Abstract
Abstract Analytical target cascading (ATC) is a methodology for hierarchical multilevel system design optimization. In previous work, the deterministic ATC formulation was extended to account for random variables represented by expected values to be matched among subproblems and thus ensure design consistency. In this work, the probabilistic formulation is augmented to allow the introduction and matching of additional probabilistic characteristics. A particular probabilistic analytical target cascading (PATC) formulation is proposed that matches the first two moments of interrelated responses and linking variables. Several implementation issues are addressed, including representation of probabilistic design targets, matching responses and linking variables under uncertainty, and coordination strategies. Analytical and simulation-based optimal design examples are used to illustrate the new formulation. The accuracy of the proposed PATC formulation is demonstrated by comparing PATC results to those obtained using a probabilistic all-in-one formulation.
References
43
Referenced
91
10.2514/3.13015
/ AIAA J. / Optimization of Coupled Systems: A Critical Overview of Approaches by Balling- Alexandrov, N. M., and Lewis, R. M., 1999, “Comparative Properties of Collaborative Optimization and Other Approaches to MDO,” ICASE Report, No. 99-24, NASA/CR-1999-209354.
10.1137/0804044
/ SIAM J. Optim. / Problem Formulation for Multidisciplinary Optimization by Cramer-
Kroo,
I.,
Altus,
S.,
Braun,
R.,
Gage,
P., and
Sobieski,
I.,
1994, ”Multidisciplinary
Optimization Methods for Aircraft Preliminary Design,” 5th
AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization,
paper no. AIAA 94-4325, Panama City, Florida.
(
10.2514/6.1994-4325
) -
Braun, R.
D., Kroo, I.
M., and Moore, A.
A., 1996,
“Use of the Collaborative Optimization Architecture for
Launch Vehicle Design,” 6th AIAA/USAF/NASA/ISSMO Symposium
on Multidisciplinary Analysis and Optimization, paper no. AIAA 96-4018,
Bellevue, WA.
(
10.2514/6.1996-4018
) {'key': '2022040713072957400_c6', 'first-page': '97', 'volume-title': 'AIAA\n Pap.', 'author': 'Kroo'}
/ AIAA Pap. by Kroo{'issue': '3', 'key': '2022040713072957400_c7', 'first-page': '403', 'article-title': 'Multiobjective Collaborative Optimization', 'volume': '119', 'author': 'Renaud', 'journal-title': 'ASME J. Mech. Des.', 'ISSN': 'http://id.crossref.org/issn/1050-0472', 'issn-type': 'print'}
/ ASME J. Mech. Des. / Multiobjective Collaborative Optimization by Renaud{'key': '2022040713072957400_c8', 'first-page': '293', 'article-title': 'Target Cascading\n in Optimal System Design', 'volume-title': 'Proceedings of the ASME\n Design Engineering Technical Conferences', 'author': 'Kim'}
/ Proceedings of the ASME Design Engineering Technical Conferences / Target Cascading in Optimal System Design by Kim- Kim, H. M. , 2001, Target Cascading in Optimal System Design, Ph.D. thesis, University of Michigan, Ann Arbor, Michigan.
{'key': '2022040713072957400_c10', 'first-page': '661', 'article-title': 'Analytical Target Cascading in Automotive Vehicle\n Design', 'volume-title': 'Proceedings of the ASME Design Engineering\n Technical Conferences', 'author': 'Kim'}
/ Proceedings of the ASME Design Engineering Technical Conferences / Analytical Target Cascading in Automotive Vehicle Design by Kim10.1504/IJVD.2002.002010
/ Int. J. Veh. Des. / Target Cascading in Vehicle Redesign: A Class VI Truck Study by Kim10.1007/s00158-002-0240-0
/ Struct. Multidiscip. Optim. / Extension of the Target Cascading Formulation to the Design of Product Families by Kokkolaras{'issue': '3,4', 'key': '2022040713072957400_c13', 'first-page': '402', 'article-title': 'Simulation-Based Optimal Design of Heavy Trucks by\n Model-Based Decomposition: An Extensive Analytical Target Cascading Case\n Study', 'volume': '11', 'author': 'Kokkolaras', 'journal-title': 'International Journal of Heavy Vehicle\n Systems'}
/ International Journal of Heavy Vehicle Systems / Simulation-Based Optimal Design of Heavy Trucks by Model-Based Decomposition: An Extensive Analytical Target Cascading Case Study by Kokkolaras- Wagner, T. C. , 1993, A General Decomposition Methodology for Optimal System Design, Ph.D. thesis, University of Michigan, Ann Arbor, Michigan.
10.1115/DETC2003/DAC-48734
/ Proceedings of the ASME Design Engineering Technical Conferences / Analytical Target Setting: An Enterprise Context in Optimal Product Design by Cooper10.1115/1.1587156
/ ASME J. Mech. Des. / An Approach to Decision-Based Design with Discrete Choice Analysis for Demand Modeling by Wassenaar{'key': '2022040713072957400_c17', 'first-page': '309', 'article-title': 'An Investigation of Multidisciplinary Design Subject to\n Uncertainty', 'volume-title': 'AIAA-1998-4747, 7th\n AIAA/USAF/NASA/ISSMO Multidisciplinary Analysis and Optimization\n Symposium', 'author': 'Gu'}
/ AIAA-1998-4747, 7th AIAA/USAF/NASA/ISSMO Multidisciplinary Analysis and Optimization Symposium / An Investigation of Multidisciplinary Design Subject to Uncertainty by Gu10.2514/2.805
/ AIAA J. / Robust Design Approach for Achieving Flexibility in Multidisciplinary Design by Chen10.2514/2.1681
/ AIAA J. / Efficient Uncertainty Analysis Methods for Multidisciplinary Robust Design by Du-
Batill,
S.,
Renaud, J.
E., and Gu,
X.,
2000, “Modeling and
Simulation Uncertainty in Multidisciplinary Design
Optimization,” 8th AIAA/NASA/USAF/ISSMO Multidisciplinary
Analysis and Optimization Conference and Exhibit, paper no. AIAA 2000-4803, Long
Beach, California.
(
10.2514/6.2000-4803
) 10.2514/6.2000-4841
/ Proceedings of 8th AIAA/NASA/USAF/ISSMO Multidisciplinary Analysis and Optimization Conference and Exhibit / An Iterative Concurrent Subspace Robust Design Framework by Padmanabhan10.2514/6.2004-4472
/ Proceedings of 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference / An Approach to Robust Decision Making in Multidisciplinary Selection Problems under Uncertainty by Gurnani- Sues, R., Cesare, M., Pageau, S., and Wu, J., 2000, “Reliability Based MDO for Aerospace Systems,” 8th Symposium on Multidisciplinary Analysis and Optimization, AIAA 2000-4804, Long Beach, California.
- Chiralaksanakul, A., and Mahadevan, S., 2004, “Multidisciplinary Design Optimization Under Uncertainty,” 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, paper no. AIAA-2004-4311, Albany, NY.
10.1115/1.2168470
/ ASME J. Mech. Des. / Design Optimization of Hierarchically Decomposed Multilevel System under Uncertainty by Kokkolaras{'key': '2022040713072957400_c26', 'volume-title': 'Quality Engineering Using Robust Design', 'author': 'Phadke'}
/ Quality Engineering Using Robust Design by Phadke-
Kim,
H.,
Kumar,
D.,
Chen,
W., and
Papalambros, P.
Y., 2004,
“Target Feasibility Achievement in Enterprise-Driven
Hierarchical Multidisciplinary Design,” 10th AIAA/ISSMO
Multidisciplinary Analysis and Optimization Conference, paper no.
AIAA-2004-4546, Albany, NY.
(
10.2514/6.2004-4546
) - Allison, J. , 2004, Complex System Optimization: A Comparison of Analytical Target Cascading, Collaborative Optimization, and Other Formulations, MS thesis, University of Michigan, Ann Arbor, Michigan.
10.1115/1.1862674
/ ASME J. Mech. Des. / Technical Brief: Weights, Norms, and Notation in Analytical Target Cascading by Michalek{'key': '2022040713072957400_c30', 'volume-title': 'Probability Concepts in Engineering Planning and Design, Volume\n I–Basic Principles', 'author': 'Ang'}
/ Probability Concepts in Engineering Planning and Design, Volume I–Basic Principles by Ang10.1115/1.1290247
/ ASME J. Mech. Des. / Towards a Better Understanding of Modeling Feasibility Robustness in Engineering by Du10.1115/1.1334596
/ ASME J. Mech. Des. / A Comprehensive Robust Design Approach for Decision Trade-Offs in Complex Systems Design by Kalsi10.1115/1.1543978
/ ASME J. Mech. Des. / Multidisciplinary Robust Design Optimization of an Internal Combustion Engine by McAllister10.1115/1.1759358
/ ASME J. Mech. Des. / An Integrated Framework for Optimization Using Inverse Reliability Strategy by Du10.1115/1.1897408
/ ASME J. Mech. Des. / Enhancing Discrete Choice Demand Modeling for Decision-Based Design by Wassenaar10.1115/DETC2004-57487
/ An Integrated Latent Variable Choice Modeling Approach to Enhancing Product Demand Modeling by Wassenaar10.2514/6.2002-5506
/ Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization / Convergence Properties of Analytical Target Cascading by Michelena10.1023/B:OPTE.0000048534.58121.93
/ Opt. Eng. / Multidisciplinary Design Optimization with Quasiseparable Subsystems by Haftka{'key': '2022040713072957400_c39', 'volume-title': 'Applied Geometric Programming', 'author': 'Beightler'}
/ Applied Geometric Programming by Beightler{'key': '2022040713072957400_c40', 'volume-title': 'Statistics and Data Analysis from Elementary to\n Intermediate', 'author': 'Tamhane'}
/ Statistics and Data Analysis from Elementary to Intermediate by Tamhane10.1007/s00158-005-0579-0
/ Proceedings of the 6th World Conference on Structural and Multidisciplinary Optimization / An Augmented Lagrangian Relaxation for Analytical Target Cascading using the Alternating Directions Method of Multipliers by Tosserams10.2514/6.2006-7086
/ Proceedings of the IFORS / Lagrangian Coordination for Enhancing the Convergence of Analytical Target Cascading by Kim10.1115/1.1649968
/ ASME J. Mech. Des. / Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design by Du
Dates
Type | When |
---|---|
Created | 19 years, 2 months ago (June 16, 2006, 6:25 p.m.) |
Deposited | 3 years, 4 months ago (April 7, 2022, 9:07 a.m.) |
Indexed | 1 month, 1 week ago (July 19, 2025, 11:24 p.m.) |
Issued | 19 years, 10 months ago (Oct. 26, 2005) |
Published | 19 years, 10 months ago (Oct. 26, 2005) |
Published Online | 19 years, 10 months ago (Oct. 26, 2005) |
Published Print | 19 years, 1 month ago (July 1, 2006) |
@article{Liu_2005, title={Probabilistic Analytical Target Cascading: A Moment Matching Formulation for Multilevel Optimization Under Uncertainty}, volume={128}, ISSN={1528-9001}, url={http://dx.doi.org/10.1115/1.2205870}, DOI={10.1115/1.2205870}, number={4}, journal={Journal of Mechanical Design}, publisher={ASME International}, author={Liu, Huibin and Chen, Wei and Kokkolaras, Michael and Papalambros, Panos Y. and Kim, Harrison M.}, year={2005}, month=oct, pages={991–1000} }