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相关论文: The duration of load effect in lumber as stochasti…

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Wood products that are subjected to sustained stress over a period of long duration may weaken, and this effect must be considered in models for the long-term reliability of lumber. The damage accumulation approach has been widely used for…

应用统计 · 统计学 2017-06-16 Chun-Hao Yang , James V. Zidek , Samuel W. K. Wong

Lumber and wood-based products are versatile construction materials that are susceptible to weakening as a result of applied stresses. To assess the effects of load duration and rate, experiments have been carried out by applying preset…

应用统计 · 统计学 2020-02-11 Samuel W. K. Wong

This paper evaluates the reliability of lumber, accounting for the duration-of-load (DOL) effect under different load profiles based on a multimodel Bayesian approach. Three individual DOL models previously used for reliability assessment…

应用统计 · 统计学 2021-10-25 Yunfeng Yang , Martin Lysy , Samuel W. K. Wong

Accelerated degradation tests are used to provide accurate estimation of lifetime characteristics of highly reliable products within a relatively short testing time. Data from particular tests at high levels of stress (e.g., temperature,…

应用统计 · 统计学 2021-06-07 Helmi Shat , Rainer Schwabe

A new fatigue life prediction method using the energy-based approach under uniaxial and multiaxial random loadings is proposed in this paper. One unique characteristic of the proposed method is that it uses time-derivative damage…

应用物理 · 物理学 2021-06-07 Shih-Chuan Tien , Haoyang Wei , Jie Chen , Yongming Liu

This paper develops a framework for creating damage accumulation models for engineered wood products by invoking the classical theory of non--dimensionalization. The result is a general class of such models. Both the US and Canadian damage…

应用统计 · 统计学 2017-08-11 Samuel W. K. Wong , James V. Zidek

We analyse some acoustic emission time series obtained from a lathe machining process. Considering the dynamic evolution of the process we apply two classes of well known stationary stochastic time series models. We apply a preliminary root…

应用统计 · 统计学 2013-04-03 F. Polito , A. Petri , G. Pontuale , F. Dalton

In this paper, a new reliability model has been developed for a single system degrading stochastically which experiences soft and hard failure. Soft failure occurs when the physical deterioration level of the system is greater than a…

统计理论 · 数学 2019-03-04 Nooshin Yousefi , David W. Coit

Structural elements made of laminated hardwood are increasingly used in timber engineering. In this combined numerical and experimental approach, damage onset and propagation in uni-directional and cross-laminated samples out of European…

Fatigue crack growth is one of the most common types of deterioration in metal structures with significant implications on their reliability. Recent advances in Structural Health Monitoring (SHM) have motivated the use of structural…

机器学习 · 统计学 2023-10-12 Nicholas E. Silionis , Konstantinos N. Anyfantis

Sensor-based degradation signals measure the accumulation of damage of an engineering system using sensor technology. Degradation signals can be used to estimate, for example, the distribution of the remaining life of partially degraded…

应用统计 · 统计学 2011-07-29 Rensheng R. Zhou , Nicoleta Serban , Nagi Gebraeel

This paper aims to experimentally and numerically probe fatigue behaviours and lifetimes of novel GLARE (glass laminate aluminium reinforced epoxy) laminates under random loading spectrum. A mixed algorithm based on fatigue damage concepts…

应用物理 · 物理学 2023-02-22 Zheng-Qiang Cheng , Wei Tan , Jun-Jiang Xiong , Er-Ming Hed , Tao-Huan Xiong , Ying-Peng Wang

As a physical fact, randomness is an inherent and ineliminable aspect in all physical measurements and engineering production. As a consequence, material parameters, serving as input data, are only known in a stochastic sense and thus, also…

计算工程、金融与科学 · 计算机科学 2023-11-22 Hendrik Geisler , Cem Erdogan , Jan Nagel , Philipp Junker

Degradation data are considered for assessing reliability in highly reliable systems. The usual assumption is that degradation units come from a homogeneous population. But in presence of high variability in the manufacturing process, this…

统计方法学 · 统计学 2026-01-15 Barin Karmakar , Biswabrata Pradhan

Stochastic processes are a flexible and widely used family of models for statistical modeling. While stochastic processes offer attractive properties such as inclusion of uncertainty properties, their inference is typically intractable,…

统计方法学 · 统计学 2026-02-10 Teemu Härkönen , Simo Särkkä

A new phenomenological technique for using constant amplitude loading data to predict fatigue life from a variable amplitude strain history is presented. A critical feature of this reversal-by-reversal model is that the damage accumulation…

材料科学 · 物理学 2012-10-04 S. P. Beckman , P. J. Huffman

A reasonable description of the degradation process is essential for credible reliability assessment in accelerated degradation testing. Existing methods usually use Markovian stochastic processes to describe the degradation process.…

应用统计 · 统计学 2025-06-12 Shi-Shun Chen , Xiao-Yang Li , Wenrui Xie

We construct a mean-field elastoplastic description of the dynamics of amorphous solids under arbitrary time-dependent perturbations, building on the work of Lin and Wyart [Phys. Rev. X 6, 011005 (2016)] for steady shear. Local stresses are…

软凝聚态物质 · 物理学 2020-12-14 Jack T. Parley , Suzanne M. Fielding , Peter Sollich

In this paper we explore the evolution of transport capacity on networks with stochastic incidence of damage and accumulation of faults in their connections. For each damaged configuration of the network, we analyze a Markovian random…

物理与社会 · 物理学 2019-09-05 A. P. Riascos , J. Wang-Michelitsch , T. M. Michelitsch

When examining the relationship between an exposure and an outcome, there is often a time lag between exposure and the observed effect on the outcome. A common statistical approach for estimating the relationship between the outcome and…

统计方法学 · 统计学 2025-04-28 Seongwon Im , Ander Wilson , Daniel Mork
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