Search Results - "Kim, Nam H"
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Challenges and Opportunities of System-Level Prognostics
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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Identifying boundaries of topology optimization results using basic parametric features
Published in Structural and multidisciplinary optimization (01-05-2017)“…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
Cost-Effectiveness of Structural Health Monitoring in Fuselage Maintenance of the Civil Aviation Industry
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
Study on Lamb wave propagation in a cracked plate using numerical simulations
Published in Journal of mechanical science and technology (01-08-2023)“…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
Influence of spherical triggers on axial collapse of tapered tubes
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
A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine
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
Investigation of band structure and electrochemical properties of h-BN/rGO composites for asymmetric supercapacitor applications
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
Generalized Optimality Criteria Method for Topology Optimization
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
Electrostatic precursors to granular slip events
Published in Proceedings of the National Academy of Sciences - PNAS (03-07-2012)“…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
On design optimization for structural crashworthiness and its state of the art
Published in Structural and multidisciplinary optimization (01-03-2017)“…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
Remarks on multi-fidelity surrogates
Published in Structural and multidisciplinary optimization (01-03-2017)“…Different multi-fidelity surrogate (MFS) frameworks have been used for optimization or uncertainty quantification. This paper investigates differences between…”
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Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
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
Safety envelope for load tolerance of structural element design based on multi-stage testing
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
Uncertainty analysis for rolling contact fatigue failure probability of silicon nitride ball bearings
Published in International journal of solids and structures (01-09-2010)“…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
Statistical aspects in neural network for the purpose of prognostics
Published in Journal of mechanical science and technology (01-04-2015)“…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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Predicting fatigue crack growth under variable amplitude loadings with usage monitoring data
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
Review of statistical model calibration and validation—from the perspective of uncertainty structures
Published in Structural and multidisciplinary optimization (01-10-2019)“…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
Topological design of multi-cell hexagonal tubes under axial and lateral loading cases using a modified particle swarm algorithm
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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Low-fidelity scale factor improves Bayesian multi-fidelity prediction by reducing bumpiness of discrepancy function
Published in Structural and multidisciplinary optimization (01-08-2018)“…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
Crashworthiness optimization with uncertainty from surrogate model and numerical error
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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