1,2]…

数值分析 · 数学 2013-10-03 Sebastian Schmitz , Georg Rollmann , Hanno Gottschalk , Rolf Krause

A new gradient-based formulation for predicting fracture in elastic-plastic solids is presented. Damage is captured by means of a phase field model that considers both the elastic and plastic works as driving forces for fracture. Material…

计算工程、金融与科学 · 计算机科学 2021-08-12 S. S. Shishvan , S. Assadpour-asl , E. Martínez-Pañeda

In recent years a local probabilistic model for low cycle fatigue (LCF) based on the statistical size effect has been developed and applied on engineering components. Here, the notch support extension based on the stress gradient effect is…

材料科学 · 物理学 2017-09-04 Lucas Mäde , Sebastian Schmitz , Hanno Gottschalk , Tilman Beck

A probabilistic approach to phase-field brittle and ductile fracture with random material and geometric properties is proposed within this work. In the macroscopic failure mechanics, materials properties and exactness of spatial quantities…

数值分析 · 数学 2022-08-10 Nima Noii , Amirreza Khodadadian , Fadi Aldakheel

Several aspects influence corrosive processes in RC structures, such as environmental conditions, structural geometry, and mechanical properties. Since these aspects present large randomnesses, probabilistic models allow a more accurate…

数值分析 · 数学 2021-04-20 Karolinne O. Coelho , Edson D. Leonel , Julio Flórez-López

Accurate estimates of long-term risk probabilities and their gradients are critical for many stochastic safe control methods. However, computing such risk probabilities in real-time and in unseen or changing environments is challenging.…

系统与控制 · 电气工程与系统科学 2024-08-20 Zhuoyuan Wang , Yorie Nakahira

We consider the simultaneous optimization of the reliability and the cost of a ceramic component in a biobjective PDE constrained shape optimization problem. A probabilistic Weibull-type model is used to assess the probability of failure of…

We propose and analyze a method for computing failure probabilities of systems modeled as numerical deterministic models (e.g., PDEs) with uncertain input data. A failure occurs when a functional of the solution to the model is below (or…

数值分析 · 数学 2016-06-21 Daniel Elfverson , Fredrik Hellman , Axel Målqvist

This paper addresses the computational challenges in reliability-based topology optimization (RBTO) of structures associated with the estimation of statistics of the objective and constraints using standard sampling methods, and overcomes…

最优化与控制 · 数学 2021-07-27 Subhayan De , Kurt Maute , Alireza Doostan

Predicting potential risks associated with the fatigue of key structural components is crucial in engineering design. However, fatigue often involves entangled complexities of material microstructures and service conditions, making…

机器学习 · 计算机科学 2024-02-13 Yingjie Zhao , Yong Liu , Zhiping Xu

A numerical framework for simulating progressive failure under high-cycle fatigue loading is validated against experiments of composite quasi-isotropic open-hole laminates. Transverse matrix cracking and delamination are modeled with a…

计算工程、金融与科学 · 计算机科学 2024-05-06 P. Hofman , F. P. van der Meer , L. J. Sluys
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