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Showing papers by "Garth N. Wells published in 2016"


Journal ArticleDOI
TL;DR: In this article, a combination of response surface modeling, expected improvement, and the augmented Lagrangian numerical optimization framework is proposed to solve the problem of constrained black-box optimization.
Abstract: Constrained blackbox optimization is a difficult problem, with most approaches coming from the mathematical programming literature. The statistical literature is sparse, especially in addressing problems with nontrivial constraints. This situation is unfortunate because statistical methods have many attractive properties: global scope, handling noisy objectives, sensitivity analysis, and so forth. To narrow that gap, we propose a combination of response surface modeling, expected improvement, and the augmented Lagrangian numerical optimization framework. This hybrid approach allows the statistical model to think globally and the augmented Lagrangian to act locally. We focus on problems where the constraints are the primary bottleneck, requiring expensive simulation to evaluate and substantial modeling effort to map out. In that context, our hybridization presents a simple yet effective solution that allows existing objective-oriented statistical approaches, like those based on Gaussian process surrogates ...

85 citations


Journal ArticleDOI
TL;DR: In this article, the authors investigate long time steady-state dissolution in the presence of a background hydrological flow and find analytical solutions for the distribution of CO2 upstream of the anticline, and test their analysis with full numerical simulations.
Abstract: During CO2 sequestration into a deep saline aquifer of finite vertical extent, CO2 will tend to accumulate in structural highs such as offered by an anticline. Over times of tens to thousands of years, some of the CO2 will dissolve into the underlying groundwater to produce a region of relatively dense, saturated water directly below the plume of CO2 . Continued dissolution then requires the supply of unsaturated aquifer water. In an aquifer of finite vertical extent, this may be provided by a background hydrological flow, or a laterally-spreading buoyancy-driven flow caused by the greater density of the CO2 saturated water relative to the original aquifer water. We investigate long time steady-state dissolution in the presence of a background hydrological flow. In steady state, the distribution of CO2 in the groundwater upstream of the aquifer involves a balance between three competing effects: (i) the buoyancy-driven flow of CO2 saturated water; (ii) the diffusion of CO2 from saturated to under-saturated water; and (iii) the advection associated with the oncoming background flow. This leads to three limiting regimes. In the limit of very slow diffusion, a nearly static intrusion of dense fluid may extend a finite distance upstream, balanced by the pressure gradient associated with the oncoming background flow. In the limit of fast diffusion relative to the flow, a gradient zone may become established in which the along-aquifer diffusive flux balances the advection associated with the background flow. However, if the buoyancy-driven flow speed exceeds the background hydrological flow speed, then a third, intermediate regime may become established. In this regime, a convective recirculation develops upstream of the anticline involving the vertical diffusion of CO2 from an upstream propagating flow of dense CO2 saturated water into the downstream propagating flow of CO2 unsaturated water. For each limiting case, we find analytical solutions for the distribution of CO2 upstream of the anticline, and test our analysis with full numerical simulations. A key result is that, although there may be very different controls on the distribution and extent of CO2 bearing water upstream of the anticline, in each case the dissolution rate is given by the product of the background volume flux and the difference in concentration between the CO2 saturated water and the original aquifer water upstream.

17 citations



Journal ArticleDOI
TL;DR: In this paper, the authors examine Linux container technology for the distribution of a non-trivial scientific computing software stack and its execution on a spectrum of platforms from laptop computers through to high performance computing (HPC) systems.
Abstract: Containers are an emerging technology that hold promise for improving productivity and code portability in scientific computing. We examine Linux container technology for the distribution of a non-trivial scientific computing software stack and its execution on a spectrum of platforms from laptop computers through to high performance computing (HPC) systems. We show on a workstation and a leadership-class HPC system that when deployed appropriately there are no performance penalties running scientific programs inside containers. For Python code run on large parallel computers, the run time is reduced inside a container due to faster library imports. The software distribution approach and data that we present will help developers and users decide on whether container technology is appropriate for them. We also provide guidance for the vendors of HPC systems that rely on proprietary libraries for performance on what they can do to make containers work seamlessly and without performance penalty.

16 citations




Journal ArticleDOI
TL;DR: In this paper, the authors simulate three-dimensional torsional deformation of a partially molten rock that contains a rigid, spherical inclusion and compare the computed porosity patterns to those found in recent laboratory experiments.
Abstract: The processes that are involved in migration and extraction of melt from the mantle are not yet fully understood. Gaining a better understanding of material properties of partially molten rock could help shed light on the behavior of melt on larger scales in the mantle. In this study, we simulate three-dimensional torsional deformation of a partially molten rock that contains a rigid, spherical inclusion. We compare the computed porosity patterns to those found in recent laboratory experiments. The laboratory experiments show emergence of melt-rich bands throughout the rock sample, and pressure shadows around the inclusion. The numerical model displays similar melt-rich bands only for a small bulk-to-shear-viscosity ratio (five or less). The results are consistent with earlier two-dimensional numerical simulations; however, we show that it is easier to form melt-rich bands in three dimensions compared to two. The addition of strain-rate dependence of the viscosity causes a distinct change in the shape of pressure shadows around the inclusion. This change in shape presents an opportunity for experimentalists to identify the strain-rate dependence and therefore the dominant deformation mechanism in torsion experiments with inclusions.

5 citations



Posted Content
TL;DR: An optimisation procedure for automatically calibrating matched layers is presented, and it is shown that, for finite element time domain simulations, piecewise-constant attenuation function are at least as efficient as quadratic attenuation functions.
Abstract: Matched layers are commonly used in numerical simulations of wave propagation to model (semi-)infinite domains. Attenuation functions describe the damping in layers, and provide a matching of the wave impedance at the interface between the domain of interest and the absorbing region. Selecting parameters in the attenuation functions is non-trivial. In this work, an optimisation procedure for automatically calibrating matched layers is presented. The procedure is based on solving optimisation problems constrained by partial differential equations with polynomial and piecewise-constant attenuation functions. We show experimentally that, for finite element time domain simulations, piecewise-constant attenuation function are at least as efficient as quadratic attenuation functions. This observation leads us to introduce consecutive matched layers as an alternative to perfectly matched layers, which can easily be employed for problems with arbitrary geometries. Moreover, the use of consecutive matched layers leads to a reduction in computational cost compared to perfectly matched layers. Examples are presented for acoustic, elastodynamic and electromagnetic problems. Numerical simulations are performed with the libraries FEniCS/DOLFIN and dolfin-adjoint, and the computer code to reproduce all numerical examples is made freely available.

3 citations



Journal Article
TL;DR: In this article, an Augmented Lagrangian for black box constrained optimization is proposed, where the Lagrangians are modelled by augmented Lagrangia for blackbox constrained optimization.
Abstract: Supplementary material to "Modeling an Augmented Lagrangian for Blackbox Constrained Optimization"

Journal ArticleDOI
TL;DR: In this article, a hybridized discontinuous Galerkin finite element method for Stokes flow is presented, which is shown to be inf-sup stable for both equal-order and locally Taylor-Hood type spaces.
Abstract: Stability and error analysis of a hybridized discontinuous Galerkin finite element method for Stokes equations is presented. The method is locally conservative, and for particular choices of spaces the velocity field is point-wise solenoidal. It is shown that the method is inf-sup stable for both equal-order and locally Taylor--Hood type spaces, and \emph{a priori} error estimates are developed. The considered method can be constructed to have the same global algebraic structure as a conforming Galerkin method, unlike standard discontinuous Galerkin methods that have greater number of degrees of freedom than conforming Galerkin methods on a given mesh. We assert that this method is amongst the simplest and most flexible finite element approaches for Stokes flow that provide local mass conservation. With this contribution the mathematical basis is established, and this supports the performance of the method that has been observed experimentally in other works.