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Jeon, Jaehwan / Song, Junho (2025): Neural Network–Augmented Physics Models Using Modal Truncation for Dynamic MDOF Systems under Response-Dependent Forces. Dans: Journal of Engineering Mechanics (ASCE), v. 151, n. 1 (janvier 2025).
https://doi.org/10.1061/jenmdt.emeng-7845
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Zwirglmaier, Kilian / Chan, Jianpeng / Papaioannou, Iason / Song, Junho / Straub, Daniel (2024): Hybrid Bayesian Networks for Reliability Assessment of Infrastructure Systems. Dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 10, n. 2 (juin 2024).
https://doi.org/10.1061/ajrua6.rueng-1005
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Ok, Seung-Yong / Jung, Sungmoon / Song, Junho (2018): Multiobjective Optimization Approach for Robust Bridge Damage Identification against Sensor Noise. Dans: Shock and Vibration, v. 2018 ( 2018).
https://doi.org/10.1155/2018/3024209
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Kang, Chulyoung / Kwon, Oh‐Sung / Song, Junho (2022): Quantifying uncertainties and correlations of engineering demand parameters of building structures for regional seismic loss assessment. Dans: Earthquake Engineering and Structural Dynamics, v. 51, n. 7 (juin 2022).
https://doi.org/10.1002/eqe.3648
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Kim, Minkyu / Song, Junho (2022): Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network. Dans: Journal of Engineering Mechanics (ASCE), v. 148, n. 3 (mars 2022).
https://doi.org/10.1061/(asce)em.1943-7889.0002066
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Lee, Dongkyu / Song, Junho (2021): Multi‐scale seismic reliability assessment of networks by centrality‐based selective recursive decomposition algorithm. Dans: Earthquake Engineering and Structural Dynamics, v. 50, n. 8 (10 juillet 2021).
https://doi.org/10.1002/eqe.3447
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Kim, Jungho / Song, Junho (2021): Reliability-Based Design Optimization Using Quantile Surrogates by Adaptive Gaussian Process. Dans: Journal of Engineering Mechanics (ASCE), v. 147, n. 5 (mai 2021).
https://doi.org/10.1061/(asce)em.1943-7889.0001910
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Mun, Changuk / Song, Junho (2020): Probabilistic Modeling and Inference for Structures under Sequence of Hazardous Events Using Matrix-based Bayesian Network. Présenté pendant: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.
https://doi.org/10.2749/seoul.2020.338
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Kim, Jaehong / LaFavet, James M. / Song, Junho (2007): A new statistical approach for joint shear strength determination of RC beam-column connections subjected to lateral earthquake loading. Dans: Structural Engineering and Mechanics, v. 27, n. 4 (novembre 2007).
https://doi.org/10.12989/sem.2007.27.4.439
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Kim, Jungho / Song, Junho (2020): Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis. Dans: Structural Safety, v. 85 (juillet 2020).
https://doi.org/10.1016/j.strusafe.2020.101924
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Kim, Taeyong / Song, Junho / Kwon, Oh‐Sung (2020): Pre‐ and post‐earthquake regional loss assessment using deep learning. Dans: Earthquake Engineering and Structural Dynamics, v. 49, n. 7 (juin 2020).
https://doi.org/10.1002/eqe.3258
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Kim, Taeyong / Song, Junho / Kwon, Oh-Sung (2020): Probabilistic evaluation of seismic responses using deep learning method. Dans: Structural Safety, v. 84 (mai 2020).
https://doi.org/10.1016/j.strusafe.2019.101913
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Chetchotisak, Panatchai / Teerawong, Jaruek / Yindeesuk, Sukit / Song, Junho (2014): New strut-and-tie-models for shear strength prediction and design of RC deep beams. Dans: Computers and Concrete, v. 14, n. 1 (juillet 2014).
https://doi.org/10.12989/cac.2014.14.1.019
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Song, Junho / Der Kiureghian, Armen (2006): Generalized Bouc–Wen Model for Highly Asymmetric Hysteresis. Dans: Journal of Engineering Mechanics (ASCE), v. 132, n. 6 (juin 2006).
https://doi.org/10.1061/(asce)0733-9399(2006)132:6(610)
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Song, Junho / Der Kiureghian, Armen (2006): Joint First-Passage Probability and Reliability of Systems under Stochastic Excitation. Dans: Journal of Engineering Mechanics (ASCE), v. 132, n. 1 (janvier 2006).
https://doi.org/10.1061/(asce)0733-9399(2006)132:1(65)
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Song, Junho / Ok, Seung-Yong (2010): Multi-scale system reliability analysis of lifeline networks under earthquake hazards. Dans: Earthquake Engineering and Structural Dynamics, v. 39, n. 3 (mars 2010).
https://doi.org/10.1002/eqe.938
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Jeon, Jong-Su / Mangalathu, Sujith / Song, Junho / DesRoches, Reginald (2019): Parameterized Seismic Fragility Curves for Curved Multi-frame Concrete Box-Girder Bridges Using Bayesian Parameter Estimation. Dans: Journal of Earthquake Engineering, v. 23, n. 6 ( 2019).
https://doi.org/10.1080/13632469.2017.1342291
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Kim, Seung-Min / Ok, Seung-Yong / Song, Junho (2019): Multi-scale Dynamic System Reliability Analysis of Actively-controlled Structures under Random Stationary Ground Motions. Dans: KSCE Journal of Civil Engineering, v. 23, n. 3 (janvier 2019).
https://doi.org/10.1007/s12205-019-1584-y
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Yi, Sang‐ri / Wang, Ziqi / Song, Junho (2019): Gaussian mixture–based equivalent linearization method (GM‐ELM) for fragility analysis of structures under nonstationary excitations. Dans: Earthquake Engineering and Structural Dynamics, v. 48, n. 10 (août 2019).
https://doi.org/10.1002/eqe.3185
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Wang, Ziqi / Broccardo, Marco / Song, Junho (2019): Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis. Dans: Structural Safety, v. 76 (janvier 2019).
https://doi.org/10.1016/j.strusafe.2018.05.005
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Wang, Ziqi / Song, Junho (2018): Hyper-spherical extrapolation method (HEM) for general high dimensional reliability problems. Dans: Structural Safety, v. 72 (mai 2018).
https://doi.org/10.1016/j.strusafe.2017.12.005
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Chun, Junho / Song, Junho / Paulino, Glaucio H. (2015): Parameter sensitivity of system reliability using sequential compounding method. Dans: Structural Safety, v. 55 (juillet 2015).
https://doi.org/10.1016/j.strusafe.2015.02.001
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Coccon, Marco N. / Song, Junho / Ok, Seung-Yong / Galvanetto, Ugo (2016): A new approach to system reliability analysis of offshore structures using dominant failure modes identified by selective searching technique. Dans: KSCE Journal of Civil Engineering, v. 21, n. 6 (décembre 2016).
https://doi.org/10.1007/s12205-016-1192-z
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Ok, Seung-Yong / Song, Junho / Park, Kwan-Soon (2008): Optimal performance design of bi-Tuned Mass Damper systems using multi-objective optimization. Dans: KSCE Journal of Civil Engineering, v. 12, n. 5 (septembre 2008).
https://doi.org/10.1007/s12205-008-0313-8
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Kang, Won-Hee / Lee, Young-Joo / Song, Junho / Gencturk, Bora (2012): Further development of matrix-based system reliability method and applications to structural systems. Dans: Structure and Infrastructure Engineering, v. 8, n. 5 (mai 2012).
https://doi.org/10.1080/15732479.2010.539060
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Ok, Seung-Yong / Song, Junho / Park, Kwan-Soon (2008): Optimal design of hysteretic dampers connecting adjacent structures using multi-objective genetic algorithm and stochastic linearization method. Dans: Engineering Structures, v. 30, n. 5 (mai 2008).
https://doi.org/10.1016/j.engstruct.2007.07.019
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Saykin, Vitaliy V. / Nguyen, Tam H. / Hajjar, Jerome F. / Deniz, Derya / Song, Junho (2017): Material characterization using finite element deletion strategies for collapse modeling of steel structures. Dans: Engineering Structures, v. 147 (septembre 2017).
https://doi.org/10.1016/j.engstruct.2017.05.059
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Byun, Ji-Eun / Song, Junho / Zwirglmaier, Kilian / Straub, Daniel (2018): An Improved Non-parametric Bayesian Independence Test for Probabilistic Learning of the Dependence Structure Among Continuous Random Variables. Dans: KSCE Journal of Civil Engineering, v. 22, n. 3 (mars 2018).
https://doi.org/10.1007/s12205-018-1398-3
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Lee, Se Hyeok / Song, Junho (2016): Probabilistic system identification of spatial distribution of structural parameter using Bayesian network. Présenté pendant: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016.
https://doi.org/10.2749/stockholm.2016.0408
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Kim, Hyun-Joong / Koh, Hyun-Moo / Song, Junho / Park, Wonsuk (2015): Probabilistic Assessment of Structural Condition Incorporating Uncertainty of Measured Data through Multi-model Identification. Présenté pendant: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015.
https://doi.org/10.2749/222137815818358718