Engineering Seismology
- Institution:
- University of Patras, Greece
- Specialisation:
- ES
- Term:
- Spring 2011
- Teacher(s):
- PAPAGEORGIOU APOSTOLOS S.
- Credits:
- 8
- Date (from - to):
- 21/02/2010 – 30/06/2010
Topics to be covered include:
-
Earthquakes and Plate Tectonics;
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Seismometry;
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Seismic Waves – Overview;
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Seismic Source (Important Source Parameters; Source Spectrum; Scaling Laws);
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Path and Site Effects – Overview;
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Prediction and Simulation of Strong Ground Motion (Empirical Approaches; Mathematical Modeling Techniques);
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Seismic Hazard Analysis;
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Relevance to Building Codes.
The presentation of the topics is tailored to the needs of earthquake engineers.
Suggested readings:
Seismology:
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Bolt, B.A. (1999), Earthquakes (Fourth Edition), Freeman.
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Aki, K. and P.G. Richards (1980), Quantitative Seismology: Theory and Methods, W.H. Freeman and Co., San Francisco, CA.
-
Udias, A. (1999), Principles of Seismology, Cambridge University Press.
-
Pujol, J. (2003), Elastic Wave Propagation and Generation in Seismology, Cambridge University Press.
-
Stein, S. and M. Wysession (2003), An Introduction to Seismology, Earthquakes and Earth Structure, Blackwell Publishing.
Elastic Wave Propagation - Elastodynamics:
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Achenbach, J.D. (1975), Wave Propagation in Elastic Solids, North-Holland / American Elsevier.
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Graff, K.F. (1975), Wave Motion in Elastic Solids, Ohio State University Press.
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Kausel, E. (2006), Fundamental Solutions in Elastodynamics: A Compendium, Cambridge University Press.
Earthquake Engineering:
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Kramer, S.L. (1996), Geotechnical Earthquake Engineering, Prentice Hall.
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Chopra, A.K. (2007), Dynamics of Structures: Theory and Applications to Earthquake Engineering, Prentice Hall (Third Edition).
Notes:
Prerequisites
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Elements of Continuum Mechanics
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Elements of Methods of Applied Mathematics (e.g. Fourier Theory; Ordinary and Partial Differential Equations)
Teaching and learning methods
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Lectures are given using PPP (=Power Point Presentation) and are supplemented with handouts.
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Certain homework problems require programming using MATLAB.
Assessment and grading methods
-
Grading is based on:
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3 to 4 homework assignments (40%);
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Presentation of a term project on a topic jointly selected by the student(s) and the instructor (60%).