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Probabilistic model-based diagnosis computes the posterior probabilities of failure of components from the prior probabilities of component failure and observations of system behavior. One problem with this method is that such priors are…

人工智能 · 计算机科学 2013-02-21 Sampath Srinivas

Accurate prediction of structural dynamics is imperative for preserving digital twin fidelity throughout operational lifetimes. Parametric models with fixed nominal parameters often omit critical physical effects due to simplifications in…

机器学习 · 统计学 2026-01-12 Rohan Vitthal Thorat , Rajdip Nayek

Fatigue fracture in ductile materials, e. g. metals, is caused by cyclic plasticity. Especially regarding the high numbers of load cycles, plastic material models resolving the full loading path are computationally very demanding. Herein, a…

材料科学 · 物理学 2019-10-24 Martha Seiler , Thomas Linse , Peter Hantschke , Markus Kästner

An image-based deep learning framework is developed in this paper to predict damage and failure in microstructure-dependent composite materials. The work is motivated by the complexity and computational cost of high-fidelity simulations of…

机器学习 · 计算机科学 2022-06-07 Reza Sepasdar , Anuj Karpatne , Maryam Shakiba

We demonstrate an adaptive sampling approach for computing the probability of a rare event for a set of three-dimensional airplane geometries under various flight conditions. We develop a fully automated method to generate parameterized…

计算工程、金融与科学 · 计算机科学 2021-09-09 Runda Ji , Qiqi Wang

It is common to manufacture an object by decomposing it into parts that can be assembled. This decomposition is often required by size limits of the machine, the complex structure of the shape, etc. To make it possible to easily assemble…

计算工程、金融与科学 · 计算机科学 2023-10-31 Xingyuan Sun , Chenyue Cai , Ryan P. Adams , Szymon Rusinkiewicz

This paper presents a novel stochastic framework to quantify the knock down in strength from out-of-plane wrinkles at the coupon level. The key innovation is a Markov Chain Monte Carlo algorithm which rigorously derives the stochastic…

应用统计 · 统计学 2019-01-17 Anhadjeet Sandhu , Anne Reinarz , Timothy Dodwell

Probabilistic load forecasting (PLF) is a key component in the extended tool-chain required for efficient management of smart energy grids. Neural networks are widely considered to achieve improved prediction performances, supporting highly…

信号处理 · 电气工程与系统科学 2021-01-12 Alessandro Brusaferri , Matteo Matteucci , Stefano Spinelli , Andrea Vitali

This study aims to investigate whether fatigue damage induced by bottom wave slamming can be a failure mode important to consider when sizing a marine structural element. The body exposed to wave impacts is assumed to have a shape and…

流体动力学 · 物理学 2025-12-15 Romain Hascoët , Nicolas Jacques

The presence of uncertainty in material properties and geometry of a structure is ubiquitous. The design of robust engineering structures, therefore, needs to incorporate uncertainty in the optimization process. Stochastic gradient descent…

最优化与控制 · 数学 2019-11-26 Subhayan De , Kurt Maute , Alireza Doostan

Solids subjected to repeated cycles of stress or deformation can fail after several cycles, a phenomenon termed fatigue failure. Although intensely investigated for a wide range of materials owing to its obvious practical importance, a…

软凝聚态物质 · 物理学 2024-09-27 Swarnendu Maity , Himangsu Bhaumik , Shivakumar Athani , Srikanth Sastry

This work proposes a parametric probabilistic approach to model damage accumulation using the double linear damage rule (DLDR) considering the existence of limited experimental fatigue data. A probabilistic version of DLDR is developed in…

计算工程、金融与科学 · 计算机科学 2024-10-11 João Paulo Dias , Stephen Ekwaro-Osire , Americo Cunha , Shweta Dabetwar , Abraham Nispel , Fisseha M. Alemayehu , Haileyesus B. Endeshaw

Control barrier functions (CBFs) have recently been introduced as a systematic tool to ensure safety by establishing set invariance. When combined with a control Lyapunov function (CLF), they form a safety-critical control mechanism.…

系统与控制 · 电气工程与系统科学 2024-04-22 Mohammad Aali , Jun Liu

This paper aims to numerically study the pre-fatigue, low-velocity impact (LVI) and fatigue progressive damage behaviours of a full-scale composite helicopter tail structure under multipoint coordinated loading spectrum. First, a fatigue…

系统与控制 · 电气工程与系统科学 2022-05-09 Zheng-Qiang Cheng , Wei Tan , Jun-Jiang Xiong

This paper addresses the modeling of fracture in quasi-brittle materials using a phase-field approach to the description of crack topology. Within the computational mechanics community, several studies have treated the issue of modeling…

计算工程、金融与科学 · 计算机科学 2019-03-01 Jacinto Ulloa , Patricio Rodríguez , Cristóbal Samaniego , Esteban Samaniego

Mathematical models are essential for understanding and making predictions about systems arising in nature and engineering. Yet, mathematical models are a simplification of true phenomena, thus making predictions subject to uncertainty.…

数值分析 · 数学 2023-03-03 Mark Hobbs , Hussein Rappel , Tim Dodwell

Corrosion fatigue is a major threat to the integrity of marine structures. However, the combined damaging effect of corrosion and fatigue is not well understood due to the uncertainties associated with the stochastic nature of pitting…

数值分析 · 数学 2023-02-24 Mojtaba Mokhtari , Xintong Wang , Jorgen Amdahl

Crack initiation governs high cycle fatigue life and is susceptible to microstructural details. While corresponding microstructure-sensitive models are available, their validation is difficult. We propose a validation framework where a…

In this article we propose a discrete lattice model to simulate the elastic, plastic and failure behaviour of isotropic materials. Focus is given on the mathematical derivation of the lattice elements, nodes and edges, in the presence of…

最优化与控制 · 数学 2015-05-12 Ioannis Dassios , Andrey Jivkov , Andrew Abu-Muharib , Peter James

Fatigue failure occurs when a solid is subjected to repeated, cyclic loading. Glasses subjected to cyclic to shear deformation have recently been investigated using computer simulations and theoretical models, to characterize and…

统计力学 · 物理学 2026-02-26 Swarnendu Maity , Pushkar Khandare , Himangsu Bhaumik , Peter Sollich , Srikanth Sastry