Investigation on damage identification in a pipe using torsional guided waves

Rojas, E.; Baltazar, Arturo; Treesatayapun, Chidentree

doi:10.1063/1.4974586

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…For the L(0,2) mode the reflection from defects has been evaluated as a function of defect depth, axial and circumferential extent and of excitation frequency [36]. Likewise the interaction of the T(0,1) mode with pipe defects [37] such as cracks and notches [38] and holes [39]. The presence and axial locations of defects can thus be determined by analysing these reflections and their time of arrival.…”

Section: Guided Wave Propagation and Reflectionsmentioning

confidence: 99%

Pipeline Health Monitoring to Optimise Plant Efficiency

Dhutti¹,

Gan²

2019

Power Plants in the Industry

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This chapter presents technological innovations that support asset integrity management-a crucial activity for optimising plant efficiency. In ageing thermal and geothermal power plants, critical assets such as steam piping are subject to high pressures and temperatures that accelerate damage mechanisms. Traditionally, the critical locations of these assets undergo routine inspection which is both costly and time consuming and affects the plant reliability and energy availability. There is an increasing trend in the application of non-destructive testing (NDT) and information technologies to in-service monitoring of these assets. The aim of this chapter is to provide a comprehensive overview of the state-of-the-art monitoring technologies for steamlines, with a focus on high temperature ultrasonic guided wave techniques. The enabling technologies, which include high temperature sensors, diagnostic data analysis algorithms and their monitoring performances, are reviewed. These technological advancements enable inspection without interruption of plant operations, and provide diagnosis and prognosis data for condition-based maintenance, increasing plant safety and its operational efficiency.

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Section: Guided Wave Propagation and Reflectionsmentioning

confidence: 99%

Pipeline Health Monitoring to Optimise Plant Efficiency

Dhutti¹,

Gan²

2019

Power Plants in the Industry

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“…Since the initial developments of GWT of pipes in late 1990s, several studies have been carried out to understand the interaction of T(0,1) and L(0,2) guided wave modes with pipe features (flanges and pipe supports) [37] and defects [35], and the effect of different defect characteristics and excitation frequencies has also been reported [38,39]. This has led to definitions and standards for GWT instrumentation, data collection and analysis in ISO 18211:2016 [40].…”

Section: Guided Wave Inspectionmentioning

confidence: 99%

Monitoring of Critical Metallic Assets in Oil and Gas Industry Using Ultrasonic Guided Waves

Dhutti¹,

Lowe²,

Gan³

2019

Advances in Structural Health Monitoring

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This chapter presents advancements in structural health monitoring (SHM) using ultrasonic guided waves (UGW) technology for metallic structures to support their integrity and maintenance management. The focus is on pipelines and storage tanks, which are critical assets in the Oil and Gas industry, whose operational conditions can greatly accelerate damage mechanisms. Conventional routine inspections are both costly and time consuming and affect the plant reliability and availability. These operational and economic disadvantages have led to development of SHM systems which can be permanently installed on these critical structures to provide information about developing damage and optimise maintenance planning and ensure structural integrity. These technology advancements enable inspection without interruption to operations, and generate diagnosis and prognosis data for condition-based maintenance, hence increasing safety and operational efficiency. The fundamentals, architecture and development of such SHM systems for pipes and above ground storage tanks are described here.

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Section: Figurementioning

confidence: 99%

“…Several analytical models had been established for the estimation of mechanical tensile performance of yarns. The tensile behavior of yarn, using force method, was first studied 90 years ago, which was then extended to examine the mechanical behavior of continuous filament yarns [39,40]. Other than force method, energy method was used to study the continuous filament and to predict the whole stressstrain behavior in Tenasco yarn which was first proposed by Treloar and Riding [41].…”

Section: Introductionmentioning

confidence: 99%

Advances in Structural Health Monitoring

Hassan¹

2019

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Providing the best availability of aircrafts is a key driver in aeronautics industry. Monitoring system able to detect signs of failure before they happen, thanks to sensors and diagnosis/prognosis algorithms, is key for improving aircraft operability. Since a suspension system is connecting the engine to the aircraft, after hard landing, aircraft companies need to know if the suspension system is safe or could have been damaged. This chapter presents an autonomous wireless load sensing recorder development that will enable maintenance operators to make a relevant diagnosis of the suspension system by measuring the load level seen after a hard landing by connecting a portable device near the embedded sensor system. The sensor integrates energy harvesting and RFID communication modules that have been developed for this application. Data acquisition is performed by an embedded microcontroller connected to sensors. The paper is firstly dedicated to the different energy sources available in the project application (engine pods). The second part gives a presentation of the various devices developed for converting ambient energy into electric power and SHM system. The last part presents real measurement of ambient energy level from real tests in comparison to the energy needed to power the system.

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Investigation on damage identification in a pipe using torsional guided waves

Cited by 6 publications

References 10 publications

Pipeline Health Monitoring to Optimise Plant Efficiency

Pipeline Health Monitoring to Optimise Plant Efficiency

Monitoring of Critical Metallic Assets in Oil and Gas Industry Using Ultrasonic Guided Waves

Advances in Structural Health Monitoring

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