Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem

Ştefănescu, Răzvan; Hite, Jason; Cook, Jared; Smith, Ralph C.; Mattingly, John

doi:10.3390/a12060113

Title: Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem

Abstract

In this paper, we develop and numerically illustrate a robust sensor network design to optimally detect a radiation source in an urban environment. This problem exhibits a number of challenges: penalty functionals are non-smooth due to the presence of buildings, radiation transport models are often computationally expensive, sensor locations are not limited to a discrete number of points, and source intensity and location responses, based on a fixed number of sensors, are not unique. We consider a radiation source located in a prototypical 250 m × 180 m urban setting. To address the non-smooth properties of the model and computationally expensive simulation codes, we employ a verified surrogate model based on radial basis functions. Finally, using this surrogate, we formulate and solve a robust design problem that is optimal in an average sense for detecting source location and intensity with minimized uncertainty.

Authors:: Ştefănescu, Răzvan; Hite, Jason; Cook, Jared; Smith, Ralph C.; Mattingly, John

Publication Date:: Tue May 28 00:00:00 EDT 2019

Research Org.:: North Carolina State University, Raleigh, NC (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation

OSTI Identifier:: 1518520

Alternate Identifier(s):: OSTI ID: 1440888

Grant/Contract Number:: NA0002576

Resource Type:: Published Article

Journal Name:: Algorithms

Additional Journal Information:: Journal Name: Algorithms Journal Volume: 12 Journal Issue: 6; Journal ID: ISSN 1999-4893

Publisher:: MDPI AG

Country of Publication:: Switzerland

Language:: English

Subject:: 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 97 MATHEMATICS AND COMPUTING; robust design in the average sense; radiation source detection; particle swarm; radial basis functions

Citation Formats


                    Ştefănescu, Răzvan, Hite, Jason, Cook, Jared, Smith, Ralph C., and Mattingly, John. Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem.  Switzerland: N. p., 2019. 
Web.  doi:10.3390/a12060113.

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                    Ştefănescu, Răzvan, Hite, Jason, Cook, Jared, Smith, Ralph C., & Mattingly, John. Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem.  Switzerland.  https://doi.org/10.3390/a12060113

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                    Ştefănescu, Răzvan, Hite, Jason, Cook, Jared, Smith, Ralph C., and Mattingly, John. Tue .  
"Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem".  Switzerland.  https://doi.org/10.3390/a12060113.

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@article{osti_1518520,

  title        = {Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem},

  author       = {Ştefănescu, Răzvan and Hite, Jason and Cook, Jared and Smith, Ralph C. and Mattingly, John},

  abstractNote = {In this paper, we develop and numerically illustrate a robust sensor network design to optimally detect a radiation source in an urban environment. This problem exhibits a number of challenges: penalty functionals are non-smooth due to the presence of buildings, radiation transport models are often computationally expensive, sensor locations are not limited to a discrete number of points, and source intensity and location responses, based on a fixed number of sensors, are not unique. We consider a radiation source located in a prototypical 250 m × 180 m urban setting. To address the non-smooth properties of the model and computationally expensive simulation codes, we employ a verified surrogate model based on radial basis functions. Finally, using this surrogate, we formulate and solve a robust design problem that is optimal in an average sense for detecting source location and intensity with minimized uncertainty.},

  doi          = {10.3390/a12060113},

  journal      = {Algorithms},

  number       = 6,

  volume       = 12,

  place        = {Switzerland},

  year         = {Tue May 28 00:00:00 EDT 2019},

  month        = {Tue May 28 00:00:00 EDT 2019}

}

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Hybrid optimization and Bayesian inference techniques for a non-smooth radiation detection problem: INFERENCE TECHNIQUES FOR A RADIATION DETECTION PROBLEM
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Works referencing / citing this record:

Application and Evaluation of Surrogate Models for Radiation Source Search
journal, December 2019

Cook, Jared A.; Smith, Ralph C.; Hite, Jason M.
Algorithms, Vol. 12, Issue 12
DOI: 10.3390/a12120269

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Title: Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem

Abstract

Citation Formats

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