EARTHQUAKE FORCE ANALYSIS FOR REINFORCEMENT RESIDENTIAL BUILDINGS WITH DATA MINING
Abstract
Keywords
Data mining , Machine learning , Earthquake , Earthquake code , Reinforced concrete
References
- Azimi, S., Azhdary Moghaddam, M., & Hashemi Monfared, S. A. (2018). Anomaly Detection and Reliability Analysis of Groundwater by Crude Monte Carlo and Importance Sampling Approaches. Water Resources Management, 32(14), 4447–4467. https://doi.org/10.1007/s11269-018-2029-y
- Cetinkaya, I. H. (2021). World saw 13,654 quakes of magnitude 4 or above in 2020.
- Chen, T., & Guestrin, C. (2016). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–794. https://doi.org/10.1145/2939672.2939785
- Contreras, D., Wilkinson, S., & James, P. (2021). Earthquake Reconnaissance Data Sources, a Literature Review. Earth, 2(4), 1006–1037. https://doi.org/10.3390/earth2040060
- Falcone, R., Lima, C., & Martinelli, E. (2020). Soft computing techniques in structural and earthquake engineering: a literature review. Engineering Structures, 207(Kasım 2019), 110269. https://doi.org/10.1016/j.engstruct.2020.110269
- Gazete, R. (2021). Planlı Alanlar İmar Yönetmeliği.
- Geiß, C., & Taubenböck, H. (2013). Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap. Natural Hazards, 68(1), 7–48. https://doi.org/10.1007/s11069-012-0322-2
- Goswami, S., Chakraborty, S., Ghosh, S., Chakrabarti, A., & Chakraborty, B. (2018). A review on application of data mining techniques to combat natural disasters. Ain Shams Engineering Journal, 9(3), 365–378. https://doi.org/10.1016/j.asej.2016.01.012
- Kahandawa, K. A. R. V. D., Domingo, N. D., Park, K. S., & Uma, S. R. (2018). Earthquake damage estimation systems: Literature review. Procedia Engineering, 212, 622–628. https://doi.org/10.1016/j.proeng.2018.01.080
- Karaçay, T. (t.y.-a). TBDY 2018 - Deprem Kuvveti (Konut Binaları). (2022, 14 Şubat), Erişim adresi: https://www.kaggle.com/tarkankaraay/tbdy-2018-deprem-kuvveti-konut-binalari?select=Veri_Seti_1.xlsx