A Frequency and Curvature Based Experimental Method for Locating Damage in Structures

By C. Ratcliffe. 2000

216 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/703d7c8b248bf3c6db66ef5899c80f7a4553799c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. J. J. Moughty
2. J. Rius
3. Masoud Sanayei
4. Alireza Rahai
5. Firooz Bakhtiari-Nejad
6. A. Esfandiari

In Mechanics of Materials

1. J. J. Moughty
2. J. Rius
3. Masoud Sanayei
4. Alireza Rahai
5. Firooz Bakhtiari-Nejad
6. A. Esfandiari

Citations in the corpus

• A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions (2017, background): “…of concentrated vibration amplitude irregularities to detect and locate damage, as other authors have successfully achieved [152,153], while others focused on the variation of deformed shape curvatures to detect damage [154–156], the latter using a cubic polynomial to represent curvatures.”
• Finite Element Model Updating Using Frequency Response Function of Incomplete Strain Data (2010, methodology): “Colin and Ratcliffe [22] used measured FRFs to obtain displacement as a function of frequency and convert it to curvature functions, which was further processed to yield a damage index.”