Hybrid modelling framework by using mathematics-based and information-based methods
暂无分享,去创建一个
[1] Y. Hashash,et al. Role of corneal biomechanical properties in applanation tonometry measurements. , 2010, Journal of refractive surgery.
[2] Jun Hee Kim. Hybrid mathematical and informational modeling of beam-to-column connections , 2010 .
[3] Y. Hashash,et al. Novel Approach to Integration of Numerical Modeling and Field Observations for Deep Excavations , 2006 .
[4] Jamshid Ghaboussi,et al. Advances in Neural Networks in Computational Mechanics and Engineering , 2010 .
[5] Youssef M A Hashash,et al. A novel framework integrating downhole array data and site response analysis to extract dynamic soil behavior , 2008 .
[6] John C. Brigham,et al. Self-learning finite elements for inverse estimation of thermal constitutive models , 2006 .
[7] Jamshid Ghaboussi,et al. Autoprogressive training of neural network constitutive models , 1998 .
[8] A. Elnashai,et al. Self-learning simulation method for inverse nonlinear modeling of cyclic behavior of connections , 2008 .
[9] Youssef M A Hashash,et al. Accurate intraocular pressure prediction from applanation response data using genetic algorithm and neural networks. , 2009, Journal of biomechanics.
[10] James H. Garrett,et al. Knowledge-Based Modeling of Material Behavior with Neural Networks , 1992 .
[11] Jiangang Shen,et al. HYSTERETIC BEHAVIOR OF BOLTED – ANGLE CONNECTIONS , 1999 .
[12] Jamshid Ghaboussi,et al. Field calibration of time-dependent behavior in segmental bridges using self-learning simulation , 2007 .
[13] Jamshid Ghaboussi,et al. Constitutive modeling of geomaterials from non-uniform material tests , 1998 .
[14] H Krawinkler,et al. SHEAR IN BEAM - COLUMN JOINTS IN SEISMIC DESIGN OF STEEL FRAMES , 1978 .
[15] G. N. Pande,et al. On self-learning finite element codes based on monitored response of structures , 2000 .
[16] Amr S. Elnashai,et al. Development of Neural Network Based Hysteretic Models for Steel Beam-Column Connections Through Self-Learning Simulation , 2007 .
[17] J. Ghaboussi,et al. Extracting inelastic metal behaviour through inverse analysis: a shift in focus from material models to material behaviour , 2009 .
[18] Jamshid Ghaboussi,et al. New nested adaptive neural networks (NANN) for constitutive modeling , 1998 .
[19] Chi-Chin Tsai,et al. Learning of Dynamic Soil Behavior from Downhole Arrays , 2009 .
[20] G. N. Pande,et al. Identification of elastic constants for orthotropic materials from a structural test , 2003 .
[21] Youssef M A Hashash,et al. Systematic update of a deep excavation model using field performance data , 2003 .
[22] Youssef M. A. Hashash,et al. Inverse analysis-based interpretation of sand behavior from triaxial compression tests subjected to full end restraint. , 2009 .
[23] A. Abolmaali,et al. MOMENT-ROTATION HYSTERESIS BEHAVIOR OF TOP AND SEAT ANGLE STEEL FRAME CONNECTIONS , 1999 .
[24] Jamshid Ghaboussi,et al. Neural network constitutive model for rate-dependent materials , 2006 .
[25] T H Kwon,et al. Effect of cornea material stiffness on measured intraocular pressure. , 2008, Journal of biomechanics.
[26] Youssef M A Hashash,et al. Integration of laboratory testing and constitutive modeling of soils , 2007 .
[27] Jiangang Shen,et al. Hysteresis model of bolted-angle connections , 2000 .