Simulating the Seismic Response of Embankments using Soft Computing Techniques

[1]  Miguel P. Romo,et al.  Modeling ground motion in Mexico City using artificial neural networks , 2003 .

[2]  Keith Worden,et al.  Structural fault diagnosis and isolation using neural networks based on response-only data , 2003 .

[3]  Manolis Papadrakakis,et al.  Soft computing methodologies for structural optimization , 2003, Appl. Soft Comput..

[4]  Thomas J. Siller,et al.  An expert system approach to liquefaction analysis part 2: Evaluation , 1994 .

[5]  Mohammad Hassan Baziar,et al.  Evaluation of liquefaction potential using neural-networks and CPT results , 2003 .

[6]  S. Sarma,et al.  An evaluation of strong motion records and a new parameter A95 , 1987 .

[7]  G. Gazetas.  Seismic response of earth dams: some recent developments , 1987 .

[8]  A. Kallassy.  A new neural network for response estimation , 2003 .

[9]  Leonard Ziemiański,et al.  Hybrid neural network/finite element modelling of wave propagation in infinite domains , 2003 .

[10]  X. Fang,et al.  Structural damage detection using neural network with learning rate improvement , 2005 .

[11]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[12]  Jamshid Ghaboussi,et al.  Generating multiple spectrum compatible accelerograms using stochastic neural networks , 2001 .

[13]  Shih-Lin Hung,et al.  Detection of structural damage via free vibration responses generated by approximating artificial neural networks , 2003 .

[14]  Nikos D. Lagaros,et al.  Soft computing techniques in parameter identification and probabilistic seismic analysis of structures , 2008, Adv. Eng. Softw..

[15]  T. Kerh,et al.  Neural networks approach and microtremor measurements in estimating peak ground acceleration due to strong motion , 2002 .

[16]  Krystyna Kuźniar,et al.  Neural simulation of dynamic response of prefabricated buildings subjected to paraseismic excitations , 2003 .

[17]  José L. Zapico,et al.  Seismic damage identification in buildings using neural networks and modal data , 2008 .

[18]  Kwok-Wing Chau.  Reliability and performance-based design by artificial neural network , 2007, Adv. Eng. Softw..

[19]  Manolis Papadrakakis,et al.  Structural optimization using evolution strategies and neural networks , 1998 .

[20]  Vasantha Kalyani David,et al.  MicroARTMAP for pattern recognition problems , 2007, Adv. Eng. Softw..

[21]  Prodromos N. Psarropoulos,et al.  Effects of local site conditions on the seismic response of municipal solid waste landfills , 2007 .

[22]  Pedro G. Coelho,et al.  Structural reliability analysis using Monte Carlo simulation and neural networks , 2008, Adv. Eng. Softw..

[23]  N. Ricker.  The Form and Laws of Propagation of Seismic Wavelets , 1951 .

[24]  Martin A. Riedmiller,et al.  Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms , 1994 .

[25]  Kwok-wing Chau,et al.  Application of a PSO-based neural network in analysis of outcomes of construction claims , 2007 .

[26]  Michalis Fragiadakis,et al.  Fragility Assessment of Steel Frames Using Neural Networks , 2007 .

[27]  A. Goh.  Seismic liquefaction potential assessed by neural networks , 1994 .

[28]  H. Bolton Seed,et al.  Closure of "Simplified Procedure for Estimating Dam and Embankment Earthquake-Induced Deformations" , 1977 .

[29]  Mehmet Siraç Özerdem,et al.  Self-organized maps based neural networks for detection of possible earthquake precursory electric field patterns , 2006, Adv. Eng. Softw..

[30]  Nikos D. Lagaros.  Intelligent Computational Paradigms in Earthquake Engineering , 2007 .

[31]  Jun Wang,et al.  A neural network model for liquefaction-induced horizontal ground displacement , 1999 .

[32]  Georgios E. Stavroulakis,et al.  Design and robust optimal control of smart beams with application on vibrations suppression , 2005, Adv. Eng. Softw..

[33]  S. Kramer.  Geotechnical Earthquake Engineering , 1996 .

[34]  Sang Whan Han,et al.  Neural-network-based models for generating artificial earthquakes and response spectra , 2002 .

[35]  Tienfuan Kerh,et al.  Neural network estimation of ground peak acceleration at stations along Taiwan high-speed rail system , 2005, Eng. Appl. Artif. Intell..

[36]  Roberto Paolucci,et al.  Assessment of Seismic Site Effects in 2-D Alluvial Valleys Using Neural Networks , 2000 .

[37]  C. L. Wu,et al.  A flood forecasting neural network model with genetic algorithm , 2006 .

[38]  N. Newmark.  Effects of Earthquakes on Dams and Embankments , 1965 .