Published March 2009 | Version v1
Journal article

Detection of the point of impact on a stiffened plate by the acoustic emission technique

  • 1. Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721 (United States)
  • 2. Air Force Research Laboratory, NDE Branch, Wright Patterson Air Force Base, Dayton, OH 45433 (United States)

Description

The applicability of guided waves to predict the point of impact in a stiffened plate is investigated. The conventional triangulation technique cannot predict the point of impact in a stiffened plate because the triangulation technique assumes that the wave speed is independent of the direction of propagation, which is not true for stiffened plates. An alternative method based on the optimization scheme was proposed by Kundu et al (2007 J. Acoust. Soc. Am. 122 2057–66) to locate the point of impact in plates by analyzing the time of arrival of the ultrasonic signals received by passive sensors attached to the plate. After successful extension of this technique to predict the point of impact in anisotropic but homogeneous composite plates (Kundu et al 2008 Ultrasonics 48 193–201) it is investigated in this paper whether this technique works well for predicting the point of impact in an inhomogeneous plate where the stiffeners make the structure inhomogeneous. Experiments are carried out by dropping ping pong and metal balls on the plate to simulate the impact phenomenon and recording acoustic signals by passive transducers adhesively bonded to the plate at three different locations. The impact points are predicted and compared with the actual locations of impact

Availability note (English)

Available from http://dx.doi.org/10.1088/0964-1726/18/3/035006

Additional details

Identifiers

DOI
10.1088/0964-1726/18/3/035006;
PII
S0964-1726(09)93349-3;

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
18
Journal Issue
3
Journal Page Range
[9 p.]
ISSN
0964-1726

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44091707
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ADHESIVES; ANISOTROPY; DETECTION; EMISSION; METALS; OPTIMIZATION; PLATES; SENSORS; SIGNALS; TRANSDUCERS; ULTRASONIC WAVES; VELOCITY
Descriptors DEC
ELEMENTS; SOUND WAVES