Improved constraint-aggregation methods

By Graeme J. Kennedy, Jason E. Hicken. 2015

135 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/66f12bee35572e313d25816090bd1b21f005693c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. John T. Hwang
2. Joaquim R. Martins
3. Andrew B. Lambe
4. Graeme J. Kennedy
5. Justin S. Gray

In Computational Theory and Mathematics

1. Joaquim R. Martins
2. Andrew B. Lambe
3. John T. Hwang
4. Graeme J. Kennedy
5. Justin S. Gray
6. K. T. Moore
7. Bret A. Naylor
8. Gaetan K. W. Kenway

In Statistics and Probability

1. Joaquim R. Martins
2. Andrew B. Lambe
3. John T. Hwang
4. Graeme J. Kennedy
5. K. T. Moore
6. Justin S. Gray
7. Bret A. Naylor
8. Gaetan K. W. Kenway

Citations in the corpus

• OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization (2019, background): “Kennedy and Hicken [57] developed improved aggregation methods that offer a less conservative and more numerically stable formulation, but despite the improvements, aggregation is still not appropriate for all applications.”
• An evaluation of constraint aggregation strategies for wing box mass minimization (2017, methodology): “As a result of this construction, some discrete aggregates exhibit mesh-dependence (Kennedy and Hicken, 2015).”