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사진
Lee, Ikjin (이익진)
교수, (기계공학과)
Research Area
Mechanical Engineering, Design Optimization, Reliability Analysis and Design
Co-researchers
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    An effective active learning strategy for reliability-based design optimization under multiple simulation models

    Yang, Seonghyeok; Lee, Mingyu; Jung, Yongsu; et al, STRUCTURAL SAFETY, v.107, 2024-03

    2
    A survey on design optimization of battery electric vehicle components, systems, and management

    Acar, Erdem; Jain, Naman; Ramu, Palaniappan; et al, Structural and Multidisciplinary Optimization, v.67, no.3, 2024-03

    3
    Uncertainty‐oriented thermoelastic topology optimization with stress constraint

    Cheng, Changzheng; Yang, Bo; Wang, Xuan; et al, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, v.125, no.10, 2024-02

    4
    Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework

    Park, Youngseo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.67, no.1, 2024-01

    5
    A novel sampling method for adaptive gradient-enhanced Kriging

    Lee, Mingyu; Noh, Yoojeong; Lee, Ikjin, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.418, 2024-01

    6
    Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review

    Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; et al, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12

    7
    Surrogate-Based Time- Dependent Reliability Analysis for a Digital Twin

    Hu, Weifei; Yan, Jiquan; Zhao, Feng; et al, JOURNAL OF MECHANICAL DESIGN, v.145, no.9, 2023-09

    8
    A nonlinearity integrated bi-fidelity surrogate model based on nonlinear mapping

    Li, Kunpeng; Li, Qingye; Lv, Liye; et al, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.66, no.9, 2023-09

    9
    Distribution estimation of Johnson-Cook parameters considering correlation in quasi-static state

    Choo, Jeonghwan; Jung, Yongsu; Jo, Hwisang; et al, INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, v.244, 2023-04

    10
    A New Framework for Efficient Sequential Sampling-Based RBDO Using Space Mapping

    Park, Jeong Woo; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.145, no.3, 2023-03

    11
    A new sampling approach for system reliability-based design optimization under multiple simulation models

    Yang, Seonghyeok; Lee, Mingyu; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.231, 2023-03

    12
    Fe-Ni-Cr diffusion barrier for high-temperature operation of Bi2Te3

    Park, Sang Hyun; Kim, Yeongseon; Jang, Hanhwi; et al, JOURNAL OF ALLOYS AND COMPOUNDS, v.932, 2023-01

    13
    A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization

    Lee, Mingyu; Jung, Yongsu; Choi, Jaehoon; et al, COMPUTERS & STRUCTURES, v.273, 2022-12

    14
    Small failure probability: principles, progress and perspectives

    Lee, Ikjin; Lee, Ungki; Ramu, Palaniappan; et al, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11

    15
    A survey of machine learning techniques in structural and multidisciplinary optimization

    Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem; et al, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.9, 2022-09

    16
    Modeling of geometric uncertainties in topology optimization via the shift of design nodes

    Kim, Jonghyun; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.7, 2022-07

    17
    Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design

    Lee, Mingyu; Park, Youngseo; Jo, Hwisang; et al, JOURNAL OF MECHANICAL DESIGN, v.144, no.7, 2022-07

    18
    An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis

    Kim, Minjik; Jung, Yongsu; Lee, Mingyu; et al, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.7, 2022-07

    19
    Expected system improvement (ESI): A new learning function for system reliability analysis

    Yang, Seonghyeok; Jo, Hwisang; Lee, Kyungeun; et al, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.222, 2022-06

    20
    Statistical model calibration and design optimization under aleatory and epistemic uncertainty

    Jung, Yongsu; Jo, Hwisang; Choo, Jeonghwan; et al, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.222, 2022-06

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