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2020 Index IEEE Transactions on Reliability Vol. 69

2020 IEEE Transactions on Reliability  
., +, TR June 2020 699-714 A Most Probable Point-Based Univariate Method for Reliability Evaluation of Composite Laminates With Random and Interval Parameters.  ...  Zhang, L., +, TR Sept. 2020 1021-1049 L Laminates A Most Probable Point-Based Univariate Method for Reliability Evaluation of Composite Laminates With Random and Interval Parameters.  ... 
doi:10.1109/tr.2021.3050424 fatcat:fpn4y3gddvfobm3v7c25iogmxi

Influence of mechanical uncertainties on dynamic responses of a full-scale all-FRP footbridge

Xiaojun Wei, Hua-Ping Wan, Justin Russell, Stana Živanović, Xuhui He
2019 Composite structures  
The results reveal that a coefficient of variation (COV) of 10% for four mechanical parameters can lead to COVs of 3.37%, 2.92% and 3.07% for natural frequencies, COVs of 2.98%, 0.04% and 0.61% for modal  ...  A B S T R A C T This paper aims to determine the effects of uncertainties in the mechanical properties of FRP composites on the dynamic responses of a full-scale all-FRP bridge.  ...  structures for resilience and sustainability) and insightful discussions with Prof.  ... 
doi:10.1016/j.compstruct.2019.110964 fatcat:vovq5jcq2jhabjun5ve7vzhzqu

Bi-fidelity conditional-value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion [article]

Dongjin Lee, Boris Kramer
2022 arXiv   pre-print
A second example considers the realistic problem of estimating the risk of damage to a fiber-reinforced composite laminate.  ...  For expensive-to-evaluate models, a new bi-fidelity method is proposed that couples the DD-GPCE with a Fourier-polynomial expansions of the mapping between the stochastic low-fidelity and high-fidelity  ...  in all input and system parameters of a stochastic or random problem.  ... 
arXiv:2204.03133v2 fatcat:v7wayuiou5dg5fp6dbdpn5xm7a

A Two-phase Monte Carlo Simulation/Non-intrusive Polynomial Chaos (MSC/NIPC) Method for Quantification of Margins and Mixed Uncertainties (QMMU) in Flutter Analysis

Zhengwen Hu, Baoqiang Zhang, Jing Yang
2020 IEEE Access  
Compared with the traditional MCS/MCS method which needs lots of numerical simulations, the MCS/NIPC method can reduce the computational cost without losing accuracy due to the use of point collocation  ...  A two-phase Monte Carlo Simulation/Non-intrusive Polynomial Chaos (MCS/NIPC) method for quantification of margins and mixed uncertainties (aleatory and epistemic uncertainties) is proposed in this paper  ...  composite laminated panels [5] , swept high-aspect-ratio wing models [6] and a typical five degrees of freedom wing [4] have been conducted both analytically and experimentally.  ... 
doi:10.1109/access.2020.3005289 fatcat:ny4rzp7ikbanroihopcmalbjd4

Remaining Useful Life Model and Assessment of Mechanical Products: A Brief Review and a Note on the State Space Model Method

Yawei Hu, Shujie Liu, Huitian Lu, Hongchao Zhang
2019 Chinese Journal of Mechanical Engineering  
In this paper, methods of RUL assessment are summarized and expounded upon using two major methods: physics model based and data driven based methods.  ...  Due to the intricacy of failure mechanism in system, and difficulty in physics degradation observation, RUL assessment based on observations of performance variables turns into a science in evaluating  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s10033-019-0317-y fatcat:7c6i3cj7fbgsbozvygcd6ucdde

Preparation and Study of HA-CS-Mineralized Collagen Gel [chapter]

Miaomiao Hu, Kun Hu, Yuzhu Cui, Jia Yan, Guijuan Yang, Lin Zhu, Min Yan, Yen Wei, Luhai Li, Fan Zhang
2019 Lecture Notes in Electrical Engineering  
In this paper, methods of RUL assessment are summarized and expounded upon using two major methods: physics model based and data driven based methods.  ...  Due to the intricacy of failure mechanism in system, and difficulty in physics degradation observation, RUL assessment based on observations of performance variables turns into a science in evaluating  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1007/978-981-13-3663-8_134 fatcat:ae44mk5a6bc27ltawxqcxl5dga

Efficient Inverse Method for Structural Identification Considering Modeling and Response Uncertainties

Lixiong Cao, Jie Liu, Cheng Lu, Wei Wang
2022 Chinese Journal of Mechanical Engineering  
In this paper, an uncertain inverse method based on convex model and dimension reduction decomposition is proposed to realize the interval identification of unknown structural parameters according to the  ...  Afterwards, a space collocation method based on dimension reduction decomposition is proposed to transform the inverse problem considering multi-source uncertainties into a few interval inverse problems  ...  [30] realized the uncertainty identification of material parameters for composite laminates by constructing the interval error optimization model. For the IP-MU, Liu et al.  ... 
doi:10.1186/s10033-022-00756-7 fatcat:tyhcitjofncspk2ebc5r6bvgxm

Assessment and Control of Ore Dilution in Long Hole Mining: Case Studies

John G. Henning, Hani S. Mitri
2008 Geotechnical and Geological Engineering  
These analyses are applied to the Gohar Zamin iron ore deposit, and the actual internal dilution calculated based on the lithological logs of blast holes is compared with the same values obtained based  ...  Predicting the internal dilution based on geological boundaries of waste and ore in each block can help engineers to develop more reliable long-term planning designs in mining activities.  ...  Acknowledgments The authors would like to appreciate the Research and Development Unit of Gohar Zamin iron mine, especially Hamed Shamsedini, for their collaboration in collecting and accessing the data  ... 
doi:10.1007/s10706-008-9172-9 fatcat:lzrw24nozzfo7k6rxblrwisp2i

Stochastic inverse finite element modeling for characterization of heterogeneous material properties

Carlos Llopis-Albert, Francisco Rubio, Francisco Valero, Huchang Liao, Shouzhen Zeng
2019 Materials Research Express  
This paper is intended to provide insight into such a dependence by means of a stochastic inverse model based on an iterative optimization process depending only of one parameter, thus avoiding complex  ...  It relies on non-linear combinations of material property realizations with a defined spatial structure for constraining stochastic simulations to data within the framework of a Finite Element approach  ...  ., Ruggiero, A., Khademi, E. (2018). A New Overall Nonlinear Damage Model for Fiber Metal Laminates Based on j.engfracmech.2018.11.043.  ... 
doi:10.1088/2053-1591/ab4c72 fatcat:3wjg6igcefaqba3pt767ho2jpi

A New Binary Adaptive Elitist Differential Evolution Based Automatic k-Medoids Clustering for Probability Density Functions

D. Pham-Toan, T. Vo-Van, A. T. Pham-Chau, T. Nguyen-Trang, D. Ho-Kieu
2019 Mathematical Problems in Engineering  
This paper proposes an evolutionary computing based automatic partitioned clustering of probability density function, the so-called binary adaptive elitist differential evolution for clustering of probability  ...  Herein, the k-medoids based representative probability density functions (PDFs) are preferred to the k-means one for their capability of avoiding outlier effectively.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper. Mathematical Problems in Engineering  ... 
doi:10.1155/2019/6380568 fatcat:fibvvwxmfber3dnp2blk62yqx4

Surrogate Model Uncertainty in Wind Turbine Reliability Assessment

René M.M. Slot, John D. Sørensen, Bruno Sudret, Lasse Svenningsen, Morten L. Thøgersen
2019 Renewable Energy  
between load effects and stresses is based on simple beam theory.  ...  To account for nonlinear effects a "stress concentration factor" is typically applied.  ...  The work presented in this paper is part of the PhD project "From wind climate to wind turbine loadsefficient and accurate decision support and reliability analysis" co-funded by EMD International A/S,  ... 
doi:10.1016/j.renene.2019.11.101 fatcat:gmlowqcf7jc7jeboke46t3nghy

Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

Maria Martinez-Luengo, Athanasios Kolios, Lin Wang
2016 Renewable & Sustainable Energy Reviews  
OMA methods are based on the principle that in the analyzed time interval, the system is linear and does not vary with time.  ...  Ultrasonic methods Ultrasound is a method commonly used for assessing the inner structures of solid objects [68] . It has also turned out to be very useful with composite structures.  ... 
doi:10.1016/j.rser.2016.05.085 fatcat:tm36cov3cngulemt7kur7yuery

Sparse Bayesian Learning for Complex-Valued Rational Approximations [article]

Felix Schneider and Iason Papaioannou and Gerhard Müller
2022 arXiv   pre-print
For models that require a high polynomial degree or are high-dimensional in terms of their input parameters, this number often exceeds the affordable computational cost.  ...  A common approach to obtain the coefficients in the surrogate is to minimize the sample-based error between model and surrogate in the least-square sense.  ...  Acknowledgement The authors would like to thank Daniel Straub for the helpful comments on the manuscript.  ... 
arXiv:2206.02523v1 fatcat:sqmlyynvk5dppf3hkyxlqmritm

Estimation of distribution algorithms based on copula functions

Rogelio Salinas-Gutiérrez, Arturo Hernández-Aguirre, Enrique R. Villa-Diharce
2011 Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11  
Estimation of Distribution Algorithms based on Copula Functions  ...  Thanks to these supports, I will return to my job at the Universidad Autónoma de Aguascalientes with a strong academic preparation for teaching and doing research.  ...  Finally, I would like to thank the support of my wife Leticia and my children Sofía Carolina and Rogelio Emiliano. They have been a continuous source of inspiration and love.  ... 
doi:10.1145/2001858.2002094 dblp:conf/gecco/Salinas-GutierrezAD11a fatcat:deuqz6tsbze25lsimrc6ny4h7m

Key computational modeling issues in Integrated Computational Materials Engineering

Jitesh H. Panchal, Surya R. Kalidindi, David L. McDowell
2013 Computer-Aided Design  
A third approach, involving more the integration of databases with tools for modeling and simulation, as well as design 0010-4485/$ -see front matter  ...  combinatorial search methods [2], pattern recognition, and so on.  ...  Any opinions, findings and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the NSF or ONR.  ... 
doi:10.1016/j.cad.2012.06.006 fatcat:ujbgljntf5emfatguyzcxoy5oa
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