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Dive into the research topics where Shawn Allen English is active.

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Featured researches published by Shawn Allen English.


symposium on geometry processing | 2016

Disk density tuning of a maximal random packing

Mohamed S. Ebeida; Ahmad Rushdi; Muhammad A. Awad; Ahmed H. Mahmoud; Dong-Ming Yan; Shawn Allen English; John D. Owens; Chandrajit L. Bajaj; Scott A. Mitchell

We introduce an algorithmic framework for tuning the spatial density of disks in a maximal random packing, without changing the sizing function or radii of disks. Starting from any maximal random packing such as a Maximal Poisson‐disk Sampling (MPS), we iteratively relocate, inject (add), or eject (remove) disks, using a set of three successively more‐aggressive local operations. We may achieve a user‐defined density, either more dense or more sparse, almost up to the theoretical structured limits. The tuned samples are conflict‐free, retain coverage maximality, and, except in the extremes, retain the blue noise randomness properties of the input. We change the density of the packing one disk at a time, maintaining the minimum disk separation distance and the maximum domain coverage distance required of any maximal packing. These properties are local, and we can handle spatially‐varying sizing functions. Using fewer points to satisfy a sizing function improves the efficiency of some applications. We apply the framework to improve the quality of meshes, removing non‐obtuse angles; and to more accurately model fiber reinforced polymers for elastic and failure simulations.


Archive | 2015

Quasi-Static Indentation Analysis of Carbon-Fiber Laminates.

Timothy Briggs; Shawn Allen English; Stacy Michelle Nelson

A series of quasi-static indentation experiments are conducted on carbon fiber reinforced polymer laminates with a systematic variation of thicknesses and fixture boundary conditions. Different deformation mechanisms and their resulting damage mechanisms are activated by changing the thickness and boundary conditions. The quasi-static indentation experiments have been shown to achieve damage mechanisms similar to impact and penetration, however without strain rate effects. The low rate allows for the detailed analysis on the load response. Moreover, interrupted tests allow for the incremental analysis of various damage mechanisms and progressions. The experimentally tested specimens are non-destructively evaluated (NDE) with optical imaging, ultrasonics and computed tomography. The load displacement responses and the NDE are then utilized in numerical simulations for the purpose of model validation and vetting. The accompanying numerical simulation work serves two purposes. First, the results further reveal the time sequence of events and the meaning behind load drops not clear from NDE. Second, the simulations demonstrate insufficiencies in the code and can then direct future efforts for development.


Archive | 2013

A micro to macro approach to polymer matrix composites damage modeling : final LDRD report.

Shawn Allen English; Arthur A. Brown; Timothy Briggs

Capabilities are developed, verified and validated to generate constitutive responses using material and geometric measurements with representative volume elements (RVE). The geometrically accurate RVEs are used for determining elastic properties and damage initiation and propagation analysis. Finite element modeling of the meso-structure over the distribution of characterizing measurements is automated and various boundary conditions are applied. Plain and harness weave composites are investigated. Continuum yarn damage, softening behavior and an elastic-plastic matrix are combined with known materials and geometries in order to estimate the macroscopic response as characterized by a set of orthotropic material parameters. Damage mechanics and coupling effects are investigated and macroscopic material models are demonstrated and discussed. Prediction of the elastic, damage, and failure behavior of woven composites will aid in macroscopic constitutive characterization for modeling and optimizing advanced composite systems.


Archive | 2015

Criteria for initiation of delamination in quasi-static punch-shear tests of a carbon-fiber composite material.

Eric Brian Chin; Shawn Allen English; Timothy Briggs

V arious phenomenological delamination initiation criteria are analyzed in quasi - static punch - shear tests conducted on six different geometries. These six geometries are modeled and analyzed using elastic, large - deformation finite element analysis. Analysis output is post - processed to assess different delamination initiation criteria, and their applicability to each of the geometries. These criteria are compared to test results to assess whether or not they are appropriate based on what occurred in testing. Further, examinations of CT scans and ultrasonic images o f test specimens are conducted in the appendix to determine the sequence of failure in each test geometry.


Composites Part B-engineering | 2016

Composite laminate failure parameter optimization through four-point flexure experimentation and analysis

Stacy Michelle Nelson; Shawn Allen English; Timothy Briggs


Composite Structures | 2016

Quantitative validation of carbon-fiber laminate low velocity impact simulations

Shawn Allen English; Timothy Briggs; Stacy Michelle Nelson


Archive | 2014

Verification and Validation of Carbon-Fiber Laminate Low Velocity Impact Simulations.

Shawn Allen English; Stacy Michelle Nelson; Timothy Briggs; Arthur A. Brown


Archive | 2014

VALIDATION OF CARBON-FIBER LAMINATE SIMULATIONS WITH LOW VELOCITY IMPACT EXPERIMENTS.

Shawn Allen English; Timothy Briggs; Stacy Michelle Nelson; David Glenn Moore


Archive | 2013

MATERIAL CHARACTERIZATION WITH REPRESENTATIVE VOLUME SIMULATIONS OF WOVEN POLYMER MATRIX COMPOSITES.

Shawn Allen English; Timothy Briggs


Archive | 2013

A 3D Orthotropic Elastic Continuum Damage Material Model

Shawn Allen English; Arthur A. Brown

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Timothy Briggs

Sandia National Laboratories

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Arthur A. Brown

Sandia National Laboratories

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Mohamed S. Ebeida

Carnegie Mellon University

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Ahmad Rushdi

University of California

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Chandrajit L. Bajaj

University of Texas at Austin

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John D. Owens

University of California

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Scott A. Mitchell

Sandia National Laboratories

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