參考文獻 |
[1] ACT-40, Seismic evaluation and retrofit of concrete buildings. Report No. SSC 96-01, Applied Technology Council, 1996.
[2] FEMA 273, NEHRP Guidelines for the seismic rehabilitation of buildings, Federal Emergency Management Agency, Washington, D.C., 1997.
[3] 鍾立來、葉勇凱、簡文郁、柴駿甫、蕭輔沛、沈文成、邱聰智、周德光、趙宜峰、楊耀昇、 黃世建,(2008),「校舍結構耐震評估與補強技術手冊」,國家地震工程研究中心報告, NCREE-08-023,台北。
[4] Vision, S. E. A. O. C. (1995). Performance based seismic engineering of buildings. Structural Engineers Association of California, Sacramento, Calif.
[5] FEMA 356, F. E. (2000). Prestandard and commentary for the seismic rehabilitation of buildings. Federal Emergency Management Agency, Washington, DC.
[6] Porter, K. A. (2003, July). An overview of PEER’s performance-based earthquake engineering methodology. In Proceedings of ninth international conference on applications of statistics and probability in civil engineering (pp. 1-8).
[7] Moehle, J., & Deierlein, G. G. (2004, August). A framework methodology for performance-based earthquake engineering. In 13th world conference on earthquake engineering (Vol. 679, p. 12). WCEE Vancouver.
[8] FEMA P-58. (2012). Federal Emergency Management Agency: Seismic Performance Assessment of Buildings.
[9] Vicente, R., Ferreira, T., & Maio, R. (2014). Seismic risk at the urban scale: assessment, mapping and planning. Procedia Economics and Finance, 18, 71-80.
[10] Pelà, L. (2018). New trends and challenges in large-scale and urban assessment of seismic risk in historical centres. International Journal of Architectural Heritage, 12(7-8), 1051-1054.
[11] Ahmed, S., Abarca, A., Perrone, D., & Monteiro, R. (2022). Large-scale seismic assessment of RC buildings through rapid visual screening. International Journal of Disaster Risk Reduction, 80, 103219.
[12] Elwood, K. J., & Moehle, J. P. (2005). Axial capacity model for shear-damaged columns. ACI Structural Journal, 102(4), 578.
[13] Rayjada, S. P., Raghunandan, M., & Ghosh, J. (2023). Machine learning-based RC beam-column model parameter estimation and uncertainty quantification for seismic fragility assessment. Engineering Structures, 278, 115111.
[14] 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, 32(5), 04018042.
[15] Huang, C., Li, Y., Gu, Q., & Liu, J. (2022). Machine learning–based hysteretic lateral force-displacement models of reinforced concrete columns. Journal of Structural Engineering, 148(3), 04021291.
[16] Feng, D. C., Cetiner, B., Azadi Kakavand, M. R., & Taciroglu, E. (2021). Data-driven approach to predict the plastic hinge length of reinforced concrete columns and its application. Journal of Structural Engineering, 147(2), 04020332.
[17] Berry, M., Parrish, M., & Eberhard, M. (2004). PEER structural performance database user’s manual (version 1.0). University of California, Berkeley.
[18] 陳瑩瑄. (2012). 鋼筋混凝土柱受撓曲變形參數之研究.
[19] 游雅喬(2012).鋼筋混凝土柱之極限破壞研究.
[20] 黃冠傑. (2013). 鋼筋混凝土柱耐震圍束之研究.
[21] 王禹琁(2013)。RC柱性能曲線分析模型之驗證與改進。
[22] 吳秉誠(2017).典型鋼筋混凝土柱構件震後性能研究.
[23] Fei, Y., X. Lu. (2020) "RC column backbone curve dataset."
[24] 張宗豪. (2021). 高軸力下高強度鋼筋混凝土柱撓曲主控之側力位移曲線.
[25] Settles, B. (2009). Active learning literature survey.
[26] Xu, L., & Grierson, D. E. (1993). Computer-automated design of semirigid steel frameworks. Journal of Structural Engineering, 119(6), 1740-1760.
[27] Kavlie, D., & Moe, J. (1971). Automated design of frame structures. Journal of the Structural Division, 97(1), 33-62.
[28] Moharrami, H., & Grierson, D. E. (1993). Computer-automated design of reinforced concrete frameworks. Journal of Structural Engineering, 119(7), 2036-2058.
[29] Guan, X., Burton, H., & Sabol, T. (2020). Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames. Engineering Structures, 224, 111199.
[30] Ibarra L.F., Medina R. A., and Krawinkler H. (2005). “Hysteretic models that incorporate strength and stiffness deterioration”, Earthquake Engineering and Structural Dynamics, 34(12), 1489-1511.
[31] Karavasilis T.L., Ricles J.M., Sause R. (2009). "Implementation of deterioration elements in OpenSEES for collapse simulations" ATLSS Engineering Research Center, Rep. No. 09-11.
[32] Lignos, D.G., and Krawinkler, H. (2011). “Deterioration modeling of steel components in support of collapse prediction of steel moment frames under earthquake loading”, Journal of Structural Engineering, ASCE, Vol. 137 (11), 1291-1302.
[33] Lignos, D.G., Krawinkler, H. (2012). “Development and Utilization of Structural Component Databases for Performance-Based Earthquake Engineering", Journal of Structural Engineering, ASCE, doi: 10.1061/(ASCE)ST.1943-541X.0000646.
[34] Mazzoni, S., McKenna, F., Scott, M. H., & Fenves, G. L. (2006). OpenSees command language manual. Pacific Earthquake Engineering Research (PEER) Center, 264(1), 137-158.
[35] Ibarra, L. F. (2004). Global collapse of frame structures under seismic excitations. Stanford University.
[36] 中國土木水利工程學會 (2021),「混凝土工程設計規範與解說(土木401-110)」,台北。
[37] American Society of Civil Engineers. (2014, May). Seismic evaluation and retrofit of existing buildings. American Society of Civil Engineers.
[38] ACI Committee. (2005). Building code requirements for structural concrete (ACI 318-05) and commentary (ACI 318R-05). American Concrete Institute.
[39] Building Seismic Safety Council (US), & Applied Technology Council. (1997). NEHRP guidelines for the seismic rehabilitation of buildings (Vol. 1). Federal Emergency Management Agency.
[40] Ibarra, L. F. (2004). Global collapse of frame structures under seismic excitations. Stanford University.
[41] Sezen, H., & Moehle, J. P. (2004). Shear strength model for lightly reinforced concrete columns. Journal of structural engineering, 130(11), 1692-1703.
[42] American Society of Civil Engineering. (2007, May). Seismic rehabilitation of existing buildings. American Society of civil engineers.
[43] Cohn, D., Ghahramani, Z., & Jordan, M. (1996). Active learning with statistical models. Journal of Artificial Intelligence Research, 4, 129-145.
[44] Tong, S., & Koller, D. (2001). Support vector machine active learning with applications to text classification. Journal of machine learning research, 2(Nov), 45-66.
[45] Settles, B. (2009). Active learning literature survey.
[46] Nagelkerke, N. J. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78(3), 691-692.
[47] Freund, Y., & Schapire, R. E. (1995). A desicion-theoretic generalization of on-line learning and an application to boosting. In Computational Learning Theory: Second European Conference, EuroCOLT′95 Barcelona, Spain, March 13–15, 1995 Proceedings 2 (pp. 23-37). Springer Berlin Heidelberg.
[48] 曾至堅(2007)。低矮型校舍耐震能力詳細評估方法之研究。
[49] 黃世建,陳力平,陳俊宏(2003).含開口RC牆非韌性構架之耐震行為研究,報告編號:NCREE-03-010
[50] 陳奕信(2003)。含磚牆RC建築結構之耐震診斷。
[51] 鄒季峯(2017)。ETABS內建塑鉸之檢核,技師報。
[52] Mazzoni, S., McKenna, F., Scott, M. H., & Fenves, G. L. (2003). OpenSees Example Manual. PEER, Berkeley: University of California, 2003: 52.
[53] 內政部營建署(2022)。建築物耐震設計規範及解說,中華民國內政部營建署,台北,台灣。
[54] Dagang, L., Xiaohui, Y., Feng, P., & Guangyuan, W. (2010). Probabilistic seismic demand analysis of structures based on an improved cloud method. World Earthquake Engineering, 26(1), 7-15.
[55] PEER-TBI Task7 (2010) Modeling and acceptance criteria for seismic design and analysis of tall buildings. PEER Report No. 2010/111, University of California at Berkeley.
[56] ASCE 41-13 (2014) “Seismic rehabilitation of existing building.” American Society of Civil Engineers.
[57] Chen, P. Y., & Guan, X. (2023). A multi-source data-driven approach for evaluating the seismic response of non-ductile reinforced concrete moment frames. Engineering Structures, 278, 115452.
[58] Kircher, C., Deierlein, G., Hooper, J., Krawinkler, H., Mahin, S., Shing, B., & Wallace, J. (2010). Evaluation of the FEMA P-695 methodology for quantification of building seismic performance factors. |