Proactive and Hybrid Sensing based Inline Pipeline Defects Diagnosis and Prognosis

Main Objective

This project will support the development of a new form of hybrid sensing technique, thermoelectromagnetic-acoustic (TEA) method that can identify and characterize injurious pipe body proactively with superior resolution and high sensitivity. The detection results from the proposed advanced nondestructive evaluation (NDE) sensing methodology are further integrated with probabilistic methods and mechanical analysis for the accurate time-dependent reliability analysis. An information fusion framework integrating the residual strength calculation, uncertainty quantification and propagation analysis, and Bayesian updating is proposed for the accurate pipeline reliability evaluation and risk assessment using NDE testing results. If successful, the pipeline failure can be significantly reduced by this innovative pipeline defects diagnosis and prognosis approach.

Public Abstract

Pipeline infrastructure is critical for the recovering of U.S. economy and our standard of living. To maintain the safety of pipeline systems is important to ensure society's industrial and economic prosperity but remains challenging. There are many pipe materials that are in use, such as steels, cast iron or plastics like Polyamide (PA) and Polyethylene (PE) that are generally considered to be prone to failure, and as the current aging infrastructure is phased out, there is considerable interest in development of advanced sensor technologies for material loss and properties change detection in a range of pipeline materials including both metals and plastics. Although numerous methods have been developed to identify, characterize and evaluate material loss anomalies based on electromagnetic and sonic based fundamental laws over the past two decades, development of higher resolution geometry tools and combination sensors yield more robust capability to detect and better characterize anomalies are still in its infancy and are imperatively demanded.

Final Report

CAAP13 Diagnosis and Prognosis Final Report CU ASU Dec2015

CAAP13_Diagnosis_and_Prognosis_Final_Report_CU_ASU_Dec2015.pdf (3,948,435 bytes) [View] [Download/Save...]

Other Files

Closeout briefing 11.10.2015

CAAP_Project_De-Brief_Presentation_CUDenver_ASU_Full_length_FINAL_(2).pdf (6,897,951 bytes) [View] [Download/Save...]

CAAP poster from R&D Forum August 2014

DOT_Chicago_2014_poster_v5-fin.pptx (3,145,480 bytes) [View] [Download/Save...]