Journal Papers

Structural Health Monitoring and Prognosis

1. Hyung Jun Park, Nam H. Kim, and Joo-Ho Choi, A robust health prediction using Bayesian approach guided by physical constraints, Reliability Engineering and System Safety, Vol. 244, 109954 , 2024. https://doi.org/10.1016/j.ress.2024.109954

 
2. Seyeon Kim, Nam H. Kim, Sanghoon Lee, Study on Lamb wave propagation in a cracked plate using numerical simulations, Journal of Mechanical Science and Technology, Vol. 37, pp. 4217-4225, 2023. https://doi.org/10.1007/s12206-023-0737-6

 
3. Hyung Jun Park, Seokgoo Kim, Junyoung Lee, Nam H. Kim, and Joo-Ho Choi, System-level prognostics approach for failure prediction of reaction wheel motor in satellites, Advances in Space Research, Vol 71, pp. 2691-2701, 2023. doi: https://doi.org/10.1016/j.asr.2022.11.028

 
4. Seokgoo Kim, Joo-Ho Choi, and Nam H. Kim Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network, Structural and Multidisciplinary Optimization, Vol. 65, Article 255, 2022. doi: https://doi.org/10.1007/s00158-022-03348-0

 
5. Hyung Jun Park, Nam H. Kim, and Joo-Ho Choi, A trade-off analysis between sensor quality and data intervals for prognostics performance, Sensors, Vol. 22, No. 19, pp. 7220-1-13, 2022. doi: https://doi.org/10.3390/s22197220

 
6. Seokgoo Kim, Joo-Ho Choi, and Nam H. Kim Inspection schedule for prognostics with uncertainty management, Reliability Engineering and System Safety, Vol. 222, paper no. 108391, 2022. doi: https://doi.org/10.1016/j.ress.2022.108391

 
7. Seokgoo Kim, Nam H. Kim, and Joo-Ho Choi, A study towards appropriate architecture of system-level prognostics: physics-based and data-driven approaches, IEEE Access, Vol. 9, pp. 157960--157972, 2021. doi: https://doi.org/10.1109/ACCESS.2021.3129516

 
8. Seokgoo Kim, Joo-Ho Choi, and Nam H. Kim, Challenges and Opportunities of System-Level Prognostics, Sensors 2021, 21, 7655. doi: https://doi.org/10.3390/s21227655

 
9. Ting Dong and Nam H. Kim, Methods of identifying correlated model parameters with noise in prognostics, Aerospace, Vol. 8, pp. 129-1-14, 2021. doi: https://doi.org/10.3390/aerospace8050129

 
10. Seokgoo Kim, Nam H. Kim, and Joo-Ho Choi, Information value-based fault diagnosis for train door system under multiple operating conditions, Sensors, Vol. 20, pp. 3952-3967, 2020. doi: 10.3390/s20143952

 
11. Seokgoo Kim, Nam H. Kim, Joo-Ho Choi, Prediction of remaining useful life by data augmentation technique based on dynamic time warping, Mechanical Systems and Signal Processing, Vol. 136, pp. 106486, 2020. https://doi.org/10.1016/j.ymssp.2019.106486

 
12. Ting Dong, Dawn An, and Nam H. Kim, Prognostics 102: Efficient Bayesian-based prognostics algorithm in MATLAB, Prognostics, pp. 1-25, 2019. doi: 10.5772/intechopen.82781

 
13. Ting Dong, Raphael T. Haftka, and Nam H. Kim, Advantages of condition-based maintenance over scheduled maintenance using structural health monitoring system, Reliability and Maintenance--An overview of Cases, Ed. L. Kounis, pp. 1-20, 2020. doi: 10.5772/intechopen.83614

 
14. Woosung Choi, Byeng D. Youn, Hyunseok Oh, and Nam H. Kim, A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine, Reliability Engineering and System Safety, Vol. 184, pp. 137-150, April 2019. doi: 10.1016/j.ress.2018.03.012

 
15. Yiwei Wang, Christian Gogu, Nam H. Kim, Raphael T. Haftka, Nicolas Binaud, and Christian Bes, Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information, Reliability Engineering and System Safety, Vol. 184, pp. 86-100, April 2019. doi: 10.1016/j.ress.2017.09.021

 
16. Yiwei Wang, Christian Gogu, Nicolas Binaud, Christian Bes, Raphael T. Haftka and Nam H. Kim, Predictive airframe maintenance strategies using model-based prognostics, Journal of Risk and Reliability, Vol. 232, nO. 6, PP. 690-709, 2018. doi: 10.1177/1748006X18757084

 
17. Dawn An, Nam H. Kim, and Joo-Ho Choi, Remaining useful life prediction of rolling element bearings using degradation feature based on amplitude decrease at specific frequencies, Structural Health Monitoring, Vol. 17, No. 5, pp. 1095-1109, 2018. doi: 10.1177/1475921717736226

 
18. Ting Dong and Nam H. Kim, Cost-effectiveness of structural health monitoring in fuselage maintenance of civil aviation industry , Aerospace, Vol. 5, No. 3, pp. 87, 2018. doi:10.3390/aerospace5030087

 
19. Dawn An, Joo-Ho Choi, and Nam H. Kim, Prediction of remaining useful life under different conditions using accelerated life testing data, Journal of Mechanical Science and Technology, Vol. 32, No. 6, pp. 2497-2507, 2018. doi: 10.1007/s12206-018-0507-z

 
20. Yiwei Wang, Christian Gogu, Nicolas Binaud, Christian Bes, Raphael T. Haftka, Nam H. Kim, A cost driven predictive maintenance policy for structural airframe maintenance, Chinese Journal of Aeronautics, Vol. 30, No. 3, pp. 1242-1257, 2017. doi: 10.1016/j.cja.2017.02.005

 
21. J. Park, J. M. Ha, H. Oh, B. D. Youn, J.-H. Choi, and N. H. Kim, Model-based fault diagnosis of a planetary gear: A novel approach using transmission error, IEEE Transaction on Reliability, Vol. 65, No. 4, pp. 1830-1841, 2016. doi: 10.1109/TR.2016.2590997

 
22. M. J. Pais and N. H. Kim, Predicting fatigue crack growth under variable amplitude loadings with usage monitoring data, Advances in Mechanical Engineering, Vol. 7, No. 2, pp. 1-11, 2015. DOI: 10.1177/1687814015619135

 
23. Dawn An, Nam H. Kim and Joo-Ho Choi, Practical options for selecting data-driven or physics-based prognostics algorithms with reviews, Reliability Engineering & System Safety, Vol. 133, pp. 223-236, 2015. DOI: 10.1016/j.ress.2014.09.014

 
24. Dawn An, Nam H. Kim and Joo-Ho Choi, Statistical aspects in neural network for the purpose of prognostics, Journal of Mechanical Science and Technology, Vol. 29, No. 4. pp. 1369-1375, 2015. DOI: 10.1007/s12206-015-0306-8

 
25. Dawn An, Joo-Ho Choi, and Nam H. Kim, Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab, Reliability Engineering and System Safety, Vol. 115, pp. 161-169, 2013. DOI: 10.1016/j.ress.2013.02.019

 
26. Ranjith K. S. Raveendran, Michael H. Azarian, Nam H. Kim, Michael Pecht, Effect of multiple faults and fault severity on gearbox fault detection in a wind turbine using electrical current signals, Chemical Engineering Transaction, Vol. 33, pp. 79-84, 2013. DOI: 10.3303/CET1333014

 
27. Alexandra Coppe, Matthew J. Pais, Raphael T. Haftka, and Nam H. Kim, Using a simple crack growth model in predicting remaining useful life, Journal of Aircraft, Vol. 49, No. 6, pp. 1965-1973, 2012. DOI:10.2514/1.C031808

 
28. Jaydeep M. Karandikar, Nam H. Kim, and Tony L. Schmitz, Prediction of remaining useful life for fatigue-damaged structures using Bayesian inference, Engineering Fracture Mechanics, Vol. 96 pp. 588-605, 2012. DOI: 10.1016/j.engfracmech.2012.09.013

 
29. Sriram Pattabhiraman, Christian Gogu, Nam H. Kim, Raphael T. Haftka, and Christian Bes, Skipping unnecessary structural airframe maintenance using on-board structural health monitoring system, Journal of Risk and Reliability, Vol. 226, No. 5, pp. 549-560, 2012.

 
30. Matthew J. Pais, Felipe A. C. Viana, and Nam H. Kim, Enabling high-order integration of fatigue crack growth with surrogate modeling, International Journal of Fatigue, Vol. 43, pp. 150 - 159, 2012.

 
31. Dawn An, Joo-Ho Choi, and Nam H. Kim, Identification of correlated damage parameters under noise and bias using Bayesian inference, Structural Health Monitoring, Vol. 11, No. 3, pp. 293 - 303, 2012, DOI: 10.1177/1475921711424520

 
32. Jungeun An, Raphael T. Haftka, Nam H. Kim, F. G. Yuan, Byung M. Kwak, Hoon Sohn, and Chul Min Yeum, Experimental study on identifying cracks of increasing size using ultrasonic excitation, Structural Health Monitoring, Vol. 11, No. 1, pp. 95 - 108, 2012, DOI: 10.1177/1475921711406581

 
33. Alexandra Coppe, Raphael T. Haftka, and Nam H. Kim, Uncertainty identification of damage growth parameters using nonlinear regression, AIAA Journal, Vol. 49, No. 12, pp. 2818--2821, 2011.

 
34. Dawn An, Joo-Ho Choi, Tony L. Schmitz, and Nam H. Kim, In-situ monitoring and prediction of progressive joint wear using Bayesian statistics, Wear, Vol. 270, No. 11-12, pp., 828-838, 2011. DOI: 10.1016/j.wear.2011.02.010

 
35. Dawn An, Joo-Ho Choi, Nam H. Kim, and Sriram Pattabhiraman, Fatigue life prediction based on Bayesian approach to incorporate field data into probability model, Structural Engineering and Mechanics, Vol. 37, No. 4, pp. 427--442, 2011.

 
36. Alexandra Coppe, Raphael T. Haftka, Nam H. Kim, and Fuh-Gwo Yuan, Uncertainty reduction of damage growth properties using structural health monitoring, Journal of Aircraft, Vol. 47, No. 6, pp. 2030--2038, 2010. DOI: 10.2514/1.C000279

 
37. A. Coppe, R. T. Haftka, and N. H. Kim, Optimization of Distribution Parameters for Estimating Probability of Crack Detection, AIAA Journal of Aircraft, Vol. 46, No. 6, pp. 2090 -- 2097, 2009.

 

Verification, Validation and Uncertainty Quantification

1. Hemanth Thandaga Nagaraju, James Nance, Nam H. Kim, Bhavani V. Sankar, and Ghatu Subhash, Uncertainty Quantification in Elastic Constants of SiCf/SiCm Tubular Composites using Global Sensitivity Analysis, Journal of Composite Materials, Col. 57, No. 1, pp. 63-78, 2023. doi: https://doi.org/10.1177/00219983221137925

 
2. Gwangtaeck Lee, Sanghoon Lee, and Nam H. Kim, A study on model calibration using sensitivity based least squares method, Journal of Mechanical Science and Technology, Vol. 36, No. 2, pp. 809-815, 2022. doi: 10.1007/s12206-022-0128-4

 
3. Chanyoung Park, Samaun Nili, Justin T. Mathew, Frederick Ouellet, Rahul Koneru, Nam H. Kim, S. Balachandar, and Raphael T. Haftka, Uncertainty reduction for model error detection in multiphase shock tube simulation, Journal of Verification, Validation and Uncertainty Quantification, Vol. 6, No. 3, September 2021. doi: https://doi.org/10.1115/1.4051407
4. S. Nili, C. Park, Nam H. Kim, Raphael T. Haftka, and S. Balachandar, Prioritizing possible force models error in multiphase flow using global sensitivity analysis, AIAA Journal, Vol. 59(5), pp. 1749-1759, May 2021. doi: https://doi.org/10.2514/1.J058657

 
5. Kyle T. Hughes, J. J. Charonko, K. P. Prestridge, Nam H. Kim, Raphael T. Haftka, and S. Balachandar, Proton radiography of explosively dispersed metal particles with varying volume fraction and varying carrier phase , Shock Waves, 31(1), pp. 75-88, January 2021. doi: https://doi.org/10.1007/s00193-020-00983-8

 
6. Joshua Garno, Frederick Ouellet, Sangjune Bae, Thomas L. Jackson, Nam H. Kim, Raphael T. Haftka, Kyle T. Hughes, and S. Balachandar, Calibration of reactive burn and Jones-Wilkins-Lee parameters for simulations of a detonation-driven flow experiment with uncertainty quantification, Physical Review Fluids, Vol. 5, No. 5, pp. 123201-1-24, 2020. doi: 10.1103/PhysRevFluids.5.123201

 
7. Yiming Zhang, Nam H. Kim, Upul R. Palliyaguru, Jaco F. Schutte, and Raphael T. Haftka, Reduced allowable strength of composite laminate for unknown distribution due to limited tests, Journal of Composite Materials, Vol. 54, No. 2, pp. 2823-2836, 2020. https://doi.org/10.1177/0021998320903781

 
8. Kyle T. Hughes, S. Balachandar, Angela Diggs, Raphael T. Haftka, Nam H. Kim, Don Littrell, Simulation-driven design of experiments examining the large-scale, explosive dispersal of particles , Shock Waves Vol. 30, No. 4, pp. 325-347, 2020. https://doi.org/10.1007/s00193-019-00927-x

 
9. Guesuk Lee, Wongon Kim, Hyunseok Oh, Byeng D. Youn, and Nam H. Kim, Review of Statistical Model Calibration and Validation - From the Perspective of Uncertainty Structures, Structural and Multidisciplinary Optimization, Vol. 60, No. 4, pp. 1619-1644, 2019. https://doi.org/10.1007/s00158-019-02270-2 doi:

 
10. Kyle T. Hughes, S. Balachandar, Nam H. Kim, Chanyoung Park, Raphael T. Haftka, Angela Diggs, Don Littrell, Jason Darr, Forensic uncertainty quantification for experiments on the explosively driven motion of particles, Journal of Verification, Validation and Uncertainty Quantification, Vol. 3, No. 4, 041004, May 2019. Paper No: VVUQ-18-1019. doi: 10.1115/1.4043478

 
11. Yiming Zhang, Aravind Neelakantan, Chanyoung Park, Nam H. Kim, Herman Lam and Raphael T. Haftka, Adaptive sampling with varying sampling cost for design space exploration, AIAA Journal, Vol. 57, No. 3, pp. 1032--1043, March 2019. doi: 10.2514/1.J057470

 
12. Chanyoung Park, Justin Matthew, Nam H. Kim, and Raphael T. Haftka, Epistemic uncertainty stemming from measurement processing - A case study of multiphase shock tube experiments, Journal of Verification, Validation and Uncertainty Quantification, Vol. 3, No. (4), pp. 041001 (11 pages), March 2019. doi: 10.1115/1.4042814

 
13. Na Qiu, Chanyoung Park, Yunkai Gao, Jianguang Fang, Guangyong Sun, and Nam H. Kim, Sensitivity-based parameter calibration and model validation under model error, Journal of Mechanical Design, Vol. 140, No. 1, 011403-1-9, 2018. doi: 10.1115/1.4038298

 
14. H-. S. Kim, S-. G. Jang, N. H. Kim, J-. H. Choi, Statistical calibration and validation of elasto-plastic insertion analysis in pyrotechnically actuated deviced, Structural and Multidisciplinary Optimization, Vol. 54, No. 12, pp. 1573-1585, 2016. doi: 10.1007/s00158-016-1545-8

 
15. D. Lee, N. H. Kim, and H-.S. Kim, Validation and updating in a large automotive vibro-acoustic model using a P-box in the frequency domain, Structural and Multidisciplinary Optimization, Vol. 54, No. 12, pp. 1485-1508, 2016. doi: 10.1007/s00158-016-1427-0

 

Uncertainty and Reliability

1. Na Qiu, Zhiyang Jin, Jinyi Liu, Lirong Fu, Zhenbin Chen, Nam H. Kim, Hybrid multi-objective robust design optimization of a truck cab considering fatigue life, Thin-Walled Structures 162, pp. 107545-1-11, May 2021. https://doi.org/10.1016/j.tws.2021.107545

 
2. T. J. Dodwell, S. Kynaston, R. Butler, R. T. Haftka, N. H. Kim, and R. Scheichl, Multilevel Monte Carlo simulations of composite structures with uncertain manufacturing defects, Probabilistic Engineering Mechanics 63 pp. 1031161-1-12, 2021. https://doi.org/10.1016/j.probengmech.2020.103116

 
3. Sangjune Bae, Chanyoung Park, and Nam H. Kim, Estimating effect of additional sample on uncertainty reduction in reliability analysis using Gaussian process, Journal of Mechanical Design, Vol. 142, No. 11, pp. 111706-1-11, 2020. https://doi.org/10.1115/1.4047002

 
4. Yiming Zhang, Nam H. Kim, Raphael T. Haftka, General-surrogate adaptive sampling using interquartile range for design space exploration, Journal of Mechanical Design, Vol. 142, No. 5, pp. 051402, 2020. https://doi.org/10.1115/1.4044432

 
5. Sangjune Bae, Nam H. Kim, and Seung-gyo Jang, System reliability-based design optimization using trade-off between uncertainty reduction and design shift, Journal of Mechanical Design, Vol. 141, No. 4, pp. 041403 (10 pages), April 2019. doi: 10.1115/1.4041859

 
6. Na Qiu, Yunkai Gao, Jianguang Fang, Guangyong Sun, Qing Li, and Nam H. Kim, Crashworthiness optimization with uncertainty from surrogate model and numerical error, Thin-Walled Structures, Vol. 129, pp. 457-472, 2018. doi: 10.1016/j.tws.2018.05.002

 
7. Garrett C. Waycaster, Taiki Matsumura, Volodymyr Bilotkach, Raphael T. Haftka, and Nam H. Kim, Review of regulatory emphasis on transportation safety in the united states, 2002-2009: Public versus private Modes, Risk Analysis, Vol. 38, No. 5, pp. 1085-1101, 2018. doi: 10.1111/risa.12693

 
8. Makoto Ito, Nam H. Kim, and Nozomu Kogiso, Conservative reliability index for epistemic uncertainty in reliability-based design optimization, Structural and Multidisciplinary Optimization, Vol. 57, No. 5, pp. 1919-1935, 2018. doi: 10.1007/s00158-018-1903-9

 
9. Sangjune Bae, Nam H. Kim, and Seung-gyo Jang, Reliability-based design optimization under sampling uncertainty: Shifting design versus shaping uncertainty, Structural and Multidisciplinary Optimization, Vol. 57, No. 5, pp. 1845-1855, 2018. doi: 10.1007/s00158-018-1936-0

 
10. Minhyung Lee and Nam H. Kim, Multi-scale modeling of composites with surrogate and uncertainty in residual velocity for high-speed impacts, International Journal of Applied Mechanics, Vol. 10, No. 1, pp. 1850006-1 -- 15, 2018. doi: 10.1142/S1758825118500060

 
11. Sangjune Bae, Nam H. Kim, Chanyoung Park, and Zaeill Kim, Confidence interval of Bayesian network and global sensitivity analysis, AIAA Journal, Vol. 55, No. 11, pp. 3916-3924, 2017. doi: 10.2514/1.J055888

 
12. Yiming Zhang, Jaco F. Schutte, Waruna P. Seneviratne, Nam H. Kim, Raphael T. Haftka, Sampling by exploration and replication for estimating experimental strength of composite structures, AIAA Journal, Vol. 55, No. 10, pp. 3594-3602, 2017. doi: 10.2514/1.J055862

 
13. Prashank Kansal, Pramod Kasturi, Nam H. Kim and Seung-gyo Jang, Sensitivity-based reliability analysis of MEMS acceleration switch, Modern Applied Science, Vol. 11, No. 10, pp. 123-136, 2017. doi: 10.5539/mas.v11n10p123

 
14. Yiming Zhang, Chanyoung Park, Nam H. Kim and Raphael T. Haftka, Function prediction at one inaccessible point using converging lines, Journal of Mechanical Design, Vol. 139, No. 5, pp. 051402-051402-11, 2017. doi:10.1115/1.4036130

 
15. N. B. Price, N. H. Kim, R. T. Haftka, M. Balesdent, S. Defoort, and R. Le Riche, Deciding degree of conservativeness in initial design considering risk of future redesign, Journal of Mechanical Design, Vol. 138, No. 11, pp. 111409-1-13, 2016. doi:10.1115/1.4034347

 
16. M. Balesdent, L. Brevault, N. PriceG, S. Defoort, R. Le Riche, N. H. Kim, R. T. Haftka and N. Berend, Advanced space vehicle design taking into account multidisciplinary couplings and mixed epistemic/aleatory uncertainties, G. Fasano, Janos, P. (Eds), Space Engineering: Modeling and Optimization with Case Studies, 114, p. 1-48, 2016, Modeling and Optimization with Case Studies, Springer Optimization and Its Applications, doi:10.1007/978-3-319-41508-6_1

 
17. C. Park and N. H. Kim, Safety envelope for load tolerance of structural element design based on multi-stage testing, Advances in Mechanical Engineering, Vol. 8, No. 9, pp. 1-11, 2016. DOI: 10.1177/1687814016668140

 
18. K. S. Bhachu, R. T. Haftka, and N. H. Kim, Deciding optimal number of fatigue crack growth tests for damage-tolerant design, Journal of Aircraft, Vol. 53, No. 3, pp. 738-745, 2016. DOI: 10.2514/1.C033690

 
19. K. S. Bhachu, R. T. Haftka, and N. H. Kim, Comparison of methods for calculating B-basis crack growth life using limited tests, AIAA Journal, Vol. 54, No. 4, pp. 1287-1298, 2016. DOI: 10.2514/1.J054094

 
20. K. S. Bhachu, R. T. Haftka, G. Waycaster, N. H. Kim and C. Hurst, Probabilistic manufacturing tolerance optimization of damage-tolerant aircraft structures using measured data, Journal of Aircraft, Vol. 52, No. 5, pp. 1412-1421, 2015. DOI: 10.2514/1.C032945

 
21. Chanyoung Park, Nam H. Kim and Raphael T. Haftka The effect of ignoring dependence between failure modes on evaluating system reliability, Structural and Multidisciplinary Optimization, Vol. 52, No. 2, pp. 251-268, 2015. DOI: 10.1007/s00158-015-1239-7

 
22. Taiki MatsumuraG, Raphael T. Haftka and Nam H. Kim, Accurate predictions from noisy data: replication versus exploration with applications to structural failure, Structural and Multidisciplinary Optimization, Vol. 51, No. 1, pp. 23-40, 2015. DOI: 10.1007/s00158-014-1115-x

 
23. Chan Y. Park, Nam H. Kim, Raphael T. Haftka, How coupon and element tests reduce conservativeness in element failure prediction, Reliability Engineering & System Safety, Vol. 123, pp. 123-136, 2014. DOI: 10.1016/j.ress.2013.10.012

 
24. Jian Li, Hai Wang, and Nam H. Kim, Doubly weighted moving least squares and its application to structural reliability analysis, Structural and Multidisciplinary Optimization, Vol. 46, No. 1, pp. 69 - 82, 2012, DOI 10.1007/s00158-011-0748-2

 
25. Tony L. Schmitz, Jaydeep Karandikar, Nam H. Kim, and Ali Abbas, Uncertainty in machining: Workshop summary and contributions, Journal of Manufacturing Science and Engineering, Vol. 133, No. 5, pp. 051009 (9pages), 2011. doi:10.1115/1.4004923

 
26. Erdem Acar, Raphael T. Haftka, and Nam H. Kim, Effects of structural tests on aircraft safety, AIAA Journal, Vol. 48, No. 10, pp. 2235--2248, 2010. DOI: 10.2514/1.J050202

 
27. Sriram Pattabhiraman, George Levesque, Nam H. Kim, and Nagaraj K. Arakere, Uncertainty analysis for rolling contact fatigue failure probability of silicon nitride ball bearings, Int. J. of Solids and Structures, Vol. 47, No. 18-19, pp. 2347--2630, 2010.

 
28. V. Picheny, D. Ginsbourger, O. Roustant, R. T. Haftka, and N. H. Kim, Adaptive design of experiments for accurate approximation of a target region, Journal of Mechanical Design, Vol. 132, No. 7, pp. 071008-1 -- 9, 2010. DOI: 10.1115/1.4001873

 
29. V. Picheny, N. H. Kim, and R. T. Haftka, Application of Bootstrap Method in Conservative Estimation of Reliability with Limited Samples, Structural and Multidisciplinary Optimization, Vol. 41, No. 2, pp. 205--217, 2010.

 
30. P. Ramu, N. H. Kim, and R. T. Haftka, Multiple Tail Median Approach for High Reliability Estimation, Structural Safety, Vol. 32, No. 2, pp. 124--137, 2010.

 
31. S. Kumar, R. Pippy, E. Acar, N. H. Kim, and R. T. Haftka, Approximate Probabilistic Optimization Using Exact-Capacity-Approximate-Response-Distribution (ECARD), Structural and Multidisciplinary Optimization, Vol. 38(6), pp. 613-626, 2009.

 
32. J. An, E. Acar, R. T. Haftka, N. H. Kim, P. G. Ifju, and T. F. Johnson, Being Conservative with a Limited Number of Test Results, Journal of Aircraft Structure, Vol. 45, No. 6, pp. 1969-1975, 2008.

 
33. P. Ramu, N. H. Kim, and R. T. Haftka, Error Amplification in Failure Probability Estimates of Small Errors in Response Surface Approximations, Transaction of Society of Automotive Engineering, Vol. 116, pp. 182-193, 2008

 
34. N. H. Kim, H. Wang, N. V. Queipo, Adaptive Reduction of Design Variables Using Global Sensitivity in Reliability-Based Optimization, International Journal of Reliability and Safety, Vol. 1, No. 1-2, pp. 102-119, 2006

 
35. H. Wang, N. H. Kim, Y.-J. Kim, Safety Envelope for the Load Tolerance And Its Application to Fatigue Reliability Design, ASME Journal of Mechanical Design, Vol 128, No. 4, pp. 919-927, 2006

 
36. N. H. Kim, H. Wang, N. V. Queipo, Efficient Shape Optimization under Uncertainty Using Polynomial Chaos Expansions and Local Sensitivities, AIAA Journal, Vol. 44, No. 5, pp. 1112-1116, 2006

 
37. Y. Lian and N. H. Kim, Reliability-Based Design Optimization of a Transonic Compressor, AIAA Journal, Vol. 44, No. 2, pp. 368-375, 2006

 

Wear and Tribology

1. Saad Mukras, Nam H. Kim, Nathan A. Mauntler, Tony Schmitz, and W. Gregory Sawyer, Comparison between elastic foundation and contact force models in wear analysis of planar multibody system, Journal of Tribology, Vol. 132, No. 3, pp. 031604-1 -- 11, 2010. DOI: 10.1115/1.4001786

 
2. S. Mukras, N. H. Kim, and N. A. Mauntler, T. Schmitz, and W. G. Sawyer, Analysis of planar multibody systems with revolute joint wear, Wear, Vol. 268, No. 5-6, pp. 643--652, 2010.

 
3. S. Mukras, N. A. Mauntler, N. H. Kim, T. L. Schmitz, and W. G. Sawyer, Modeling a slider-crank mechanism with joint wear, SAE Int. J. Passeng. Cars - Mech. Syst. Vol. 2, No. 1, pp. 600--612, 2009.

 
4. L. Ge , N. H. Kim , G. R. Bourne , and W. G. Sawyer, Material Property Identification and Sensitivity Analysis Using Micro-Indentation, Journal of Tribology, Vol. 131, No. 3, pp. 031402-1 -- 7, 2009.

 
5. S. Mukras, N. H. Kim, and W. G. Sawyer, Numerical Integration Schemes and Parallel Computation for Wear Prediction Using Finite Element Method, Wear, Vol. 266, No. 7-8, pp. 822-832, 2009.

 
6. N. L. McCook, D. L. Burris, N. H. Kim, and W. G. Sawyer, Cumulative Damage Modeling of Solid Lubricant Coatings that Experience Wear and Interfacial Fatigue, Wear, Vol. 262, No. 11-12, pp. 1490-1495, 2007.

 
7. N. H. Kim , D. Won , D. Buris, B. Holtkamp, G. R. Gessel, P. Swanson, W. G. Sawyer, Finite Element Analysis and Validation of Metal/Metal Wear in Oscillatory Contacts, Wear, Vol. 258, No. 11-12, pp. 1787-1793, 2005.

 
8. Y. Bei, B. J. Fregly, W. G. Sawyer, S. A. Banks, and N. H. Kim, The relationship between contact pressure, insert thickness, and mild wear in total knee replacements, Computer Modeling in Engineering and Science, Vol. 6, No. 2, pp. 145-152, 2004

 

Modeling and Design Optimization

1. Na Qiu, Zhuoqun Yu, Depei Wang, Mingwei Xiao, Yiming Zhang, and Nam H. Kim, Bayesian optimization of origami multi-cell tubes for energy absorption considering mixed categorical-continuous variables, Thin-Walled Structures, , Vol. 199, Paper No. 111799, 2024. doi: https://doi.org/10.1016/j.tws.2024.111799

 
2. Yiming Zhang, CHen Jia, Hongyi Zhang, Naiyu Fang, Shuyou Zhang, and Nam H. Kim, Improving data-efficiency of deep generative model for fast design synthesis, Journal of Mechanical Science and Technology, Vol. 38, No. 4, pp. 1957-1970, 2024. doi: https://doi.org/10.1007/s12206-024-0328-1

 
3. Na Qiu, Depei Wang, Uajie Li, Mingwei Xiao, Qiang Gao, and Nam H. Kim, Influence of spherical triggers on axial collapse of tapered tubes, International Journal of Crashworthiness, Vol. 29, No. 1, pp. 67-79, 2024. doi: https://doi.org/10.1080/13588265.2023.2183791

 
4. Michael NacIsaac, Salil Bavdekar, James Nance, Bhavani V. Sankar, Nam H. Kim, Ghatu Subhash, A novel rotating flexure-test technique for brittle materials with circular geometries, Experimental Techniques, 2022. doi: https://doi.org/10.1007/s40799-022-00565-6

 
5. Hemanth Thandaga Nagaraju, Bhavani V. Sankar, Nam H. Kim, Ghatu Subhash, An extrapolation method to remove spurious stress concentration in micromechanical analysis of composite using pixel-based meshes, Composite Structures, Vol. 290, Article No. 115522, 2022. doi: https://doi.org/10.1016/j.compstruct.2022.115522

 
6. James Nance, Ghatu Subhash, Bhavani V. Sankar, Nam H. Kim, Christian Deck and Sarah Oswald, Influence of weave architecture on mechanical response of SiCf-SiCm tubular composites, Materials Today Communications, Vol. 33, pp. 104206-1-8, August 2022. doi: https://doi.org/10.1016/j.mtcomm.2022.104206

 
7. James Nance, Ghatu Subhash, Bhavani V. Sankar, Raphael T. Haftka, Nam H. Kim, Christian Deck and Sarah Oswald, Measurement of Residual Stress in Silicon Carbide Fibers of Tubular Composites Using Raman Spectroscopy, Acta Materialia, Vol. 127, pp. 117164-1-8, September 2021. doi: https://doi.org/10.1016/j.actamat.2021.117164

 
8. Hemanth Thandaga Nagaraju, Bhavani V. Sankar, Ghatu Subhash, Nam H. Kim, Effect of Curvature on Extensional Stiffness Matrix of 2-D Braided Composite Tubes, Composites Part A: Applied Science and Manufacturing, Vol 147, pp. 106422-1-10, 2021. doi: https://doi.org/10.1016/j.compositesa.2021.106422

 
9. Nam H. Kim, Ting Dong, David Weinberg, and Jonas Dalidd, Generalized optimality criteria method for topology optimization, Applied Sciences, Vol. 11, pp. 3175, 2021. doi: https://doi.org/10.3390/app11073175

 
10. Woosung Choi, Kanmaniraja Radhakrishnan, Nam H. Kim, and Jun Su Park, Multi-fidelity surrogate models for predicting averaged heat transfer coefficients on endwall of turbine blades, Energies 14, No. 2, pp. 482-1-15, 2021. https://doi.org/10.3390/en14020482

 
11. M. Giselle Fernández-Godino, Chanyoung Park, Nam H. Kim and Raphael T. Haftka, Issues in deciding whether to use multifidelity surrogates, AIAA Journal, Vol. 57, No. 5, pp. 2039--2054, 2019. doi: 10.2514/1.J057750

 
12. Tejas P. Chillale, Nam H. Kim, and Larry N. Smith, Mechanical and finite element analysis of an innovative orthopaedic implant designed to increase the weight carrying ability of the femur and reduce frictional forces on an amputee's stump, Military Medicine, Vol. 184, No. 1, pp. 627--636, March 2019. doi: 10.1093/milmed/usy382

 
13. Yiming Zhang, Nam H. Kim, Chanyoung Park and Raphael T. Haftka, Multi-fidelity surrogate based on single linear regression, AIAA Journal, Vol. 56, No. 12, pp. 4944-4952, 2018. doi: 10.2514/1.J057299

 
14. Chanyoung Park, Raphael T. Haftka, and Nam H. Kim, Low-fidelity scale factor improves Bayesian multi-fidelity prediction by reducing bumpiness of discrepancy function, Structural and Multidisciplinary Optimization, Vol. 58, No. 2, pp. 399-414, 2018. doi: 10.1007/s00158-018-2031-2

 
15. Na Qiu, Yunkai Gao, Jianguang Fang, Guangyong Sun, and Nam H. Kim, Topological design of multi-cell hexagonal tubes under axial and lateral loading cases using a modified particle swarm algorithm, Applied Mathematical Modeling, Vol. 53, pp. 567-583, 2018. doi: 10.1016/j.apm.2017.08.017

 
16. Guilian Yi and Nam H. Kim, Identifying boundaries of topology optimization results using basic parametric features, Structural and Multidisciplinary Optimization, Vol. 55, No. 5, pp. 1641-1654, 2017. doi: 10.1007/s00158-016-1597-9

 
17. J. Fang, G. Sun, N. Qiu, N. H. Kim, and Q. Li, On design optimization for structural crashworthiness and its state of the art, Structural and Multidisciplinary Optimization, Vol. 55, No. 3, pp. 1091-1119, 2017. doi: 10.1007/s00158-016-1579-y

 
18. C. Park, R. T. Haftka, and N. H. Kim, Remarks on multi-fidelity surrogates, Structural and Multidisciplinary Optimization, Vol. 55, No. 3, pp. 1029-1050, 2017. doi: 10.1007/s00158-016-1550-y

 
19. S. K. Gupta, R. Ehsani, N. H. Kim, Optimization of a citrus canopy shaker harvesting system: Mechanistic tree damage and fruit detachment models, Transactions of the ASABE, Vol. 59, No. 4, pp. 761-776, 2016. doi: 10.13031/trans.59.10819

 
20. J. Chung and N. H. Kim, Numerical methods of multiaxial fatigue life prediction for elastomers under variable amplitude loadings, Fatigue and Fracture of Engineering Materials and Structures, Vol. 39, No. 7, pp. 866-876, 2016. DOI: 10.1111/ffe.12401

 
21. S. K. Gupta, R. Ehsani and Nam H. Kim Optimization of a citrus canopy shaker harvesting system: Properties and Modeling of tree limbs, Transactions of the ASABE, Vol. 58, No. 4, pp. 971-985, 2015. DOI: 10.13031/trans.58.10818

 
22. James Davis, Nam H. Kim and Rick Lind Control of the flexural axis of a wing with piezoelectric actuation, Journal of Aircraft, Vol. 52, pp. 584-594, 2015. DOI: 10.2514/1.C032776

 
23. Garrett Waycaster, Christian Bes, Volodymyr Bilotkach, Christian Gogu, Raphael Haftka and Nam-Ho Kim, The effect of stakeholder interactions on design decisions, N.D. Lagaros and M. Papadrakakis (eds.), Engineering and Applied Sciences Optimization, Computational Methods in Applied Sciences 38, pp. 413--425, 2015. DOI: 10.1007/978-3-319-18320-6_22

 
24. Nam H. Kim and Long Ge, Dynamic modeling of electromagnetic suspension system, Journal of Vibration and Control, , Vol. 19, No. 5, pp. 729-741, 2013. DOI: 10.1177/1077546312438601

 
25. Matthew J. Pais, Sencer N. Yeralan, Timothy A. Davis, and Nam H. Kim, An exact reanalysis algorithm using incremental Cholesky factorization and its application to crack growth modeling, International Journal for Numerical Methods in Engineering, Vol. 91, No. 12, pp. 1358-1364, 2012. DOI: 10.1002/nme.4333

 
26. Minki Hwang, Scott A. Berceli, Marc Garbey, Nam H. Kim, Roger Tran-Son-Tay, The dynamics of vein graft modelling induced by hemodynamic forces: a mathematical model, Biomechanics and Modeling in Mechanobiology, Vol. 11, No. 3-4, pp. 411 - 423, 2011, DOI: 10.1007/s10237-011-0321-3

 
27. D. Thanoon, M. Garbey, N. H. Kim, and B. Bass, A computational framework for breast surgery: Application to breast conserving therapy, Computational Surgery and Dual Training, Ed: M. Garbey, B. L. Bass, C. Collet, M. Mathelin, R. Tran-Son-Tay, Springer, NY, pp. 249 -- 268, 2010, ISBN: 978-1-4419-1122-3

 
28. W. Ha, R. S. Mansell, Nam H. Kim, H. A. Ajwa, and C. D. Stanley, 2-D Simulation of Non-isothermal Fate and Transport of a Drip-applied Fumigant in Plastic-mulched Soil Beds. I. Model Development and Performance Investigation, Transport in Porous Media, Vol. 78, No. 1, pp. 77-99, 2009.

 
29. S. Madapusi, N. H. Kim, and Y. Tohme, Predictive molding of precision glass optics, SAE Int. J. Mater. Manuf. Vol. 2, No. 1, pp. 494--501, 2009.

 
30. F. van Keulen, R. T. Haftka, and N. H. Kim, Review of Options for Structural Design Sensitivity Analysis, Part1: Linear Systems, Computer Methods in Applied Mechanics and Engineering, Vol. 194, No. 30-33, pp. 3213-3243, 2005.

 
31. N. H. Kim and Y. Chang, Eulerian Shape Design Sensitivity Analysis and Optimization with Fixed Grid, Computer Methods in Applied Mechanics and Engineering, Vol. 194, No. 30-33, pp. 3291-3314, 2005.

 
32. J. D. Suhey, N. H. Kim, and C. Niezrecki, Numerical Modeling and Design of Inflatable Structures: Application to Open-Ocean-Aquaculture Cages, Aquaculture Engineering, Vol. 33, No. 4, pp. 285-303, 2005.

 
33. N. H. Kim, 11.5 Design Optimization, CRC Handbook of Mechanical Engineering, F. Kreith and D. Y. Goswami ed., CRC Press, NY, pp. 11.45 - 11.92, 2004.

 
34. S. H. Kim and N. H. Kim, Stress distribution and yield stress determination for center cracked layered material, KSME Journal, Vol 8, No. 2, pp. 183-190, 1994.

 

Manufacturing Process Simulation and Design

1. Tony L. Schmitz, Jaydeep Karandikar, Nam H. Kim, and Ali Abbas, Uncertainty in machining: Workshop summary and contributions, Journal of Manufacturing Science and Engineering, Vol. 133, No. 5, pp. 051009 (9pages), 2011. doi:10.1115/1.4004923

 
2. Vasishta Ganguly, Nam H. Kim, Hyo Soo Kim, and Tony Schmitz, Sensitivity analysis of periodic error in heterodyne interferometry, Measurement Science and Technology, Vol. 22, No. 3, pp. 035305 (12pages), 2011. DOI: 10.1088/0957-0233/22/3/035305

 
3. K. Y. Yi, K. K. Choi, N. H. Kim, and M. E. Botkin, Design sensitivity analysis and optimization for minimizing springback of sheet-formed part, Int. J. Num. Methods Eng., Vol. 71, No. 12, pp. 1483-1511, 2007.

 
4. N. K. Garg, B. P. Mann, N. H. Kim, M. H. Kurdi, Stabiliy of a Time-Delayed Differential System with Parametric Excitation, ASME Journal of Dynamic Systems, Guidance and Control, Vol. 129, No. 2, pp. 125-135, 2007.

 
5. N. H. Kim, D. Won, and J. C. Ziegert, Numerical analysis and parameter study of a mechanical damper for use in long slender end mills, International Journal of Machine Tools and Manufacture, Vol. 46, No. 5, pp. 500-507, 2006.

 
6. K. K. Choi and N. H. Kim, Design optimization of springback in a deepdrawing process, AIAA Journal, Vol. 40, No. 1, pp. 147-153, 2002.

 
7. N. H. Kim, K. K. Choi, and J. S. Chen, Die shape design optimization of sheet metal stamping process using meshfree method, Int. J. for Numerical Methods in Engineering, Vol. 51, No. 12, pp. 1385-1405, 2001.

 

Noise, Vibration, and Harshness (NVH) Analysis and Design

1. N. H. Kim and J. Dong, Shape sensitivity analysis of structural-acoustic problems using FEM and BEM, Journal of Sound and Vibration, Vol. 290, No. 1-2, pp. 192-208, 2006.

 
2. C. Pierre, N. Vlahopoulos, Z, -D, Ma, M. P. Castanier, S. -Y. Lee, A. Wang, K. K. Choi, N. H. Kim, and J. Dong, Advanced Structure Methodologies for Next-Generation Ground Vehicles, Part 2: case Study, Int. J. of Heavy Vehicle Systems, Vol. 11, No. 3-4, pp. 282-302, 2004.

 
3. C. Pierre, N. Vlahopoulos, Z, -D, Ma, M. P. Castanier, S. -Y. Lee, A. Wang, K. K. Choi, N. H. Kim, and J. Dong, Advanced Structure Methodologies for Next-Generation Ground Vehicles, Part 1: Basic Theories, Int. J. of Heavy Vehicle Systems, Vol. 11, No. 3-4, pp. 257-281, 2004.

 
4. J. Dong, K. K. Choi, and N. H. Kim, Design Optimization for Structural-Acoustic Problems Using FEA-BEA with Adjoint Variable Method, Journal of Mechanical Design, Vol. 126, No. 3, 527-533, 2004.

 
5. N. H. Kim, J. Dong, and K. K. Choi, Energy flow analysis and design sensitivity of structural problems at high frequencies, J. Sound and Vibration, Vol. 269, No. 1-2, 213-250, 2004.

 
6. N. H. Kim, J. Dong, K. K. Choi, N. Vlahopoulos, Z. D. Ma, M. P. Castanier, and C. Pierre, Design sensitivity analysis for a sequential structural-acoustic problem, J. Sound and Vibration, Vol. 263, No. 3, 569-591, 2003.

 

Meshfree Analysis and Design

1. J. S. Chen and N. H. Kim, Meshfree method and application for shape optimization, in Optimization of Structural and Mechanical Systems, Edited by J. S. Arora, World Scientific Publishing/Imperial College Press, Chapter 14, pp. 389 – 414, 2007.

 
2. N. H. Kim, K. K. Choi, and M. Botkin, Numerical method for shape optimization using meshfree method, Structural and Multidisciplinary Optimization, Vol. 24, No. 6, pp. 418-429, 2003.

 
3. I. Grindeanu, N. H. Kim, K. K. Choi, and J. S. Chen, CAD-based shape optimization using a meshfree method, Concurrent Engineering: Research and Applications, Vol. 10, No. 1, pp. 55-66, 2002.

 

Nonlinear Design Sensitivity Analysis

1. J. Akbari and N. H. Kim, Shape Sensitivity Analysis and Optimization with Design-Dependent Loadings: Equivalence between Continuum and Discrete Derivatives, Structural and Multidisciplinary Optimization, Vol. 40, No. 1, pp. 353 -- 364, 2010.

 
2. N. H. Kim, Sensitivity analysis, Encyclopedia of Aerospace Engineering, Ed R. Blockley and W. Shyy (Eds)., John Wiley and Sons Ltd, Chichester, UK, pp. 5251-5264, 2010

 
3. N. H. Kim, Shape design sensitivity analysis of nonlinear structural systems, in Optimization of Structural and Mechanical Systems, Edited by J. S. Arora, World Scientific Publishing/Imperial College Press, Chapter 7, pp. 195 – 219, 2007.

 
4. K. Y. Yi, K. K. Choi, N. H. Kim, and M. E. Botkin, Continuum-based design sensitivity analysis and optimization of nonlinear shell structure using meshfree method, Int. J. Num. Methods Eng., Vol. 68, No.2, pp. 231-266, 2006.

 
5. N. H. Kim, K. Y. Yi, and K. K. Choi, A material derivative approach in design sensitivity analysis of 3-D contact problems, Int. J. Solids and Structures, Vol. 39, No. 8, pp. 2087-2108, 2002.

 
6. N. H. Kim, K. K. Choi, J. S. Chen, and M. E. Botkin, Meshfree analysis and design sensitivity analysis for shell structures, Int. J. Num. Methods Eng., Vol. 53, No. 9, 2087-2116, 2002.

 
7. N. H. Kim and K. K. Choi, Design sensitivity analysis and optimization of nonlinear transient dynamics, Mechanics of Structures and Machines, Vol. 29, No. 3, pp. 351-371, 2001.

 
8. N. H. Kim, K. K. Choi, and J. S. Chen, Structural optimization of finite deformation elastoplasticity using continuum-based design sensitivity formulation, Computers and Structures, Vol. 79, No. 20-21, pp. 1959-1976, 2001.

 
9. N. H. Kim, Y. H. Park, and K. K. Choi, Optimization of a hyper-elastic structure with multibody contact using continuum-based shape design sensitivity analysis, Structural and Multidisciplinary Optimization, Vol. 21, No. 3, 196-208, 2001.

 
10. N.H. Kim, K. K. Choi, and J. S. Chen, Shape design sensitivity analysis and optimization of elasto-plasticity with frictional contact, AIAA Journal, Vol. 38, No. 9, pp. 1742-1753, 2000.

 
11. N. H. Kim, K. K. Choi, J. S. Chen, and Y. H. Park, Meshless shape design sensitivity analysis and optimization for contact problem with friction, Computational Mechanics, Vol. 25, No. 2/3, pp. 157-168, 2000.