Search Results - "Kim, Nam H"

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  1. 1

    Challenges and Opportunities of System-Level Prognostics by Kim, Seokgoo, Choi, Joo-Ho, Kim, Nam H.

    Published in Sensors (Basel, Switzerland) (18-11-2021)
    “…Prognostics and health management (PHM) has become an essential function for safe system operation and scheduling economic maintenance. To date, there has been…”
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    Journal Article
  2. 2

    Identifying boundaries of topology optimization results using basic parametric features by Yi, Guilian, Kim, Nam H.

    “…Topology optimization yields an overall layout of a structure in the form of discrete densities or continuous boundaries. One of important drawbacks, however,…”
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  3. 3

    Cost-Effectiveness of Structural Health Monitoring in Fuselage Maintenance of the Civil Aviation Industry by Dong, Ting, Kim, Nam

    Published in Aerospace (01-09-2018)
    “…Although structural health monitoring (SHM) technologies using sensors have dramatically been developed recently, their capability should be evaluated from the…”
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  4. 4

    Study on Lamb wave propagation in a cracked plate using numerical simulations by Kim, Seyeon, Kim, Nam H., Lee, Sanghoon

    “…Most cracks do not grow straight due to the inhomogeneity of material properties. Furthermore, quantifying structural damage using Lamb waves is difficult due…”
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  5. 5

    Influence of spherical triggers on axial collapse of tapered tubes by Qiu, Na, Wang, Depei, Li, Yajie, Xiao, Mingwei, Gao, Qiang, Kim, Nam H.

    Published in International journal of crashworthiness (02-01-2024)
    “…Thin-walled structures are widely used in the design of energy absorbers due to their excellent performance on crashworthiness. Various designs and…”
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  6. 6

    A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine by Choi, Woosung, Youn, Byeng D., Oh, Hyunseok, Kim, Nam H.

    Published in Reliability engineering & system safety (01-04-2019)
    “…•A damage growth model for a steam turbine is proposed from the damage index distribution.•RUL prediction methodologies incorporate the damage index into…”
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  7. 7

    Investigation of band structure and electrochemical properties of h-BN/rGO composites for asymmetric supercapacitor applications by Saha, Sanjit, Jana, Milan, Samanta, Pranab, Murmu, Naresh C., Kim, Nam H., Kuila, Tapas, Lee, Joong H.

    Published in Materials chemistry and physics (01-04-2017)
    “…The effect of different content of graphene oxide (GO) on the electrical and electrochemical property of h-BN/reduced GO (rGO) hetero-structure is investigated…”
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  8. 8

    Generalized Optimality Criteria Method for Topology Optimization by Kim, Nam H., Dong, Ting, Weinberg, David, Dalidd, Jonas

    Published in Applied sciences (01-04-2021)
    “…In this article, a generalized optimality criteria method is proposed for topology optimization with arbitrary objective function and multiple inequality…”
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  9. 9

    Electrostatic precursors to granular slip events by Shinbrot, Troy, Kim, Nam H, Thyagu, N. Nirmal

    “…It has been known for over a century that electrical signals are produced by material failure, for example during crack formation of crystals and glasses, or…”
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  10. 10

    On design optimization for structural crashworthiness and its state of the art by Fang, Jianguang, Sun, Guangyong, Qiu, Na, Kim, Nam H., Li, Qing

    “…Optimization for structural crashworthiness and energy absorption has become an important topic of research attributable to its proven benefits to public…”
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  11. 11

    Remarks on multi-fidelity surrogates by Park, Chanyoung, Haftka, Raphael T., Kim, Nam H.

    “…Different multi-fidelity surrogate (MFS) frameworks have been used for optimization or uncertainty quantification. This paper investigates differences between…”
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  12. 12

    Practical options for selecting data-driven or physics-based prognostics algorithms with reviews by An, Dawn, Kim, Nam H., Choi, Joo-Ho

    Published in Reliability engineering & system safety (01-01-2015)
    “…This paper is to provide practical options for prognostics so that beginners can select appropriate methods for their fields of application. To achieve this…”
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  13. 13

    Safety envelope for load tolerance of structural element design based on multi-stage testing by Park, Chanyoung, Kim, Nam H

    Published in Advances in mechanical engineering (01-09-2016)
    “…Structural elements, such as stiffened panels and lap joints, are basic components of aircraft structures. For aircraft structural design, designers select…”
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  14. 14

    Uncertainty analysis for rolling contact fatigue failure probability of silicon nitride ball bearings by Pattabhiraman, Sriram, Levesque, George, Kim, Nam H., Arakere, Nagaraj K.

    “…Uncertainty analysis and parametric studies are presented for estimating the fatigue failure probability of surface cracks in silicon nitride ball bearings…”
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  15. 15

    Statistical aspects in neural network for the purpose of prognostics by An, Dawn, Kim, Nam H., Choi, Joo-Ho

    “…Neural network (NN) is a representative data-driven method, which is one of prognostics approaches that is to predict future damage/degradation and the…”
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  16. 16

    Predicting fatigue crack growth under variable amplitude loadings with usage monitoring data by Pais, Matthew J, Kim, Nam H

    Published in Advances in mechanical engineering (01-12-2015)
    “…For complex engineering systems, there is an increasing interest in the use of structural health monitoring systems to estimate the current state of damage…”
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  17. 17

    Review of statistical model calibration and validation—from the perspective of uncertainty structures by Lee, Guesuk, Kim, Wongon, Oh, Hyunseok, Youn, Byeng D., Kim, Nam H.

    “…Computer-aided engineering (CAE) is now an essential instrument that aids in engineering decision-making. Statistical model calibration and validation has…”
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  18. 18

    Topological design of multi-cell hexagonal tubes under axial and lateral loading cases using a modified particle swarm algorithm by Qiu, Na, Gao, Yunkai, Fang, Jianguang, Sun, Guangyong, Kim, Nam H.

    Published in Applied Mathematical Modelling (01-01-2018)
    “…•Topology optimization of multi-cell hexagonal tubes was studied under both axial and lateral loading cases.•A modified PSO algorithm was proposed to improve…”
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  19. 19

    Low-fidelity scale factor improves Bayesian multi-fidelity prediction by reducing bumpiness of discrepancy function by Park, Chanyoung, Haftka, Raphael T., Kim, Nam H.

    “…This study explores why the use of the low-fidelity scale factor can substantially improve the accuracy of the Bayesian multi-fidelity surrogate (MFS). It is…”
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  20. 20

    Crashworthiness optimization with uncertainty from surrogate model and numerical error by Qiu, Na, Gao, Yunkai, Fang, Jianguang, Sun, Guangyong, Li, Qing, Kim, Nam H.

    Published in Thin-walled structures (01-08-2018)
    “…Due to the expensive cost of full-scale tests, more and more designs rely on simulation. For highly nonlinear crash simulation, numerical uncertainty is an…”
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