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Title: Using a common geometry description to enable optimization-based design.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the USACM Conference on Isogeometric Analysis and Meshfree Methods held October 10-13, 2016 in La Jolla, CA.
Country of Publication:
United States

Citation Formats

Robbins, Joshua. Using a common geometry description to enable optimization-based design.. United States: N. p., 2016. Web.
Robbins, Joshua. Using a common geometry description to enable optimization-based design.. United States.
Robbins, Joshua. 2016. "Using a common geometry description to enable optimization-based design.". United States. doi:.
title = {Using a common geometry description to enable optimization-based design.},
author = {Robbins, Joshua},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month =

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  • A data structure is presented for integrating geometric modeling with analysis and optimization. The data structure is integer based; using a hierarchical integer-pointer scheme to define and manipulate geometry. The integer nature of the data structure leads to fast and accurate operations. Engineers interact with the data structure at shape level. Variables of shapes are constrained and related to each other so that a reduced set of design variables result. These design variables are used to pose both analysis and optimization problems. The design variables represent natural variables of a design (e.g., lengths, radii, etc). Heuristics are used to simplifymore » the integrated modeling, analysis, and optimization procedures. The resulting engineering environment concurrently poses analysis and optimization problems during model generation, leading to an integrated geometry based method of analysis and optimization. An example problem is given. 7 refs., 12 figs., 4 tabs.« less
  • No abstract prepared.
  • Finding the optimal (lightest, least expensive, etc.) design for an engineered component that meets or exceeds a specified level of reliability is a problem of obvious interest across a wide spectrum of engineering fields. Various methods for this reliability-based design optimization problem have been proposed. Unfortunately, this problem is rarely solved in practice because, regardless of the method used, solving the problem is too expensive or the final solution is too inaccurate to ensure that the reliability constraint is actually satisfied. This is especially true for engineering applications involving expensive, implicit, and possibly nonlinear performance functions (such as large finitemore » element models). The Efficient Global Reliability Analysis method was recently introduced to improve both the accuracy and efficiency of reliability analysis for this type of performance function. This paper explores how this new reliability analysis method can be used in a design optimization context to create a method of sufficient accuracy and efficiency to enable the use of reliability-based design optimization as a practical design tool.« less
  • This paper presents the results of initial field quality optimization of body and end harmonics in a 'common coil magnet design'. It is shown that a good field quality, as required in accelerator magnets, can be obtained by distributing conductor blocks in such a way that they simulate an elliptical coil geometry. This strategy assures that the amount of conductor used in this block design is similar to that is used in a conventional cosine theta design. An optimized yoke that keeps all harmonics small over the entire range of operation using a single power supply is also presented. Themore » field harmonics are primarily optimized with the computer program ROXIE.« less