Acoustic Emission Mechanism and Source Modeling of Dynamic Crack Detection in Steel Structure

نویسندگان

  • Li LI
  • Ji LI
  • Baojia CHEN
چکیده

Cracks are dangerous and frequently observed defects in steel structures. Therefore, the understanding of the mechanism of crack is very important to structure safety. Although the mechanism of static crack has been widely studied by researchers, the mechanism of dynamic crack has been left out and seldom been discussed. In this paper, a modeling method for acoustic emission (AE) source of dynamic crack was proposed for the mechanism revelation. In the method, AE signal was related to crack stress based on the theory of elasto-dynamics; the crack stress was inversely modeled from AE signal by employing half-space Green’s function and de-convolution procedure. When the method was applied to an AE testing for dynamic crack in steel structure, AE source function representing the time history of crack stress was obtained. The crack stress was found to be a step-like function with a pulse, and with it the mechanism and transient dynamic process of crack growth (crack initiation and propagation) was recovered. The results indicated that, the modeling method is effective for the study on the mechanism of dynamic crack. Copyright © 2013 IFSA.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On the Use of Acoustic Emission and Digital Image Correlation for Welded Joints Damage Characterization

A series of tests have been conducted to investigate fatigue damage characterization in corroded welded steel plates using structural health monitoring (SHM) techniques. Acoustic Emission (AE) is a non-destructive testing (NDT) technique with potential applications for locating and monitoring fatigue cracks in service. In the present work, AE is implemented to characterize damage during crack e...

متن کامل

Steel Bridge Fatigue Crack Detection with Piezoelectric Wafer Active Sensors

Piezoelectric wafer active sensors (PWAS) are well known for its dual capabilities in structural health monitoring, acting as either actuators or sensors. Due to the variety of deterioration sources and locations of bridge defects, there is currently no single method that can detect and address the potential sources globally. In our research, our use of the PWAS based sensing has the novelty of...

متن کامل

Dynamic and Quasi-Static Tensile Properties of Structural S400 Steel

The study of mechanical behavior of the structural steel S400 under quasi- static and dynamic loading has been the subject of this investigation. In oder to obtain different stress - triaxiality conditions the specimens were notched with 1, 1.5, 2 and 3.5 mm notch radius. The results of fractography show as the velocity of tension increases, ductility reduces and a ductile-brittle transition oc...

متن کامل

Acoustic Emission Crack Detection in Injection Molding

This paper presents the experimental results regarding acoustic emission signals measured during the injection molding of those standard test specimens commonly used for examining the shrinkage behaviour of various thermoplastic materials. In daily industrial production of different plastic products we often have to deal with various errors that practically occur on the mold primarily as a resu...

متن کامل

Characterization of Microstructures in Metallic Materials using Static and Dynamic Acoustic Signal Processing Techniques

In this paper, application of ultrasonic techniques for defect detection in weldments of austenitic stainless steel and maraging steel is discussed. Applications of ultrasonic techniques for characterizing microstructural changes in AISI type 316 stainless steel and modified 9Cr-1Mo ferritic steel; thermomechanical processing of 15Cr-15Ni-2.3Mo-titanium modified austenitic stainless steel (allo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014