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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

Keywords： reliability     component     failure mode     prediction     random variable    

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Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 114-120 doi: 10.1007/s11709-014-0267-5

Abstract: The accurate and efficient simulation of random heterogeneous media is important in the framework ofIt is usually assumed that the morphology of a random microstructure can be described as a non-Gaussianrandom field that is completely defined by its multivariate distribution.A particular kind of non-Gaussian random fields with great practical importance is that of translationmedia with emphasis on level-cut random fields which are a special case of translation fields.

Keywords： microstructure     random fields     level sets     shape recovery     two-phase media    

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Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0691-5

Abstract: This study traces the development of dexterous hand research and proposes a novel antagonistic variablefinger mechanism not only achieves passive compliance against physical impacts, but also implements the variable

Keywords： multifingered hand     mechanism design     robot safety     variable stiffness actuator    

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Probabilistic analysis of secant piles with random geometric imperfections

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 682-695 doi: 10.1007/s11709-021-0703-2

Abstract: By taking the pile diameter D, inclination angle β, and azimuth angle α as random

Keywords： secant piles     ultrasonic cross-hole testing     probabilistic analysis     reliability-based design     random    

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Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 66-80 doi: 10.1007/s11709-018-0461-y

Abstract: deep excavation in layers of cemented coarse grained soil located in Tehran, Iran by non-deterministic Random

Keywords： uncertainty     reliability analysis     deep excavations     random set method     finite difference method    

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Effect of variable heat capacities on performance of an irreversible Miller heat engine

Xingmei YE

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 280-284 doi: 10.1007/s11708-012-0203-0

Abstract: Based on the variable heat capacities of the working fluid, the irreversibility coming from the compressionMoreover, the influence of the compression and expansion efficiencies, the variable heat capacities and

Keywords： Miller cycle     variable heat capacity     irreversibility     parametric optimization    

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Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 107-113 doi: 10.1007/s11709-014-0268-4

Abstract: In this study a fast computing procedure based on the MSFEM is developed to solve random field geotechnical

Keywords： multiscale     finite element     settlement     perturbation     random field     geotechnical    

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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: In this paper, a neural network-based production process modeling and variable importance analysis approachUltimately, variable importance analysis is carried out by the extended weight connection method, and

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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On the improvement design of dynamic characteristics for the roller follower of a variable-speed plate

Hui Ching FAN, Hong Sen YAN

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 5-15 doi: 10.1007/s11465-012-0310-y

Abstract:

Without modifying the cam contour, a cam mechanism with a variable input speed trajectory offers an

Keywords： cam mechanism     variable input speed     kinematic design     dynamic design     optimal design    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: This study presents a NER method for Chinese construction documents based on conditional random field

Keywords： NER     NLP     Chinese language     construction document    

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Mechanical design and analysis of a novel variable stiffness actuator with symmetrical pivot adjustment

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 711-725 doi: 10.1007/s11465-021-0647-1

Abstract: Thus, this paper aims to design a novel variable stiffness actuator (VSA) that can provide safer physicalVSA follows the idea of modular design, mainly including a variable stiffness module and a drive moduleThe variable stiffness module transmits the motion from the drive module in a roundabout manner, makingAs the key component of the variable stiffness module, a stiffness adjustment mechanism with a symmetrical

Keywords： variable stiffness actuator     variable stiffness module     drive module     symmetrical structure     double-deck    

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Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 121-140 doi: 10.1007/s11709-015-0290-1

Abstract: spatial variability of stress fields resulting from polycrystalline aggregate calculations involving randomA periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fieldsTwo cases are considered, using either a fixed or random grain geometry.

Keywords： polycrystalline aggregates     crystal plasticity     random fields     spatial variability     correlation structure    

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of catalyst temperature in automotive engines over coldstart operation in the presence of different random

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: current study is to develop a systematic stochastic model to capture the undesired uncertainty and randomHere, the authors introduce a random noise to experimentally derived data and simulate an uncertain database

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty and random    

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Crack propagation with different radius local random damage based on peridynamic theory

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1238-1248 doi: 10.1007/s11709-021-0695-y

Abstract: This method can be applied to steel structures under similar local random damage conditions.

Keywords： peridynamics     stochastic damage     bilateral notch crack    

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Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 277-286 doi: 10.1007/s11465-015-0348-8

Abstract:

This paper addresses the development of a random forest classifier for the multi-class fault diagnosisthrough the parameters’ space to find the best values for the number of trees and the number of randomthe application is identified and the best features are selected through the internal ranking of the random

Keywords： fault diagnosis     spur gearbox     wavelet packet decomposition     random forest    

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Title Author Date Type Operation

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Journal Article

Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous

Journal Article

Probabilistic analysis of secant piles with random geometric imperfections

Journal Article

Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Journal Article

Effect of variable heat capacities on performance of an irreversible Miller heat engine

Xingmei YE

Journal Article

Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Journal Article

A neural network-based production process modeling and variable importance analysis approach in corn

Journal Article

On the improvement design of dynamic characteristics for the roller follower of a variable-speed plate

Hui Ching FAN, Hong Sen YAN

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

Mechanical design and analysis of a novel variable stiffness actuator with symmetrical pivot adjustment

Journal Article

Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Journal Article

of catalyst temperature in automotive engines over coldstart operation in the presence of different random

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

Crack propagation with different radius local random damage based on peridynamic theory

Journal Article

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Journal Article