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Estimation of the Physical Properties of Corroding Rebar in Reinforced Concrete Using Biot-Stoll Model Inversion.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Estimation of the Physical Properties of Corroding Rebar in Reinforced Concrete Using Biot-Stoll Model Inversion./
Author:	Brogden, Matthew.
Description:	1 online resource (129 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-02.
Contained By:	Masters Abstracts International84-02.
Subject:	Ocean engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29327619click for full text (PQDT)
ISBN:	9798841797227

Estimation of the Physical Properties of Corroding Rebar in Reinforced Concrete Using Biot-Stoll Model Inversion.
Brogden, Matthew.

Estimation of the Physical Properties of Corroding Rebar in Reinforced Concrete Using Biot-Stoll Model Inversion. - 1 online resource (129 pages)

Source: Masters Abstracts International, Volume: 84-02.

Thesis (M.S.)--Florida Atlantic University, 2022.

Includes bibliographical references

The detection of rebar corrosion in reinforced concrete is important due to the high costs of corrosion related damages to infrastructure. One such method of rebar corrosion lies in the use of non-destructive ultrasonic testing. To date, acoustic methods require either the training of an artificial neural network or a theory of acoustic wave propagation. Using a more complete acoustic model such as the Biot-Stoll model avoids algorithm training requirements by directly modeling the acoustic environment. A problem with this method lies in the complexity of the model and the selection of free parameters. The problem of parameter selection is addressed by a series of targeted measurements using ultrasonic transducers on a set of existing reinforced concrete samples placed in a saltwater solution. This data can then be analyzed by a non-linear least squares solver to produce a better fit for the acoustic signal.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798841797227Subjects--Topical Terms:

660731
Ocean engineering.
Subjects--Index Terms:

Biot-stoll modelIndex Terms--Genre/Form:

542853
Electronic books.

Estimation of the Physical Properties of Corroding Rebar in Reinforced Concrete Using Biot-Stoll Model Inversion.
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100 1 $a Brogden, Matthew. $3 3695294
245 1 0 $a Estimation of the Physical Properties of Corroding Rebar in Reinforced Concrete Using Biot-Stoll Model Inversion.
264 0 $c 2022
300 $a 1 online resource (129 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Masters Abstracts International, Volume: 84-02.
500 $a Advisor: Beaujean, Pierre-Philippe.
502 $a Thesis (M.S.)--Florida Atlantic University, 2022.
504 $a Includes bibliographical references
520 $a The detection of rebar corrosion in reinforced concrete is important due to the high costs of corrosion related damages to infrastructure. One such method of rebar corrosion lies in the use of non-destructive ultrasonic testing. To date, acoustic methods require either the training of an artificial neural network or a theory of acoustic wave propagation. Using a more complete acoustic model such as the Biot-Stoll model avoids algorithm training requirements by directly modeling the acoustic environment. A problem with this method lies in the complexity of the model and the selection of free parameters. The problem of parameter selection is addressed by a series of targeted measurements using ultrasonic transducers on a set of existing reinforced concrete samples placed in a saltwater solution. This data can then be analyzed by a non-linear least squares solver to produce a better fit for the acoustic signal.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Ocean engineering. $3 660731
650 4 $a Acoustics. $3 879105
653 $a Biot-stoll model
653 $a Rebar corrosion
653 $a Ultrasonics
653 $a Saltwater solution
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0547
690 $a 0986
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Florida Atlantic University. $b Ocean Engineering. $3 3173823
773 0 $t Masters Abstracts International $g 84-02.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29327619 $z click for full text (PQDT)