An invariance transformation algorithm for defect characterization of ultrasonic signals for the nondestructive evaluation of concrete
نویسنده
چکیده
Michael Dominic Ciocco An invariance transformation algorithm for defect characterization of ultrasonic signals for the nondestructive evaluation of concrete 2002 Dr. Shreekanth Mandayam College of Engineering Nondestructive evaluation (NDE) techniques offer cost-effective strategies for monitoring the integrity of a variety of civil infrastructure, such as natural gas and sewer pipelines, without the need to take the system off-line. However, interpretation of NDE signals in terms of the location, size, and shape of underlying flaws in the material being inspected is fraught with difficulty. Typically, variations in the testing signal due to operational parameters have created a significant challenge for defect characterization. This thesis proposes, develops, and validates a defect characterization algorithm that compensates for operational variables and maps the test signal to a visual defect profile. This algorithm takes a two-step approach: 1. The raw NDT signal is processed via an invariance transformation feed forward artificial neural network that removes the effects of operational parameters and produces a signal containing defect related information only. 2. A second feed forward artificial neural network processes the defect signature developed by the invariance transformation network and predicts defect profiles representing the location, size, and shape of material flaws. The algorithm is validated with experimental data from two separate NDT sources, magnetic flux leakage (MFL) testing of metal gas pipeline specimens and ultrasonic testing (UT) of concrete wastewater pipeline speciments. A selection of three papers is provided describing the invariant defect characterization technique. The results obtained demonstrate that the invariance transformation technique can be used to accurately characterize the depth of defects in concrete or metal, irrespective of variations in the material properties of the test specimens. Recommendations for future research related to this technique are also provided. MINI ABSTRACT Michael Dominic Ciocco An invariance transformation algorithm for defect characterization of ultrasonic signals for the nondestructive evaluation of concrete 2002 Dr. Shreekanth Mandayam College of Engineering Nondestructive evaluation methods offer cost-effective approaches for examining the integrity of a variety of civil infrastructure such as natural gas and sewer pipelines. However, extracting defect related information, such as location, size, and shape of a flaw, from NDE signals remains a considerable challenge as a result of variations in the signal due to material properties and the testing environment. This thesis presents a defect characterization technique that renders NDE signals invariant to operational parameters and predicts a defect profile from the flaw information in the signal.
منابع مشابه
Estimation of mechanical and durability properties of self-compacting concrete with fibers using ultrasonic pulse velocity
In this research, the performance of ultrasonic pulse velocity (UPV) in concrete is examined as a nondestructive experiment in order to estimate mechanical (compressive and tensile strength) and durability (water absorption) properties of fiber-reinforced self-compacted concrete For this purpose 11 mixture designs containing 3 types of fibers (steel: 0.1, 0.2, 0.3 and 0.4 percent by volume, Pol...
متن کاملConcrete Bridge Deck Condition Assessment Using Robotic System Rabit
Development and implementation of RABIT (Robotics Assisted Bridge Inspection Tool) in condition assessment concrete bridge decks is described. The system uses multiple nondestructive evaluation (NDE) technologies in characterization of three most common deterioration types: rebar corrosion, delamination, and concrete degradation. The system implements four NDE technologies: electrical resistivi...
متن کاملA fuzzy approach to the evaluation of human factors in ultrasonic nondestructive examinations
Human factors are among the main elements affecting the reliability of nondestructive examinations (NDE). In a man-machine system, human reliability is affected by many factors (performance shaping factors) whose influence on reliability cannot be easily expressed quantitatively. This paper identifies and ranks 59 perform-ance shaping factors by using a fuzzy reasoning method and proposes a pro...
متن کاملPhased array ultrasonic imaging using an improved beamforming based total focusing method for non destructive test
One of the novel ultrasonic phased array based scanning methods for ultrasonic imaging in non-destructive test is total focusing method (TFM). This method employs maximum available information of the phased array elements and leads to an improved defect detection accuracy compared to conventional scanning methods. Despite its high detection accuracy, TFM behaves weak in distinguishing the real ...
متن کاملPhased array ultrasonic imaging using an improved beamforming based total focusing method for non destructive test
One of the novel ultrasonic phased array based scanning methods for ultrasonic imaging in non-destructive test is total focusing method (TFM). This method employs maximum available information of the phased array elements and leads to an improved defect detection accuracy compared to conventional scanning methods. Despite its high detection accuracy, TFM behaves weak in distinguishing the real ...
متن کامل