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Wadbro, Eddie
Publications (10 of 13) Show all publications
Wadbro, E. & Berggren, M. (2010). High contrast microwave tomography using topology optimization techniques. Journal of Computational and Applied Mathematics, 234, 1773-1780
Open this publication in new window or tab >>High contrast microwave tomography using topology optimization techniques
2010 (English)In: Journal of Computational and Applied Mathematics, ISSN 0377-0427, E-ISSN 1879-1778, Vol. 234, p. 1773-1780Article in journal (Refereed) Published
National Category
Computational Mathematics Computer Sciences
Identifiers
urn:nbn:se:uu:diva-98380 (URN)10.1016/j.cam.2009.08.027 (DOI)000278570900021 ()
Projects
Design Optimization
Available from: 2009-02-20 Created: 2009-02-20 Last updated: 2018-01-13Bibliographically approved
Wadbro, E. (2010). Microwave tomographic imaging as a sequence of topology optimization problems. Optimization and Engineering, 11, 597-610
Open this publication in new window or tab >>Microwave tomographic imaging as a sequence of topology optimization problems
2010 (English)In: Optimization and Engineering, ISSN 1389-4420, E-ISSN 1573-2924, Vol. 11, p. 597-610Article in journal (Refereed) Published
National Category
Computational Mathematics Computer Sciences
Identifiers
urn:nbn:se:uu:diva-87936 (URN)10.1007/s11081-008-9075-x (DOI)000284851600006 ()
Projects
Design Optimization
Available from: 2009-01-15 Created: 2009-01-15 Last updated: 2018-01-13Bibliographically approved
Wadbro, E., Udawalpola, R. & Berggren, M. (2010). Shape and topology optimization of an acoustic horn-lens combination. Journal of Computational and Applied Mathematics, 234, 1781-1787
Open this publication in new window or tab >>Shape and topology optimization of an acoustic horn-lens combination
2010 (English)In: Journal of Computational and Applied Mathematics, ISSN 0377-0427, E-ISSN 1879-1778, Vol. 234, p. 1781-1787Article in journal (Refereed) Published
National Category
Computational Mathematics Computer Sciences
Identifiers
urn:nbn:se:uu:diva-98374 (URN)10.1016/j.cam.2009.08.028 (DOI)000278570900022 ()
Projects
Design Optimization
Available from: 2009-02-20 Created: 2009-02-20 Last updated: 2018-01-13Bibliographically approved
Wadbro, E. & Berggren, M. (2009). Megapixel topology optimization on a graphics processing unit. SIAM Review, 51, 707-721
Open this publication in new window or tab >>Megapixel topology optimization on a graphics processing unit
2009 (English)In: SIAM Review, ISSN 0036-1445, E-ISSN 1095-7200, Vol. 51, p. 707-721Article in journal (Refereed) Published
National Category
Computer Sciences Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-98381 (URN)10.1137/070699822 (DOI)000271983500004 ()
Projects
Design Optimization
Available from: 2009-02-20 Created: 2009-02-20 Last updated: 2018-01-13Bibliographically approved
Wadbro, E. (2009). Topology Optimization for Wave Propagation Problems. (Doctoral dissertation). Uppsala: Acta Universitatis Upsaliensis
Open this publication in new window or tab >>Topology Optimization for Wave Propagation Problems
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis considers topology optimization methods for wave propagation problems. These methods make no a priori assumptions on topological properties such as the number of bodies involved in the design. The performed studies address problems from two different areas, acoustic wave propagation and microwave tomography. The final study discusses implementation aspects concerning the efficient solution of large scale material distribution problems.

Acoustic horns may be viewed as impedance transformers between the feeding waveguide and the surrounding air. Modifying the shape of an acoustic horn changes the quality of the impedance match as well as the angular distribution of the radiated waves in the far field (the directivity). This thesis presents strategies to optimize acoustic devices with respect to efficiency and directivity simultaneously. The resulting devices exhibit desired far field properties and high efficiency throughout wide frequency ranges.

In microwave tomography, microwaves illuminate an object, and measurements of the scattered electrical field are used to depict the object's conductive and dielectric properties. Microwave tomography has unique features for medical applications. However, the reconstruction problem is difficult due to strongly diffracting waves in combination with large dielectric contrasts. This thesis demonstrates a new method to perform the reconstruction using techniques originally developed for topology optimization of linearly elastic structures. Numerical experiments illustrate the method and produce good estimates of dielectric properties corresponding to biological objects.

Material distribution problems are typically cast as large (for high resolutions) nonlinear programming problems over coefficients in partial differential equations. Here, the computational power of a modern graphics processing unit (GPU) efficiently solves a pixel based material distribution problem with over 4 million unknowns using a gradient based optimality criteria method.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2009. p. 28
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 612
National Category
Computational Mathematics
Research subject
Scientific Computing
Identifiers
urn:nbn:se:uu:diva-98382 (URN)978-91-554-7438-6 (ISBN)
Public defence
2009-04-03, Room 2446, Polacksbacken, Lägerhyddsvägen 2D, Uppsala, 10:15 (English)
Opponent
Supervisors
Available from: 2009-03-12 Created: 2009-02-20 Last updated: 2011-10-27Bibliographically approved
Wadbro, E. & Berggren, M. (2008). Microwave tomography using topology optimization techniques. SIAM Journal on Scientific Computing, 30, 1613-1633
Open this publication in new window or tab >>Microwave tomography using topology optimization techniques
2008 (English)In: SIAM Journal on Scientific Computing, ISSN 1064-8275, E-ISSN 1095-7197, Vol. 30, p. 1613-1633Article in journal (Refereed) Published
National Category
Computational Mathematics Computer Sciences
Identifiers
urn:nbn:se:uu:diva-16104 (URN)10.1137/070679879 (DOI)000255500500024 ()
Projects
Design Optimization
Available from: 2008-04-22 Created: 2008-04-22 Last updated: 2018-01-12Bibliographically approved
Wadbro, E. & Berggren, M. (2007). High contrast microwave tomography using topology optimization techniques. In: Proc. 8th International Conference on Mathematical and Numerical Aspects of Waves: WAVES 2007 (pp. 448-450). Reading, UK: Department of Mathematics, University of Reading
Open this publication in new window or tab >>High contrast microwave tomography using topology optimization techniques
2007 (English)In: Proc. 8th International Conference on Mathematical and Numerical Aspects of Waves: WAVES 2007, Reading, UK: Department of Mathematics, University of Reading , 2007, p. 448-450Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Reading, UK: Department of Mathematics, University of Reading, 2007
National Category
Computational Mathematics Computer Sciences
Identifiers
urn:nbn:se:uu:diva-11462 (URN)0-704998-80-7 (ISBN)
Projects
Design Optimization
Available from: 2007-09-16 Created: 2007-09-16 Last updated: 2018-01-12Bibliographically approved
Wadbro, E., Udawalpola, R. & Berggren, M. (2007). Shape and topology optimization of an acoustic horn-lens combination. In: Proc. 8th International Conference on Mathematical and Numerical Aspects of Waves: WAVES 2007 (pp. 451-453). Reading, UK: Department of Mathematics, University of Reading
Open this publication in new window or tab >>Shape and topology optimization of an acoustic horn-lens combination
2007 (English)In: Proc. 8th International Conference on Mathematical and Numerical Aspects of Waves: WAVES 2007, Reading, UK: Department of Mathematics, University of Reading , 2007, p. 451-453Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Reading, UK: Department of Mathematics, University of Reading, 2007
National Category
Computational Mathematics Computer Sciences
Identifiers
urn:nbn:se:uu:diva-11463 (URN)0-704998-80-7 (ISBN)
Projects
Design Optimization
Available from: 2007-09-16 Created: 2007-09-16 Last updated: 2018-01-12Bibliographically approved
Wadbro, E. (2006). On the far-field properties of an acoustic horn.
Open this publication in new window or tab >>On the far-field properties of an acoustic horn
2006 (English)Report (Other academic)
Series
Technical report / Department of Information Technology, Uppsala University, ISSN 1404-3203 ; 2006-042
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-82158 (URN)
Projects
Design Optimization
Available from: 2008-02-19 Created: 2008-02-19 Last updated: 2011-11-18Bibliographically approved
Wadbro, E. (2006). Topology optimization for acoustic wave propagation problems. (Licentiate dissertation). Uppsala University
Open this publication in new window or tab >>Topology optimization for acoustic wave propagation problems
2006 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of this study is to develop numerical techniques for the analysis and optimization of acoustic horns for time harmonic wave propagation. An acoustic horn may be viewed as an impedance transformer, designed to give an impedance matching between the feeding waveguide and the surrounding air. When modifying the shape of the horn, the quality of this impedance matching changes, as well as the angular distribution of the radiated wave in the far field (the directivity). The dimensions of the horns considered are in the order of the wavelength. In this wavelength region the wave physics is complicated, and it is hard to apply elementary physical reasoning to enhance the performance of the horn. Here, topology optimization is applied to improve the efficiency and to gain control over the directivity of the acoustic horn.

Place, publisher, year, edition, pages
Uppsala University, 2006
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2006-009
National Category
Computational Mathematics
Research subject
Scientific Computing
Identifiers
urn:nbn:se:uu:diva-86427 (URN)
Supervisors
Available from: 2006-10-13 Created: 2006-10-28 Last updated: 2017-08-31Bibliographically approved
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