Gordon Patrick Warn

    • 408 Citations
    • 9 h-Index
    20032020
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    Fingerprint Dive into the research topics where Gordon Patrick Warn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    • 13 Similar Profiles
    Bearings (structural) Engineering & Materials Science
    Bridge decks Engineering & Materials Science
    Concrete bridges Engineering & Materials Science
    Earthquakes Engineering & Materials Science
    Stiffness Engineering & Materials Science
    Rubber Engineering & Materials Science
    Steel Chemical Compounds
    Shear walls Engineering & Materials Science

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    Research Output 2003 2020

    A consistent Timoshenko hysteretic beam finite element model

    Amir, M., Papakonstantinou, K. G. & Warn, G. P., Mar 2020, In : International Journal of Non-Linear Mechanics. 119, 103218.

    Research output: Contribution to journalArticle

    Timoshenko Beam
    Interpolation Function
    Finite Element Model
    Interpolation
    Shear Locking

    A method for bounding imprecise probabilistic criteria when using a sequential decision process for the design of structural systems

    Chhabra, J. P. S. & Warn, G. P., Jul 2019, In : Structural Safety. 79, p. 39-53 15 p.

    Research output: Contribution to journalArticle

    Structural frames
    Seismic design
    Risk analysis
    Numerical analysis
    Materials properties
    2 Citations (Scopus)

    A method for model selection using reinforcement learning when viewing design as a sequential decision process

    Chhabra, J. P. S. & Warn, G. P., May 15 2019, In : Structural and Multidisciplinary Optimization. 59, 5, p. 1521-1542 22 p.

    Research output: Contribution to journalArticle

    Reinforcement learning
    Reinforcement Learning
    Model Selection
    Fidelity
    Model

    Whole building life cycle environmental impacts and costs: A sensitivity study of design and service decisions

    Hasik, V., Ororbia, M., Warn, G. P. & Bilec, M. M., Oct 2019, In : Building and Environment. 163, 106316.

    Research output: Contribution to journalArticle

    architectural design
    life cycle
    Environmental impact
    environmental impact
    Life cycle

    Investigating the use of reinforcement learning for multi-fidelity model selection in the context of design decision making

    Chhabra, J. P. S. & Warn, G. P., Jan 1 2018, 44th Design Automation Conference. American Society of Mechanical Engineers (ASME), (Proceedings of the ASME Design Engineering Technical Conference; vol. 2B-2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Reinforcement learning
    Reinforcement Learning
    Model Selection
    Fidelity
    Decision making