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A baseline-free fatigue crack detection approach in orthotropic steel deck using ultrasonic guided waves

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A baseline-free methodology utilizing ultrasonic guided waves based on adjacent signal difference coefficients (ASDC) is developed for fatigue cracks detection in orthotropic steel deck in this paper. The crack detection tests are conducted on a test orthotropic steel deck with cracks added under welded stiffeners in advance. Two different cases, i.e. the crack far away from the floorbeam and the crack under the intersection of longitudinal trapezoidal rib and floorbeam have been tested. Locations and lengths of fatigue cracks can be obtained from the adjacent signal difference coefficients. The results show that the proposed baseline-free ultrasonic guided wave method detects and estimates the locations and lengths of the cracks correctly for all cases. This indicates that the proposed baseline-free fatigue crack detection approach has the potential to be applied to the crack detection in actual orthotropic steel decks.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages1955-1962
Number of pages8
ISBN (Electronic)9781605956015
DOIs
StatePublished - 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: 10 Sep 201912 Sep 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume2

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUnited States
CityStanford
Period10/09/1912/09/19

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