Open Access
| Issue |
MATEC Web Conf.
Volume 103, 2017
International Symposium on Civil and Environmental Engineering 2016 (ISCEE 2016)
|
|
|---|---|---|
| Article Number | 02023 | |
| Number of page(s) | 9 | |
| Section | Structure, Solid Mechanics and Computational Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201710302023 | |
| Published online | 05 April 2017 | |
- A. Adnan, T. L. Y. Patrick, R. Ismail, S.M. Shamsuddin, Artificial neural network application for predicting seismic damage index of buildings in Malaysia, Electronic J. of Structural Engineering, 12(1), 1–9, (2012) [Google Scholar]
- M. Mardiyono, R. Suryanita, A. Adnan, Intelligent monitoring system on prediction of building damage index using neural network, TELKOMNIKA Indonesian J. of Electrical Engineering, 10(1), 155–164, (2012) [CrossRef] [Google Scholar]
- A. Adnan, H. Hendriyawan and M. Irsyam, The effect of the Latest Sumatra earthquake to Malaysian peninsular, J. Kejuruteraan Awam, 14(2), 12–25, (2002) [Google Scholar]
- T. Balendra and Z. Li, Seismic hazard in Singapore and Malaysia, Seismic hazard of Singapore and Malaysia, Electronic J. Structural Engineering, Special Issue (Earthquake engineering in the low and moderate seismic regions of Southeast Asia and Australia), 8, 57–63, (2008) [Google Scholar]
- M. F. Jamaludin, Performance of low rise building due to earthquake, Bachelor Degree Thesis, Universiti Teknologi MARA, Shah Alam, Malysia, (2011) [Google Scholar]
- M. Hassim, Analysis of medium rise building due to earthquake, Bachelor Degree Thesis, Universiti Teknologi MARA, Shah Alam, Malysia, (2011) [Google Scholar]
- C.A. Brebbia and D. Nardini, Dynamic analysis in solid mechanics by an alternative boundary element procedure, Int. J. of Soil Dynamics and Earthquake Engineering 2(4), 228–33 (1983) [CrossRef] [Google Scholar]
- A.K. Chopra, and R.K. Goel, Capacity-demand-diagram methods for estimating seismic deformation of inelastic structures: SDF systems, Rep. No. PEER-1999/02, Pacific Earthquake (1999) [Google Scholar]
- M.S.H. Shamsudin, Performance of low rise concrete building under earthquake loadings, Bachelor Degree Thesis, Universiti Teknologi MARA, Shah Alam, Malysia (2010) [Google Scholar]
- R. Ismail, I. Azmi and A. Adnan, Application of artificial neural network in damage predeiction of buildings based on seismic zonation in Malaysia, Proc. of the 27th Conference of Asean Federation of Engineering Organisations (Cafeo 27), Suntec City Convention Centre, Singapore, (2011). [Google Scholar]
- R. Ismail, I. Azmi and A. Adnan, Seismic damage analysis of reinforced concrete frame of public buildings in Ipoh subjected to Acheh Earthquake event, Proc. of The Int. Civil and Infrastructure Engineering Conf., Springer Singapore, 149–157 (2015) [Google Scholar]
- R. Ismail, The application of ANN in seismic evaluation of buildings, Master Thesis, Universiti Teknologi Malaysia, Shah Alam, Malysia, (2008) [Google Scholar]
- R. Ismail, I. Azmi and A. Adnan, Vulnerability of high-rise buildings in Kuala Lumpur subjected to Acheh earthquake event, Proc. of the Int. Civil and Infrastructure Engineering Conference, Springer Singapore, 139–148 (2015) [Google Scholar]
- Y.J. Park, and A.M. Reinhorn, and S.K. Kunnath, IDARC: Inelastic damage analysis of reinforced concrete frame shear wall structures, Technical Report: National Center for Earthquake Engineering Research, (1990) [Google Scholar]
- Anaxagoras Elenas, Intensity parameters as damage potential descriptors of earthquakes, III ECCOMAS Thematic Conf. on Computational Methods in Structural Dynamics and Earthquake Engineering, Corfu, Greece, (2011) [Google Scholar]
- R. Rajabi, M. Barghi, and R. Rajabi, Investigation of Park-Ang damage index model for flexural behavior of reinforced concrete columns, Structural Design of Tall & Special Buildings, 22(17), pp. 1350–1358 (2013) [CrossRef] [Google Scholar]
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