Ikjin Lee

发表

Relaxed performance measure approach for reliability-based design optimization

B. Keshtegar, Ikjin Lee, 2016 .

Sensitivity analyses of FORM‐based and DRM‐based performance measure approach (PMA) for reliability‐based design optimization (RBDO)

K. Choi, Ikjin Lee, D. Gorsich, 2010 .

Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method

K. Choi, Liang Zhao, Ikjin Lee, 2011 .

A Novel Second-Order Reliability Method (SORM) Using Noncentral or Generalized Chi-Squared Distributions

Ikjin Lee, Y. Noh, David Yoo, 2012 .

Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems

K. Choi, Liu Du, Ikjin Lee, 2008 .

Second‐order reliability method‐based inverse reliability analysis using Hessian update for accurate and efficient reliability‐based design optimization

Ikjin Lee, Jongmin Lim, Byungchai Lee, 2014 .

Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems with Correlated Random Variables

K. Choi, Liang Zhao, Ikjin Lee, 2011, DAC 2010.

Sampling-Based RBDO Using Probabilistic Sensitivity Analysis and Virtual Support Vector Machine

K. Choi, Ikjin Lee, H. Song, 2012, DAC 2012.

Bayesian inference of the flow resistivity of a sound absorber and the room's influence on the Sabine absorption coefficients.

Ikjin Lee, C. Jeong, Sang-Hyeon Choi, 2017, The Journal of the Acoustical Society of America.

DETC2012-70715 Sampling-based RBDO using Probabilistic Sensitivity Analysis and Virtual Support Vector Machine

K. K. Choi, K. Choi, Ikjin Lee, 2012 .

System reliability-based design optimization using the MPP-based dimension reduction method

K. Choi, Ikjin Lee, D. Gorsich, 2010 .

Topology optimization of heat sinks in natural convection considering the effect of shape-dependent heat transfer coefficient

Ikjin Lee, S. Kim, Y. Joo, 2017 .

Reliability-Based Design Optimization with Confidence Level for Problems with Correlated Input Distributions

K. K. Choi, K. Choi, Ikjin Lee, 2012 .

Design Sensitivity Method for Sampling-Based RBDO With Fixed COV

K. Choi, Ikjin Lee, D. Lamb, 2015, DAC 2015.

Sampling-based approach for design optimization in the presence of interval variables

Ikjin Lee, David Yoo, Ikjin Lee, 2014, DAC 2014.

Reliability-based design optimization with confidence level under input model uncertainty due to limited test data

Kyung K. Choi, David Gorsich, David Lamb, 2011 .

Sampling-Based RBDO Using the Dynamic Kriging (D-Kriging) Method and Stochastic Sensitivity Analysis

Kyung K. Choi, Ikjin Lee, K. Choi, 2010 .

Identification of marginal and joint CDFs using Bayesian method for RBDO

Kyung K. Choi, Ikjin Lee, Yoojeong Noh, 2009 .

Comparison Study Between Probabilistic and Possibilistic Approach for Problems With Correlated Input and Lack of Input Statistical Information

K. Choi, Ikjin Lee, Y. Noh, 2009, DAC 2009.

Sensitivity Analyses of FORM-Based and DRM-Based Performance Measure Approach for Reliability-Based Design Optimization

Kyung K. Choi, David Gorsich, Ikjin Lee, 2008, DAC 2008.

A New Inverse Reliability Analysis Method Using MPP-Based Dimension Reduction Method (DRM)

Kyung K. Choi, David Gorsich, Ikjin Lee, 2007, DAC 2007.

Accuracy improvement of the most probable point‐based dimension reduction method using the hessian matrix

Ikjin Lee, Ikjin Lee, Seong Bin Kang, 2017 .

Probabilistic sensitivity analysis for novel second-order reliability method (SORM) using generalized chi-squared distribution

Ikjin Lee, Hyunkyoo Cho, David Yoo, 2014 .

Robust Design Concept in Possibility Theory and Optimization for System With Both Random and Fuzzy Input Variables

K. Choi, Liu Du, Ikjin Lee, 2007, DAC 2007.

Process of measurement error treatment using model selection and local intensive smoothing and application to refractive index estimation of water

Bong Jae Lee, Ikjin Lee, J. Kim, 2020 .

Bio-inspired bimaterial composites patterned using three-dimensional printing

Ikjin Lee, Jung‐Wuk Hong, Sang Eon Lee, 2019, Composites Part B: Engineering.

Design for shared autonomous vehicle (SAV) system employing electrified vehicles: Comparison of battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs)

Ikjin Lee, Ungki Lee, S. Jeon, 2022, Cleaner Engineering and Technology.

Design Automation by Integrating Generative Adversarial Networks and Topology Optimization

Ikjin Lee, Namwoo Kang, Sangeun Oh, 2018, Volume 2A: 44th Design Automation Conference.

Modeling of geometric uncertainties in topology optimization via the shift of design nodes

Ikjin Lee, Jonghyune Kim, 2022, Structural and Multidisciplinary Optimization.

Efficient three-dimensional topology optimization of heat sinks in natural convection using the shape-dependent convection model

Ikjin Lee, S. Kim, Y. Joo, 2018, International Journal of Heat and Mass Transfer.

Optimization of a direct absorption solar collector with blended plasmonic nanofluids

Bong Jae Lee, Ikjin Lee, Caiyan Qin, 2017 .

Accuracy Improvement of MPP-Based Dimension Reduction Method Using the Eigenvectors of the Hessian Matrix

Ikjin Lee, Jongmin Lim, Seongbin Kang, 2015 .

3D reconstruction of as-built model of plant piping system from point clouds and port information

Soonhung Han, Ikjin Lee, Inhwan Dennis Lee, 2020, J. Comput. Des. Eng..

An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis

Ikjin Lee, Minjik Kim, Yongsu Jung, 2022, Structural and Multidisciplinary Optimization.

A survey of machine learning techniques in structural and multidisciplinary optimization

Ikjin Lee, E. Acar, Palaniappan Ramu, 2022, Structural and Multidisciplinary Optimization.

Characterization of Hardening Behaviors of 4130 Steel, OFHC Copper, Ti6Al4V Alloy Considering Ultra-High Strain Rates and high Temperatures

Ikjin Lee, H. Huh, M. Piao, 2017 .

A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization

Ikjin Lee, Yongsu Jung, Mingyu Lee, 2022, Computers & Structures.

Small failure probability: principles, progress and perspectives

Ikjin Lee, E. Acar, Palaniappan Ramu, 2022, Structural and Multidisciplinary Optimization.

Fe-Ni-Cr Diffusion Barrier for High-temperature Operation of Bi2Te3

Ikjin Lee, M. Oh, Sang Hyun Park, 2022, Journal of Alloys and Compounds.

Selective dimension reduction method (DRM) to enhance accuracy and efficiency of most probable point (MPP)–based DRM

Ikjin Lee, Hyunkyoo Cho, J. Park, 2019, Structural and Multidisciplinary Optimization.

Variable selection using Gaussian process regression-based metrics for high-dimensional model approximation with limited data

Ikjin Lee, Hyunkyoo Cho, Kyungeun Lee, 2018, Structural and Multidisciplinary Optimization.

Small failure probability: principles, progress and perspectives

Ikjin Lee, E. Acar, Palaniappan Ramu, 2022, Structural and Multidisciplinary Optimization.

Efficient high-dimensional metamodeling strategy using recursive decomposition coupled with sequential sampling method

Ikjin Lee, Kyeonghwan Kang, 2020, Structural and Multidisciplinary Optimization.

Comparison study between probabilistic and possibilistic methods for problems under a lack of correlated input statistical information

K. K. Choi, K. Choi, Ikjin Lee, 2012, Structural and Multidisciplinary Optimization.

Determination of sample size for input variables in RBDO through bi-objective confidence-based design optimization under input model uncertainty

Ikjin Lee, Hyunkyoo Cho, Zunyi Duan, 2019, Structural and Multidisciplinary Optimization.

Reliability measure approach for confidence-based design optimization under insufficient input data

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2019, Structural and Multidisciplinary Optimization.

Conservative reliability-based design optimization method with insufficient input data

K. Choi, Ikjin Lee, D. Gorsich, 2016, Structural and Multidisciplinary Optimization.

Integrated design optimization of composite frames and materials for maximum fundamental frequency with continuous fiber winding angles

Ikjin Lee, Zunyi Duan, Jingyuan Wang, 2018, Acta Mechanica Sinica.

Modified augmented Lagrangian coordination and alternating direction method of multipliers with parallelization in non-hierarchical analytical target cascading

Ikjin Lee, Namwoo Kang, Yongsu Jung, 2018, Structural and Multidisciplinary Optimization.

MPP-based approximated DRM (ADRM) using simplified bivariate approximation with linear regression

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2018, Structural and Multidisciplinary Optimization.

Sampling-based approach for design optimization in the presence of interval variables

Ikjin Lee, David Yoo, 2013, Structural and Multidisciplinary Optimization.

Equivalent target probability of failure to convert high-reliability model to low-reliability model for efficiency of sampling-based RBDO

K. K. Choi, K. Choi, Ikjin Lee, 2013, Structural and Multidisciplinary Optimization.

A new sampling approach for system reliability-based design optimization under multiple simulation models

Ikjin Lee, Mingyu Lee, Seong-Gyu Yang, 2022, Reliab. Eng. Syst. Saf..

Probabilistic sensitivity analysis for novel second-order reliability method (SORM) using generalized chi-squared distribution

Ikjin Lee, David Yoo, Hyunkyoo Cho, 2014, Structural and Multidisciplinary Optimization.

Distribution estimation of Johnson-Cook parameters considering correlation in quasi-static state

Ikjin Lee, Yongsu Jung, Jeonghwan Choo, 2022, International Journal of Mechanical Sciences.

Industrial issues and solutions to statistical model improvement: a case study of an automobile steering column

B. Youn, Ikjin Lee, Y. Noh, 2020, Structural and Multidisciplinary Optimization.

Adaptive single-loop reliability-based design optimization and post optimization using constraint boundary sampling

Ikjin Lee, Sang-Hyeon Choi, Gwang-Gi Lee, 2018, Journal of Mechanical Science and Technology.

Choice data generation using usage scenarios and discounted cash flow analysis

Ikjin Lee, Namwoo Kang, Ungki Lee, 2020 .

Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients

Ikjin Lee, Yongsu Jung, Hwisang Jo, 2021, Structural and Multidisciplinary Optimization.

Reliability-based Design Optimization with Confidence Level for Non-Gaussian Distributions Using Bootstrap Method

Kyung K. Choi, David Gorsich, David Lamb, 2011, DAC 2010.

Identification of elastomeric isolator parameters on air-borne EO/IR camera with multi-axis gimbal

S. Youn, Ikjin Lee, Sang-won Kim, 2019, Journal of Mechanical Science and Technology.

Equivalent Standard Deviation to Convert High-Reliability Model to Low-Reliability Model for Efficiency of Sampling-Based RBDO

Kyung K. Choi, David Gorsich, Ikjin Lee, 2011, DAC 2011.

Process of measurement error treatment using model selection and local intensive smoothing and application to refractive index estimation of water

Ikjin Lee, J. Kim, Kyungeun Lee, 2020, Applied Physics B.

Selective dimension reduction method (DRM) to enhance accuracy and efficiency of most probable point (MPP)–based DRM

Ikjin Lee, Hyunkyoo Cho, Jeong Woo Park, 2020, Structural and Multidisciplinary Optimization.

Optimization of the spectral absorption coefficient of a plasmonic nanofluid for a direct absorption solar collector

Bong Jae Lee, Ikjin Lee, Caiyan Qin, 2018, Solar Energy.

Efficient high-dimensional metamodeling strategy using selectively high-ordered kriging HDMR (SH-K-HDMR)

Ikjin Lee, Donghyun Kim, 2021, Journal of Mechanical Science and Technology.

Confidence-Based Design Optimization for a More Conservative Optimum Under Surrogate Model Uncertainty Caused by Gaussian Process

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2021 .

Modeling, analysis, and optimization under uncertainties: a review

Ikjin Lee, E. Acar, Palaniappan Ramu, 2021, Structural and Multidisciplinary Optimization.

Equivalent target probability of failure to convert high-reliability model to low-reliability model for efficiency of sampling-based RBDO

Kyung K. Choi, Ikjin Lee, Jaekwan Shin, 2013 .

Adaptive virtual support vector machine for reliability analysis of high-dimensional problems

Kyung K. Choi, David Lamb, Liang Zhao, 2013 .

Adaptive virtual support vector machine for reliability analysis of high-dimensional problems

Kyung K. Choi, David Lamb, Liang Zhao, 2012, Structural and Multidisciplinary Optimization.

Metamodeling Method Using Dynamic Kriging for Design Optimization

Kyung K. Choi, Ikjin Lee, Liang Zhao, 2011 .

A Metamodeling Method Using Dynamic Kriging and Sequential Sampling

Kyung K. Choi, Liang Zhao, Ikjin Lee, 2010 .

World Congress on Structural and Multidisciplinary Optimization Sequential-sampling-based Kriging Method with Dynamic Basis Selection

Liang Zhao, David Gorsich, Ikjin Lee, 2022 .

Response Surface Method Using Sequential Sampling for Reliability-Based Design Optimization

Kyung K. Choi, Liang Zhao, Ikjin Lee, 2009, DAC 2009.

Efficient high-dimensional metamodeling strategy using recursive decomposition coupled with sequential sampling method

Ikjin Lee, Kyeonghwan Kang, Ikjin Lee, 2020 .

Deep Generative Design: Integration of Topology Optimization and Generative Models

Ikjin Lee, Seongsin Kim, Namwoo Kang, 2019, Journal of Mechanical Design.

Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization

Ikjin Lee, Namwoo Kang, Sangeun Oh, 2019, ArXiv.

A two-step optimization scheme based on equivalent stiffness parameters for forcing convexity of fiber winding angle in composite frames

E. Lund, Ikjin Lee, Zunyi Duan, 2019, Structural and Multidisciplinary Optimization.

A two-step optimization scheme based on equivalent stiffness parameters for forcing convexity of fiber winding angle in composite frames

Erik Lund, Ikjin Lee, Zunyi Duan, 2019, Structural and Multidisciplinary Optimization.

Statistical model calibration and design optimization under aleatory and epistemic uncertainty

Ikjin Lee, Yongsu Jung, Jeonghwan Choo, 2022, Reliab. Eng. Syst. Saf..

Sequential optimization and reliability assessment based on dimension reduction method for accurate and efficient reliability-based design optimization

Ikjin Lee, Jongmin Lim, Byungchai Lee, 2014 .

Integrated design optimization of composite frames and materials for maximum fundamental frequency with continuous fiber winding angles

Tao Yu, Jingyuan Wang, Ikjin Lee, 2018, Acta Mechanica Sinica.

Optimization of a near-field thermophotovoltaic system operating at low temperature and large vacuum gap

Bong Jae Lee, Ikjin Lee, Ji-hoon Kim, 2018 .

Design of a Broadband Solar Thermal Absorber Using a Deep Neural Network and Experimental Demonstration of Its Performance

Ikjin Lee, Jungchul Lee, Bong Jae Lee, 2019, Scientific Reports.

Topology optimization of a heat sink with an axially uniform cross-section cooled by forced convection

Ikjin Lee, S. Kim, Gilho Lee, 2020 .

Reliability measure approach for confidence-based design optimization under insufficient input data

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2019, Structural and Multidisciplinary Optimization.

Conservative reliability-based design optimization method with insufficient input data

David Gorsich, David Lamb, Ikjin Lee, 2016 .

Confidence Level Estimation and Design Sensitivity Analysis for Confidence-Based RBDO

David Gorsich, Ikjin Lee, Hyunkyoo Cho, 2012, DAC 2012.

Reliability-based multi-scale design optimization of composite frames considering structural compliance and manufacturing constraints

Jun Yan, Ikjin Lee, Yongsu Jung, 2020, Structural and Multidisciplinary Optimization.

Discrete material selection and structural topology optimization of composite frames for maximum fundamental frequency with manufacturing constraints

Jun Yan, Erik Lund, Ikjin Lee, 2019, Structural and Multidisciplinary Optimization.

Intelligent initial point selection for MPP search in reliability-based design optimization

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2020 .

Adaptive single-loop reliability-based design optimization and post optimization using constraint boundary sampling

Ikjin Lee, Gwangwon Lee, Sang-Hyeon Choi, 2018, Journal of Mechanical Science and Technology.

Determination of sample size for input variables in RBDO through bi-objective confidence-based design optimization under input model uncertainty

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2020, Structural and Multidisciplinary Optimization.

Design Sensitivity Method for Sampling-Based RBDO With Varying Standard Deviation

Kyung K. Choi, David Lamb, Ikjin Lee, 2016 .

Optimal design of experiments for optimization-based model calibration using Fisher information matrix

Ikjin Lee, Yongsu Jung, Ikjin Lee, 2021, Reliab. Eng. Syst. Saf..

Error-lumped inverse uncertainty quantification of automotive heat exchangers (HEXs) using large-scale database from system level tests

Ikjin Lee, Seongmin Pae, Hwisang Jo, 2021, Structural and Multidisciplinary Optimization.

Reliability-based acoustical topology optimization of mufflers under noise frequency and temperature uncertainties

Ikjin Lee, Jong Kyeom Lee, Jin Woo Lee, 2021 .

Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach

Ikjin Lee, Namwoo Kang, Ungki Lee, 2020 .

Selection of optimal target reliability in RBDO through reliability-based design for market systems (RBDMS) and application to electric vehicle design

Ikjin Lee, Namwoo Kang, Ungki Lee, 2019, Structural and Multidisciplinary Optimization.

RELIABILITY-BASED DESIGN OPTIMIZATION (RBDO) FOR ELECTRIC VEHICLE MARKET SYSTEMS

Ikjin Lee, Namwoo Kang, Ungki Lee, 2017, DAC 2017.

Reliability-based multi-scale design optimization of composite frames considering structural compliance and manufacturing constraints

Ikjin Lee, Zunyi Duan, Yongsu Jung, 2020, Structural and Multidisciplinary Optimization.

MPP-based approximated DRM (ADRM) using simplified bivariate approximation with linear regression

Ikjin Lee, Hyunkyoo Cho, Yongsu Jung, 2018, Structural and Multidisciplinary Optimization.

Reliability-Based Vehicle Safety Assessment and Design Optimization of Roadway Radius and Speed Limit in Windy Environments

Ikjin Lee, Jaekwan Shin, Ikjin Lee, 2014 .

Conservative Surrogate Model Using Weighted Kriging Variance for Sampling-Based RBDO

Kyung K. Choi, David Gorsich, Liang Zhao, 2013, Journal of Mechanical Design.

Development and Utilization of a Rapid and Accurate Epidemic Investigation Support System for COVID-19

Seokjun Lee, Jaeho Kim, Ikjin Lee, 2020, Osong public health and research perspectives.

Pattern-free heliostat field layout optimization using physics-based gradient

Ikjin Lee, Kyungeun Lee, Seong-Gyu Yang, 2020 .

Expected system improvement (ESI): A new learning function for system reliability analysis

Ikjin Lee, Kyungeun Lee, Seong-Gyu Yang, 2022, Reliab. Eng. Syst. Saf..

Relaxed performance measure approach for reliability-based design optimization

B. Keshtegar, Ikjin Lee, 2016, Structural and Multidisciplinary Optimization.

Robust optimization of a tandem grating solar thermal absorber

Bong Jae Lee, Ikjin Lee, Mingeon Kim, 2018 .

Reliability analysis and reliability-based design optimization of roadway horizontal curves using a first-order reliability method

Ikjin Lee, Jaekwan Shin, Ikjin Lee, 2015 .

Reliability-Based Design Optimization of Highway Horizontal Curves Based on First-Order Reliability Method

Ikjin Lee, Jaekwan Shin, Ikjin Lee, 2013 .

A bayesian model calibration under insufficient data environment

Ikjin Lee, Yongsu Jung, Jeonghwan Choo, 2022, Structural and Multidisciplinary Optimization.

Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation

Ikjin Lee, Jongmin Lee, Namwoo Kang, 2020 .

Modified augmented Lagrangian coordination and alternating direction method of multipliers with parallelization in non-hierarchical analytical target cascading

Ikjin Lee, Namwoo Kang, Yongsu Jung, 2018 .

Convergence Strategy for Parallel Solving of Analytical Target Cascading with Augmented Lagrangian Coordination

Ikjin Lee, Namwoo Kang, Yongsu Jung, 2017 .

Modified screening-based Kriging method with cross validation and application to engineering design

Ikjin Lee, Bong Jae Lee, Kyeonghwan Kang, 2019, Applied Mathematical Modelling.

Determination of absorption coefficient of nanofluids with unknown refractive index from reflection and transmission spectra

Bong Jae Lee, Ikjin Lee, Seungyoon Lee, 2018, Journal of Quantitative Spectroscopy and Radiative Transfer.

Characterization of flow stress at ultra-high strain rates by proper extrapolation with Taylor impact tests

Ikjin Lee, H. Huh, Kwanghyun Ahn, 2016 .

Comparison study between probabilistic and possibilistic methods for problems under a lack of correlated input statistical information

Kyung K. Choi, David Lamb, Ikjin Lee, 2013 .

Optimization of a heliostat field site in central receiver systems based on analysis of site slope effect

Ikjin Lee, Kyungeun Lee, Ikjin Lee, 2019, Solar Energy.

Robust design optimization (RDO) of thermoelectric generator system using non-dominated sorting genetic algorithm II (NSGA-II)

Ikjin Lee, Sudong Park, Ungki Lee, 2020 .

Dimension reduction method for reliability-based robust design optimization

Kyung K. Choi, David Gorsich, Ikjin Lee, 2006 .

Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization pdf

Ikjin Lee, Seongsin Kim, Namwoo Kang, 2020, Journal of Cleaner Production.

Sampling-based weighted reliability-based design optimization

Ikjin Lee, Ungki Lee, 2021, Structural and Multidisciplinary Optimization.

Industrial issues and solutions to statistical model improvement: a case study of an automobile steering column

Ikjin Lee, Byeng D. Youn, Kyeonghwan Kang, 2020 .

Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach

Ikjin Lee, Namwoo Kang, Ungki Lee, 2019, Structural And Multidisciplinary Optimization.

Variable selection using Gaussian process regression-based metrics for high-dimensional model approximation with limited data

Ikjin Lee, Hyunkyoo Cho, Kyungeun Lee, 2018, Structural and Multidisciplinary Optimization.