MODEL REDUCTION FOR LARGE-SCALE SYSTEMS WITH HIGH-DIMENSIONAL PARAMETRIC INPUT SPACE (2009)
T. Bui-thanh, K. Willcox, O. Ghattas
Abstract. A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a reduced...
T. Bui-thanh, K. Willcox, O. Ghattas
Methodology is presented to derive reduced-order models for large-scale parametric applications in unsteady aerodynamics. The specific case considered in this paper is a computational fluid dynamic...
Nomenclature A = Jacobian matrix (2009)
T. Bui-thanh, K. Willcox, O. Ghattas
We address the problem of propagating input uncertainties through a computational fluid dynamics model. Methods such as Monte Carlo simulation can require many thousands (or more) of computational...
O. Bashir, K. Willcox, O. Ghattas, J. Hill
model reduction for large-scale systems with initial-condition inputs
S. V. Shah, L. F. Kallivokas, B. Jaramaz, O. Ghattas
In this paper we discuss the application of the fictitious domain method to the numerical simulation of the mechanical processes induced by press-fitting cementless femoral implants in total hip...
An Optimization Framework for Goal-Oriented, Model-Based Reduction of Large-Scale Systems (2008)
K. Willcox, O. Ghattas, B. Bader
Abstract — Optimization-ready reduced-order models should target a particular output functional, span an applicable range of dynamic and parametric inputs, and respect the underlying governing...
Towards More Capable and Less Invasive Robotic Surgery in Orthopaedics (2008)
D. A. Simon, B. Jaramaz, O. Ghattas, M. K. Blackwell, L. Kallivokas, ...
Abstract. Current surgical robotic systems in orthopaedics lack realistic pre-operative simulations and utilize invasive methods to register bone intra-operatively. Amultidisciplinary group of...
Computational Mechanics Laboratory, G. Biros, O. Ghattas
this paper we propose a preconditioner for the KKT system based on a reduced space quasi-Newton algorithm. Battermann and Heinkenschloss [2] have suggested a preconditioner that is also motivated by...
MODEL REDUCTION FOR LARGE-SCALE SYSTEMS WITH HIGH-DIMENSIONAL PARAMETRIC INPUT SPACE (2007)
T. Bui-thanh, K. Willcox, O. Ghattas
Abstract. A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a reduced...
An Optimization Framework for Goal-Oriented, Model-Based Reduction of Large-Scale Systems (2005)
K. Willcox, O. Ghattas, B. Bader
Abstract — Optimization-ready reduced-order models should target a particular output functional, span an applicable range of dynamic and parametric inputs, and respect the underlying governing...
Y. Hisada, H. Bao, J. Bielak, O. Ghattas, D. R. O'hallaron
ABSTRACT: Long-period strong motions (> 0.9 second) are simulated in the Kobe area for the mainshock (1/17/95) and the aftershock (2/2/95) of the Hyogoken-Nanbu (Kobe) earthquake. In order to...
Optimal Design of Truss Structures by Logic-Based Branch and Cut (1996)
S. Bollapragada, O. Ghattas, J.N. Hooker
The truss design problem is to find the optimal placement and size of structural bars that can support a given load. The problem is nonlinear and, in the version addressed here, the bars must take...
Towards More Capable and Less Invasive Robotic Surgery in Orthopaedics (1995)
R.V. O'Toole, D. A. Simon, B. Jaramaz, O. Ghattas, M.K. Blackwell, ...
. Current surgical robotic systems in orthopaedics lack realistic pre-operative simulations and utilize invasive methods to register bone intra-operatively. A multidisciplinary group of researchers...