Flexible Approximation Model Approach for Bi-Level Integrated System Synthesis

An integrated system for modeling tree and stand survival

Canadian Journal of Forest Research ◽

10.1139/cjfr-2017-0229 ◽

2017 ◽

Vol 47 (10) ◽

pp. 1405-1409 ◽

Cited By ~ 4

Author(s):

Quang V. Cao

Keyword(s):

Survival Probability ◽

Mathematical Structure ◽

Survival Model ◽

Integrated System ◽

Survival Models ◽

Tree Level ◽

Individual Tree ◽

Tree Survival ◽

Different Levels ◽

Model Approach

Traditionally, separate models have been used to predict the number of trees per unit area (stand-level survival) and the survival probability of an individual tree (tree-level survival) at a certain age. This study investigated the development of integrated systems in which survival models at different levels of resolution are related in a mathematical structure. Two approaches for modeling tree and stand survival were considered: deriving a stand-level survival model from a tree-level survival model (approach 1) and deriving a tree survival model from a stand survival model (approach 2). Both approaches rely on finding a tree diameter that yields a tree survival probability equal to the stand-level survival probability. The tree and stand survival models from either approach are conceptually compatible with each other but not numerically compatible. Parameters of these models can be estimated either sequentially or simultaneously. Results indicated that approach 2, with parameters estimated sequentially (first from the stand survival model and then from the derived tree survival model), performed best in predicting both tree- and stand-level survival. Although disaggregation did not help improve prediction of tree-level survival, this method can be used when numerical consistency between stand and tree survival is desired.

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Bi-level integrated system synthesis with response surfaces

10.2514/6.1999-1306 ◽

1999 ◽

Cited By ~ 7

Author(s):

Srinivas Kodiyalam ◽

Jaroslaw Sobieszczanski-Sobieski

Keyword(s):

Response Surfaces ◽

Integrated System ◽

System Synthesis

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Bi-level Integrated System Synthesis: A Proposed Application to Aeroelastic Constraint Analysis in a Conceptual Design Environment

10.4271/2003-01-3060 ◽

2003 ◽

Author(s):

Peter W. G. De Baets ◽

Dimitri N. Mavris ◽

Jaroslaw Sobieszczanski-Sobieski

Keyword(s):

Conceptual Design ◽

Integrated System ◽

Design Environment ◽

System Synthesis ◽

Constraint Analysis

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A Web-Based Collaborative Environment for Bi-Level Integrated System Synthesis (BLISS)

47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference<BR> 14th AIAA/ASME/AHS Adaptive Structures Conference<BR> 7th ◽

10.2514/6.2006-1618 ◽

2006 ◽

Cited By ~ 7

Author(s):

Hongman Kim ◽

Scott Ragon ◽

James Mullins ◽

Jaroslaw Sobieszczanski-Sobieski

Keyword(s):

Integrated System ◽

Web Based ◽

System Synthesis ◽

Collaborative Environment

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Bilevel integrated system synthesis with response surfaces

AIAA Journal ◽

10.2514/3.14571 ◽

2000 ◽

Vol 38 ◽

pp. 1479-1485

Author(s):

Srinivas Kodiyalam ◽

Jaroslaw Sobieszczanski-Sobieski

Keyword(s):

Response Surfaces ◽

Integrated System ◽

System Synthesis

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Multidisciplinary design optimization architecture to concurrent design of satellite systems

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410016665412 ◽

2016 ◽

Vol 231 (10) ◽

pp. 1898-1916 ◽

Cited By ~ 3

Author(s):

Parviz Mohammad Zadeh ◽

Mohadeseh Sadat Shirazi

Keyword(s):

Design Optimization ◽

Multidisciplinary Design Optimization ◽

Satellite System ◽

Integrated System ◽

Multidisciplinary Design ◽

Benchmark Problems ◽

Design Problems ◽

System Synthesis ◽

Computational Performance ◽

Conflicting Objectives

The design of space systems is a complex and multidisciplinary process with multiple conflicting objectives, large number of design variables, and constraints that limits application of the existing multidisciplinary design optimization architectures to this class of design problems. This paper presents an enhanced multidisciplinary design optimization architecture to concurrent holistic design optimization of a satellite system. The proposed multidisciplinary design optimization architecture extends concepts of multidiscipline feasible and bi-level integrated system synthesis into a unified architecture using metamodels. The proposed architecture was evaluated and compared with the existing multidisciplinary design optimization architectures that include all-at-once, bi-level integrated system synthesis, and multidisciplinary design optimization using a remote sensing small satellite in low earth orbit. The satellite design optimization problem deals with the minimization of the total mass of the satellite, involving disciplines of mission analysis, payload, structures, attitude determination and control, communication, command and data handling, power and thermal. The computational performance and accuracy of the proposed architecture were compared with multidisciplinary design optimization benchmark problems. Then the proposed architecture is successfully applied to the satellite system design problem. The results obtained show that metamodel-based bi-level integrated system synthesis-multidisciplinary design optimization architecture presented in this paper provides an effective way of solving large-scale design problems.

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