The University of Southampton
University of Southampton Institutional Repository

Identifying joints from measured reflection coefficients in beam-like structures with application to a pipe support

Zhang, Bing, Waters, Timothy P. and Mace, Brian R. (2010) Identifying joints from measured reflection coefficients in beam-like structures with application to a pipe support Mechanical Systems and Signal Processing, 24, (3), pp. 784-795. (doi:10.1016/j.ymssp.2009.10.023).

Record type: Article


The properties of joints in mechanical systems are notoriously uncertain causing corresponding uncertainty in the systems’ dynamic responses. A piping system is one such example where an accurate knowledge of joint properties is useful for the purposes of structure-borne sound transmission, fatigue considerations and structural health monitoring. This paper presents an inverse technique that is applicable to joint estimation in one-dimensional structures such as a pipe. Measured wave reflection coefficients are used which have several advantages over modal information. First, they characterise just the joint and adjacent pipes and are independent of the rest of the built-up system. Second, they are potentially more sensitive to the joint parameters in question than are modal parameters.
The method is illustrated by means of an experimental case study featuring a straight pipe suspended by a cantilevered hanger. The stiffness and inertia of the hanger are accurately identified from measured data at frequencies significantly higher than the fundamental modes of the structure

Full text not available from this repository.

More information

Published date: April 2010
Keywords: joints, pipe, model updating, waves, inverse problems
Organisations: Dynamics Group


Local EPrints ID: 79100
ISSN: 0888-3270
PURE UUID: b6b7a77f-cb0d-4afa-ad6a-679a8512e3c0

Catalogue record

Date deposited: 12 Mar 2010
Last modified: 18 Jul 2017 23:19

Export record


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.