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Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
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  3. 2026-02 (Vol.30 No.1)
  4. 10.11112/jksmi.2026.30.1.113
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References

1 
Abouhalima, A. H., Khajehzadeh, M., Kim, T., Lee, W.-D. (2024), Machine Learning in Coastal Engineering: Applications, Challenges, and Perspectives, Journal of Marine Science and Engineering, 12(4), 638DOI
2 
Aung, P. P. W., Sam, K. M., Kulinan, A. S., Cha, G., Park, M., Park, S. (2025), Enhancing deep learning in structural damage identification with 3D-engine synthetic data, Automation in Construction, 175, 106203DOI
3 
Briffoteaux, G., Gobert, J., Picheny, V., Sebag, M. (2020), Parallel Surrogate-Assisted Optimization: Batched Bayesian Neural Network-Assisted Genetic Algorithm versus q-EGO, Swarm and Evolutionary Computation, 57, 100717Google Search
4 
Burcharth, H. F., Andersen, O. H., Lara, J. L. (2006), Structural Stability of Detached Low-Crested Breakwaters, Coastal Engineering, 53(4), 381-394.DOI
5 
Choi, S.-W. (2018), Estimation of Rotational Stiffness of Connections in Steel Moment Frames by using Artificial Neural Network, Journal of the Korea Institute for Structural Maintenance and Inspection, 22(1), 107-114.Google Search
6 
Elchahal, G., Younes, R., Lafon, P. (2013), Optimization of coastal structures: Application on detached breakwaters in ports, Ocean Engineering, 63, 35-43.DOI
7 
Formentin, S. M., Zanuttigh, B., van der Meer, J. W. (2017), A Neural Network Tool for Predicting Wave Reflection, Overtopping and Transmission, Coastal Engineering Journal, 59(1), 1750006DOI
8 
Gomes, M. W. F., Pereira, H. P. F., Costa, J. S. (2020), Ensemble Machine Learning Models to Predict Wave Overtopping Discharges at Coastal Structures, Journal of Marine Science and Engineering, 8(3), 226Google Search
9 
He, X., Tan, Y., Wang, X., Jin, Y. (2023), A Review of Surrogate-Assisted Evolutionary Algorithms for Expensive Optimization Problems, Expert Systems with Applications, 217, 119495DOI
10 
Helton, J.C., Davis, F.J. (2003), Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems, Reliability Engineering & System Safety, 81, 23-69.DOI
11 
Higuera, P., Lara, J. L., Losada, I. J. (2013), Simulating Coastal Engineering Processes with OpenFOAM®, Coastal Engineering, 71, 119-134.DOI
12 
Higuera, P., Lara, J. L., Losada, I. J. (2013), Realistic Wave Generation and Active Wave Absorption for Navier-Stokes Models: Application to OpenFOAM®, Coastal Engineering, 71, 102-118.Google Search
13 
Hutt, J. A., Black, K. P., Mead, S. T. (2001), Classification of Surf Breaks in Relation to Surfing Skill, Journal of Coastal Research(Special Issue (29)), 66-81.Google Search
14 
Jin, Y. (2011), Surrogate-Assisted Evolutionary Computation: Recent Advances and Future Challenges, Swarm and Evolutionary Computation, 1(2), 61-70.DOI
15 
Johnson, H.K., Karunarathna, H., Reeve, D.E. (2006), Wave transmission and breaking over submerged breakwaters, Coastal Engineering, 53(1), 39-48.Google Search
16 
Kim, C., Chun, I., Oh, B. (2021), Estimation of Overtopping Discharges with Deep Neural Network (DNN) Method, Journal of Coastal Disaster Prevention, 8(4), 229-236.DOI
17 
Kim, T., Lee, W.-D. (2022), Review on Applications of Machine Learning in Coastal and Ocean Engineering, Journal of Ocean Engineering and Technology, 36(3), 194-210.DOI
18 
Kim, T., Lee, W.-D. (2023), Prediction of wave overtopping discharges at coastal structures using interpretable machine learning algorithms, Coastal Engineering Journal, 65(3), 433-449.Google Search
19 
Olsson, A. M., Sandberg, G. E., Dahlblom, O. (2003), On Latin Hypercube Sampling for Structural Reliability Analysis, Structural Safety, 25(1), 47-68.DOI
20 
Park, J., Chang, M. (2025), Estimation of Time History of Elastic Modulus based on Finite Element Model Updating for Optimal Bridge Maintenance, Journal of the Korea Institute for Structural Maintenance and Inspection, 29(6), 21-29.Google Search
21 
Regis, R. G., Shoemaker, C. A. (2013), Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization, Engineering Optimization, 45(5), 529-555.DOI
22 
Román, C., Zúñiga-Antón, M., Azcárate, J., Alonso, I. (2022), Surfing the Waves: Environmental and Socio-Economic Aspects of Surf Tourism and Recreation, Science of the Total Environment, 826, 154122DOI
23 
Scarfe, B. E., Healy, T. R., Rennie, H. G. (2009), Research-Based Surfing Literature for Coastal Management and the Science of Surfing: A Review, Journal of Coastal Research, 25(3), 539-557.DOI
24 
Seabrook, S.R., Hall, K.R. (1998), Wave transmission at submerged rubblemound breakwaters, 2000-2013.Google Search
25 
Starodubcev, N. O., Nikitin, N. O., Kalyuzhnaya, A. V. (2022), Surrogate-Assisted Evolutionary Generative Design of Breakwaters Using Deep Convolutional Networks, 1-8.Google Search
26 
van Gent, M. R. A., van den Boogaard, H. F. P., Pozueta, B., Medina, J. R. (2007), Neural Network Modelling of Wave Overtopping at Coastal Structures, Coastal Engineering, 54(8), 586-593.DOI
27 
Vieira da Silva, J. V., Hamilton, D. G., Strauss, D., Murray, A. B., Tomlinson, R. (2022), Sediment Pathways and Morphodynamic Response to a Multi-Purpose Artificial Reef – New Insights, Coastal Engineering, 171, 104027DOI
28 
Vivier, B., Réveillac, E., David, G., Haroun, R. (2021), Marine Artificial Reefs, a Meta-Analysis of Their Design, Situations and Efficiencies, Global Ecology and Conservation, 27, e01538Google Search