Mobile QR Code QR CODE
Export citation EndNote

References

1 
2014, Seismic Evaluation and Retrofit of Existing Buildings (ASCE/SEI 41-13)ASCE, , American Society of Civil Engineers/Structural Engineering Institute, Reston, VAGoogle Search
2 
Chen X., Duan Y., Houthooft R., Schulman J., Abbeel P., Sutskever I., 2016, InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets, In Advances in Neural Information Processing Systems, pp. 2180Google Search
3 
Elwood K. J., Moehle J. P., 2008, Dynamic Collapse Analysis for a Reinforced Concrete Frame Sustaining Shear and Axial Failures, Earthquake Engineering & Structural Dynamics, Vol. 37, No. 7, pp. 991-1012DOI
4 
2000, Prestandard and Commentary for the Seismic Rehabilitation of Buildings (FEMA 356)FEMA, , Federal Emergency Management Agency (FEMA), Washington, D.C.Google Search
5 
2005, Improvement of Nonlinear Static Seismic Analysis Procedures (FEMA 440)FEMA, , Federal Emergency Management Agency (FEMA), Washington, D.C.Google Search
6 
Gai T., Yu D., Zeng S., Yang S., Lin J. C., 2025, Attention-Based Generative Adversarial Network Model for RC Column Backbone Curve Identification, IEEE Transactions on Industrial Informatics, Vol. 21, No. 1, pp. 455-464DOI
7 
Ghannoum W., Sivaramakrishnan B., Pujol S., Catlin A. C., Fernando S., Yoosuf N., Wang Y., 2012, ACI 369 Rectangular Column Database, Network for Earthquake Engineering Simulation (Database), Dataset. (DOI omitted)Google Search
8 
Goodfellow I., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., Courville A., Bengio Y., 2014, Generative Adversarial Networks, Communications of the ACM, Vol. 63, No. 11, pp. 139-144Google Search
9 
Ju B. S., Kwag S., Lee S., 2023, On Successive Machine Learning Process for Predicting Strength and Displacement of Rectangular Reinforced Concrete Columns Subjected to Cyclic Loading, Computers and Concrete, Vol. 32, No. 5, pp. 513-525DOI
10 
Kingma D. P., Welling M., 2013, Auto-Encoding Variational Bayes, arXiv e-printsGoogle Search
11 
Larsen A. B. L., Sønderby S. K., Larochelle H., Winther O., 2015, Autoencoding Beyond Pixels Using a Learned Similarity Metric, arXiv e-printsGoogle Search
12 
Li Z., Peng X., Cui W., Xu Y., Liu J., Yuan H., Lai C. S., Lai L. L., 2024, A Novel Scenario Generation Method of Renewable Energy Using Improved VAEGAN with Controllable Interpretable Features, Applied Energy, Vol. 363, pp. 122905DOI
13 
Luo H., Paal S. G., 2018, Machine Learning-Based Backbone Curve Model of Reinforced Concrete Columns Subjected to Cyclic Loading Reversals, Journal of Computing in Civil Engineering, Vol. 32, No. 5, pp. 04018042DOI
14 
Ma C., Chi J., Kong F., Zhou S., Lu D., Liao W., 2024, Prediction on the Seismic Performance Limits of Reinforced Concrete Columns Based on Machine Learning Method, Soil Dynamics and Earthquake Engineering, Vol. 177, pp. 108423DOI
15 
Megalooikonomou K. G., Beligiannis G. N., 2023, Random Forests Machine Learning Applied to PEER Structural Performance Experimental Columns Database, Applied Sciences, Vol. 13, No. 23, pp. 12821DOI
16 
Miyato T., Kataoka T., Koyama M., Yoshida Y., 2018, Spectral Normalization for Generative Adversarial Networks, arXiv e-printsGoogle Search
17 
Park J., Woo J., Kim B., Lee J., 2010, Plastic Hinge Length of Reinforced Concrete Columns with Low Height-to-Width Ratio, Journal of the Korea Concrete Institute, Vol. 22, No. 5, pp. 675-684, (In Korean)DOI
18 
Paulay T., Priestley M. J. N., 1992, Seismic Design of Reinforced Concrete and Masonry Buildings, Wiley, New YorkGoogle Search
19 
Priestley M. J. N., Verma R., Xiao Y., 1994, Seismic Shear Strength of Reinforced Concrete Columns, Journal of Structural Engineering, Vol. 120, No. 8, pp. 2310-2329DOI
20 
Reed S., Akata Z., Yan X., Logeswaran L., Schiele B., Lee H., 2016, Generative Adversarial Text to Image Synthesis, arXiv e-printsGoogle Search
21 
Saatcioglu M., Razvi S. R., 1992, Strength and Ductility of Confined Concrete, Journal of Structural Engineering, Vol. 118, No. 6, pp. 1590-1607DOI
22 
Sezen H., Moehle J. P., 2006, Seismic Tests of Concrete Columns with Light Transverse Reinforcement, ACI Structural Journal, Vol. 103, No. 6, pp. 842DOI
23 
Spearman C., 1904, The Proof and Measurement of Association between Two Things, The American Journal of Psychology, Vol. 15, No. 1, pp. 72-101DOI
24 
Teramoto A., Tsukamoto T., Yamada A., Kiriyama Y., Imaizumi K., Saito K., Fujita H., 2020, Deep Learning Approach to Classification of Lung Cytological Images: Two-Step Training Using Actual and Synthesized Images by Progressive Growing of Generative Adversarial Networks, PLOS ONE, Vol. 15, No. 3, pp. e0229951DOI
25 
Tibshirani R., 1996, Regression Shrinkage and Selection via the Lasso, Journal of the Royal Statistical Society Series B: Statistical Methodology, Vol. 58, No. 1, pp. 267-288DOI
26 
Trejo D., Link T. B., Barbosa A. R., 2016, Effect of Reinforcement Grade and Ratio on Seismic Performance of Reinforced Concrete Columns, ACI Structural Journal, Vol. 113, No. 5, pp. 907-918DOI
27 
Vuran E., Serhatoğlu C., Timurağaoğlu C., Smyrou M. Ö., Bal İ. E., Livaoğlu R., 2025, Damage Observations of RC Buildings from 2023 Kahramanmaraş Earthquake Sequence and Discussion on the Seismic Code Regulations, Bulletin of Earthquake Engineering, Vol. 23, No. 3, pp. 1153-1182DOI