J. Ghaboussi

发表

Novel Approach to Integration of Numerical Modeling and Field Observations for Deep Excavations

Y. Hashash, C. Marulanda, J. Ghaboussi, 2006 .

Inverse analysis-based interpretation of sand behavior from triaxial compression tests subjected to full end restraint.

Youssef M. A. Hashash, Y. Hashash, P. Lade, 2009 .

Self-learning simulation method for inverse nonlinear modeling of cyclic behavior of connections

A. Elnashai, J. Ghaboussi, G. Yun, 2008 .

A fast contact detection algorithm for 3-D discrete element method

Dawei Zhao, Y. Hashash, J. Ghaboussi, 2004 .

Flow of compressible fluid in porous elastic media

E. Wilson, J. Ghaboussi, 1973 .

A New Genetic Algorithm Based Control Method Using State Space Reconstruction

J. Ghaboussi, 2014 .

Evolving structural design solutions using an implicit redundant Genetic Algorithm

J. Ghaboussi, A. Raich, 2000 .

Chapter 9 Applying the Implicit Redundant Representation Genetic Algorithm in an Unstructured Problem Domain

J. Ghaboussi, J. Ghaboussi, 2001 .

Snap‐Through and Bifurcation in a Simple Structure

T. J. Healey, D. A. Pecknold, D. Pecknold, 1985 .

Genetic algorithm in structural damage detection

Jamshid Ghaboussi, Jung-Huai Chou, J. Ghaboussi, 2001 .

Constitutive modeling of geomaterials from non-uniform material tests

Jamshid Ghaboussi, D. E. Sidarta, J. Ghaboussi, 1998 .

Active Control of Structures Using Neural Networks

Jamshid Ghaboussi, Abdolreza Joghataie, J. Ghaboussi, 1995 .

NONLINEAR STRUCTURAL CONTROL USING NEURAL NETWORKS

Khaldoon A. Bani-Hani, J. Ghaboussi, K. Bani-Hani, 1998 .

An information-based machine learning approach to elasticity imaging

M. Insana, J. Ghaboussi, Cameron Hoerig, 2017, Biomechanics and modeling in mechanobiology.

Physics-guided machine learning for 3-D quantitative quasi-static elasticity imaging

M. Insana, J. Ghaboussi, Cameron Hoerig, 2020, Physics in medicine and biology.

Frame design synthesis using implicit redundant genetic algorithm

J. Ghaboussi, A. Raich, 1999 .

NEURAL NETWORK MATERIAL MODELLING

J. Ghaboussi, G. Kaklauskas, Xiping Wu, 1999 .

GENETIC ALGORITHM-BASED MULTI-OBJECTIVE STRUCTURAL CONTROL WITH ACCELERATION FEEDBACK

J. Ghaboussi, Yoon-Jun Kim, 1999 .

Role of Initial Particle Arrangement in Ballast Mechanical Behavior

Erol Tutumluer, Youssef M A Hashash, Jamshid Ghaboussi, 2018 .

Triaxial testing of new and degraded ballast under dry and wet conditions

Y. Hashash, J. Ghaboussi, E. Tutumluer, 2022, Transportation Geotechnics.

DEVELOPMENT OF A SOFTWARE FRAMEWORK FOR MUST-SIM : AN INTEGRATED COMPUTATIONAL AND EXPERIMENTAL SIMULATION FACILITY

A. Elnashai, Y. Hashash, J. Ghaboussi, 2002 .

Role of corneal biomechanical properties in applanation tonometry measurements.

Y. Hashash, D. Pecknold, J. Ghaboussi, 2010, Journal of refractive surgery.

Y. Hashash, J. Ghaboussi, E. Tutumluer, 2017 .

Inverse identification of creep of concrete from in situ load–displacement monitoring

Jamshid Ghaboussi, Sungmoon Jung, J. Ghaboussi, 2010 .

Accurate intraocular pressure prediction from applanation response data using genetic algorithm and neural networks.

Youssef M A Hashash, Jamshid Ghaboussi, Tae-Hyun Kwon, 2009, Journal of biomechanics.

Characterizing rate-dependent material behaviors in self-learning simulation

Jamshid Ghaboussi, Sungmoon Jung, J. Ghaboussi, 2006 .

Neural network constitutive model for rate-dependent materials

Jamshid Ghaboussi, Sungmoon Jung, J. Ghaboussi, 2006 .

Unifying Principles for Sudden Transitions in All Systems

Jamshid Ghaboussi, J. Ghaboussi, 2012, CSER.

Experimental study of identification and control of structures using neural network. Part 1: identification

Stephen P. Schneider, Jamshid Ghaboussi, Khaldoon A. Bani-Hani, 1999 .

EXPERIMENTAL STUDY OF IDENTIFICATION AND CONTROL OF STRUCTURES USING NEURAL NETWORK PART 2: CONTROL

Stephen P. Schneider, Jamshid Ghaboussi, Khaldoon A. Bani-Hani, 1999 .

Incompatible Displacement Models

Edward L. Wilson, William P. Doherty, J. Ghaboussi, 1973 .

Generating multiple spectrum compatible accelerograms using stochastic neural networks

Jamshid Ghaboussi, Chu-Chieh J. Lin, J. Ghaboussi, 2001 .

A data-driven approach to characterizing nonlinear elastic behavior of soft materials.

M. Insana, J. Ghaboussi, Cameron Hoerig, 2022, Journal of the mechanical behavior of biomedical materials.

Three‐dimensional discrete element simulation for granular materials

Youssef M A Hashash, Jamshid Ghaboussi, Erfan G. Nezami, 2006 .

Shortest link method for contact detection in discrete element method

Youssef M A Hashash, Jamshid Ghaboussi, Erfan G. Nezami, 2006 .

Three-dimensional discrete element method for granular materials

Jamshid Ghaboussi, Ricardo E. Barbosa, J. Ghaboussi, 1990 .

A new neural network‐based model for hysteretic behavior of materials

Amr S. Elnashai, Jamshid Ghaboussi, Gun Jin Yun, 2008 .

Modeling of Hysteretic Behavior of Beam -Column Connections Based on Self -Learning Simulation

Amr S. Elnashai, Jamshid Ghaboussi, Gun Jin Yun, 2006 .

Knowledge-Based Modeling of Material Behavior with Neural Networks

James H. Garrett, Jamshid Ghaboussi, X. Wu, 1992 .

Numerical implementation of a neural network based material model in finite element analysis

Youssef M A Hashash, Jamshid Ghaboussi, Sungmoon Jung, 2004 .

Autoprogressive training of neural network constitutive models

Jamshid Ghaboussi, David A. Pecknold, Rami Haj-Ali, 1998 .

New nested adaptive neural networks (NANN) for constitutive modeling

Jamshid Ghaboussi, D. E. Sidarta, J. Ghaboussi, 1998 .

SIMULATED MICROMECHANICAL MODELS USING ARTIFICIAL NEURAL NETWORKS

George Z. Voyiadjis, Rami Haj-Ali, Rami Haj-Ali, 2001 .

Mechanical and informational modeling of steel beam-to-column connections

Amr S. Elnashai, Jamshid Ghaboussi, JunHee Kim, 2010 .

TUNNEL DESIGN CONSIDERATIONS: ANALYSIS OF MEDIUM-SUPPORT INTERACTION

R E Ranken, J Ghaboussi, J. Ghaboussi, 1974 .

Integration of laboratory testing and constitutive modeling of soils

Youssef M A Hashash, Jamshid Ghaboussi, Sungmoon Jung, 2007 .

Constitutive Soil Behavior Representation via Artificial Neural Networks: A Shift from Soil Models to Soil Behavior Data

Youssef M A Hashash, Jamshid Ghaboussi, Qingwei Fu, 2006 .

Systematic update of a deep excavation model using field performance data

Youssef M A Hashash, Jamshid Ghaboussi, Sungmoon Jung, 2003 .

Soft computing with neural networks for engineering applications: Fundamental issues and adaptive approaches

Jamshid Ghaboussi, Xiping Wu, J. Ghaboussi, 1998 .

Gravity-Actuator System for Control of Civil Structures

J. Ghaboussi, D. P. Tomasula, J. Ghaboussi, 1997 .

Actuator Dynamics and Delay Compensation Using Neurocontrollers

Jamshid Ghaboussi, Stanley L. Paul, Khashayar Nikzad, 1996 .

Application of Neural Networks to the Inspection of Railroad Rail

Jung—Huai Chou, Jamshid Ghaboussi, Robin Clark, 1999 .

Use of neural networks in detection of structural damage

James H. Garrett, Jamshid Ghaboussi, X. Wu, 1992 .

Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging pdf

Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana, 2018, ArXiv.

Estimation of Aeroelastic Parameters of Bridge Decks Using Neural Networks

Jamshid Ghaboussi, Sungmoon Jung, Soon-Duck Kwon, 2004 .

Discrete Element Modeling of Railroad Ballast Settlement

Erol Tutumluer, Youssef M A Hashash, Hai Huang, 2007 .

DISCRETE FINITE ELEMENT METHOD

J. Ghaboussi, R. Barbosa, R. Barbosa, 1992 .

Implicit Representation in Genetic Algorithms Using Redundancy

Jamshid Ghaboussi, Anne M. Raich, J. Ghaboussi, 1997, Evolutionary Computation.

Nondestructive Pavement Evaluation Using Finite Element Analysis Based Soft Computing Models

Erol Tutumluer, Onur Pekcan, Jamshid Ghaboussi, 2009 .

Architectural design of apartment buildings using the Implicit Redundant Representation Genetic Algorithm

Jamshid Ghaboussi, Hwayeon Song, Tae-Hyun Kwon, 2016 .

A novel predictor–corrector algorithm for sub‐structure pseudo‐dynamic testing

Youssef M A Hashash, Jamshid Ghaboussi, Gun Jin Yun, 2006 .

Generalized Differences in Direct Integration Methods for Transient Analysis

Jamshid Ghaboussi, J. Ghaboussi, 1987 .

Discrete finite element method for multiple deformable bodies

Jamshid Ghaboussi, Ricardo E. Barbosa, J. Ghaboussi, 1990 .

Finite element for rock joints and interfaces

Jamshid Ghaboussi, Edward L. Wilson, Jeremy Isenberg, 1973 .

Finite Element Simulation of Tunneling over Subways

Jamshid Ghaboussi, William H. Hansmire, Harvey W. Parker, 1983 .

Machine Learning in Model-free Mechanical Property Imaging: Novel Integration of Physics With the Constrained Optimization Process

M. Insana, J. Ghaboussi, Yiliang Wang, 2021, Frontiers in Physics.

Discrete element modelling of ballasted track deformation behaviour

Erol Tutumluer, Youssef M A Hashash, David D. Davis, 2013 .

Interaction between two parallel tunnels

Jamshid Ghaboussi, Randall E. Ranken, J. Ghaboussi, 1977 .

SOFTSYS for Backcalculation of Full-Depth Asphalt Pavement Layer Moduli

J. Ghaboussi, E. Tutumluer, O. Pekcan, 2009 .

Control of structures using neural networks

K Nikzad, Paolo Venini, Yi-Kwei Wan, 1995 .

Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method

Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana, 2019, IEEE Transactions on Medical Imaging.

A design‐variable‐based inelastic hysteretic model for beam–column connections

Amr S. Elnashai, Jamshid Ghaboussi, Gun Jin Yun, 2008 .

Characterizing Ballast Degradation through Los Angeles Abrasion Test and Image Analysis

Erol Tutumluer, Youssef M A Hashash, Jamshid Ghaboussi, 2014 .

Effects of Ballast Degradation on Permanent Deformation Behavior From Large-Scale Triaxial Tests

Erol Tutumluer, Youssef M A Hashash, Yu Qian, 2014 .

AREMA Gradations Affecting Ballast Performance Using Discrete Element Modeling (DEM) Approach

Erol Tutumluer, Jamshid Ghaboussi, J. Ghaboussi, 2009 .

Representation of material behavior: neural network-based models

X. Wu, James H. Garrett, J. Ghaboussi, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Effective Stress Analysis of Seismic Response and Liquefaction: Theory

Jamshid Ghaboussi, J. Ghaboussi, S. U. Dikmen, 1984 .

Simulation of front end loader bucket–soil interaction using discrete element method

Dawei Zhao, Youssef M A Hashash, Jamshid Ghaboussi, 2007 .

Large Scale Numerical Simulation via Parallelization and Reconfigurable Computing Hardware

Dawei Zhao, David Raila, Youssef M A Hashash, 2006 .

Advances in Neural Networks in Computational Mechanics and Engineering

Jamshid Ghaboussi, J. Ghaboussi, 2010 .

Stress-Strain Relations for Cracked Tensile Concrete from RC Beam Tests

Jamshid Ghaboussi, Gintaris Kaklauskas, J. Ghaboussi, 2001 .

An information-based machine learning approach to elasticity imaging

M. Insana, J. Ghaboussi, Cameron Hoerig, 2016, Biomechanics and Modeling in Mechanobiology.

Fully deformable discrete element analysis using a finite element approach

Jamshid Ghaboussi, J. Ghaboussi, 1988 .

Characterizing granular material constitutive behavior using selfSim with boundary load-displacement measurements

Youssef M A Hashash, Jamshid Ghaboussi, Sungmoon Jung, 2006 .

Biologically inspired soft computing methods in structural mechanics and engineering

Jamshid Ghaboussi, J. Ghaboussi, 2001 .

Extracting inelastic metal behaviour through inverse analysis: a shift in focus from material models to material behaviour

Y. Hashash, J. Ghaboussi, J. Ghaboussi, 2009 .

Field calibration of time-dependent behavior in segmental bridges using self-learning simulation

Jamshid Ghaboussi, Sungmoon Jung, Camilo Marulanda, 2007 .

Development of Neural Network Based Hysteretic Models for Steel Beam-Column Connections Through Self-Learning Simulation

Amr S. Elnashai, Jamshid Ghaboussi, Gun Jin Yun, 2007 .

Effect of cornea material stiffness on measured intraocular pressure.

Y. Hashash, D. Pecknold, J. Ghaboussi, 2008, Journal of biomechanics.