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

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1400041
Report Number(s):
SAND2016-10241C
648224
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
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
Language:
English

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:. https://www.osti.gov/servlets/purl/1400041.
@article{osti_1400041,
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 =
}

Conference:
Other availability
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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.
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