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Proceedings Paper

Lessons learned from parametric structural modeling of a large ground-based observatory
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Paper Abstract

In the conceptual design phase for a large ground-based observatory, it is often necessary to make major design decisions affecting output figures of merit before sufficiently detailed models are available for predicting results. While a single "point design" may be selected based on expert opinion, for new and complex structures the optimal design that meets both cost and science requirements may not be obvious without analysis of many models. One solution to evaluating different designs early in the design process is to create a parametric model of the telescope structure and predict the dynamic behavior using an integrated model. An integrated model is an environment where the major disciplines of disturbance, optics, controls and structures are modeled. In this way a large tradespace across different design configurations and parametric values can be rapidly evaluated using metrics such as image motion and estimated system cost. This paper describes the steps taken by the MIT Space System Laboratory (MIT SSL) for large ground-based observatory preliminary design using a parametric integrated model. The parametric finite element structural model is described and representative results are shown. In particular, this paper will describe lessons learned about the advantages and challenges encountered during development and implementation of the parametric integrated model such as the usefulness of a visualization tool and the importance of subsystem model modularity.

Paper Details

Date Published: 22 June 2006
PDF: 10 pages
Proc. SPIE 6271, Modeling, Systems Engineering, and Project Management for Astronomy II, 62710P (22 June 2006); doi: 10.1117/12.671622
Show Author Affiliations
Deborah J. Howell, Massachusetts Institute of Technology (United States)
Scott A. Uebelhart, Massachusetts Institute of Technology (United States)
David W. Miller, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6271:
Modeling, Systems Engineering, and Project Management for Astronomy II
Martin J. Cullum; George Z. Angeli, Editor(s)

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