Using the Piano Keys Sound as Artificial Accelerations

Document Type: Original Article


1 Assistant Professor, Department of Civil Engineering, Golestan Institute of Higher Education, Gorgan, Iran

2 Ph.D. Candidate, Department of Civil Engineering, Islamic Azad University of Kish International Branch, Kish, Iran

3 M.Sc., Department of Civil Engineering, Golestan Institute of Higher Education, Gorgan, Iran


Today, one of the most important issues in designing of structures is their reliability and functional design. In order to obtain reliability, different parameters of the earthquake history are considered as probabilistic and that their effects on the reliability of the structures. In fact, it is necessary to consider all possible scenarios in the earthquake event in the probability of failure of the structure, which is recorded using natural ground motions. In response to this engineering requirements, the use of simulated artificial earthquake records is one alternative. Therefore the most important point in using artificial records is to use a model that can more effectively capture the effective parameters in earthquake production. In this case, by obtaining uncertainties regarding the efficient parameters in that model, it is possible to produce an accidental earthquake production. In this study, the use of piano keys was applied as an artificial record. To achieve this goal, 6 pieces of a piano-sounded that has an initial landing, up and then secondary landing are selected. To compare the results, the 6 ground motion records of near field  with pulse effect and 6 ground motion records of far field for  soil type II was extracted from the PEER site . In order to compare the records, the response spectrum and their correlation were used. The results showed that the correlation between the selected artificial records for the far field of faults is more than near field.


[1]-Cyril, E., 1990, The Piano: A History, USA: Oxford University Press.

[2]-Suzuki, S., Hada, K., Asano, K., 1998, Simulation of strong ground motions based on recorded accelerograms and the Stochastic method, Soil Dynamics and Earthquake Engineering, 17, 7-8, 551-556.

[3]-Sokolov, V. Y., 2000, Site & region-specific, response spectra: A probabilistic approach, Soil Dynamics and Earthquake Engineering, 20, 273-281.

[4]-Rofooei, F. R., Aghababaii Mobarake, A., and Ahmadi, G., 2001, Generation of artificial earthquake records with a no stationary Kanai-Tajimi model, Engineering Structures, 23, 7, 827-837.

[5]-Rahami, H., 2000, Generation of artificial accelerator by using artificial neural networks, M.Sc. Thesis, Department of Civil Engineering Faculty of Engineering, Tehran University, Iran.

[6]-Lin, C. J., and Ghaboussi, J., 2000, Recent progress on neural network based methodology for generating artificial earthquake accelerograms, 12th World Conference on Earthquake Engineering; Auckland, New Zeland, No.0497.

[7]-Lee, S. C., Han, and S. W., 2002, Neural-network-based models for generating artificial earthquakes and response spectra, Computers and Structures, 80, 20-21, 1627-1638.

[8]-Tehranizadeh, M., Safi, M., 2004, Application of artificial intelligence for construction of design spectra, Engineering Structures, 26, 6, 707-720.

[9]-Fadavi Amiri, M., Akbari, A., Ghodrati Amiri, G., 2008, New method for generation of artificial earthquake record, The 14th World Conference on Earthquake Engineering, Beijing, China, 12-17.

[10]-Ghodrati Amiri, G., Asadi, A., 2009, Comparison off different methods of wavelet and wavelet packet transform in processing ground motion records, International Journal of Civil Engineering, 7, 4, 248-257.

[11]-Tsompanakis, Y., etal, 2009, Simulating the seismic response of embankments via artificial neural networks, Advances in Engineering Software, 40, 8, 640-651.

[12]-Mukherjee, S., Gupta, V.K.,2002, Wavelet-based generation of spectrum-compatible time-histories, Soil Dynamics and Earthquake Engineering, 22, 9-12, 799-804.

[13]-Suarez Luis E.,Montejo Luis, A., 2005, Generation of artificial earthquakes via the wavelet transform, International Journal of Solids and Structures, 42, 5905-5919.

[14]-Giaralis, A., Spanos, P.D., 2009, Wavelet-based response spectrum compatible synthesis of Accelerograms Eurocode application (EC8), Soil Dynamics and Earthquake Engineering, 29, 1, 2019-235.

[15]-Iyama, J., Kuwamura, H., 1999,Application of wavelets to analysis and simulation of earthquake motions, Earthquake Engineering and Structural Dynamics, 28, 255-272.

[16]-Bargi, Kh., Lucas, C., Rahami, H.,2002, Generation of artificial accelerograms using neural networks for data of Iran, Journal of Faculty of Engineering, University of Tehran, 36, 2, 177-184.

[17]-Ghodrati Amiri, G., Ashtari, P., Rahami, H., 2006, New development of artificial record generation by wavelet theory, Structural Engineering and Mechanics, 22, 2, 185-195.

[18]-Pacific Earthquake Engineering Research Center (PEER), NGA Database 2019, https://