DETERMINATION OF CRACK LOCATION IN BEAMS USING NATURAL FREQUENCIES

By Shirish Chinchalkar. 2001

202 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/f3dac608894952c1f3ac2ed731543eb401be7361

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. P. Baragatti
2. F. Chu
3. Stephen A. Billings
4. Ugo Andreaus
5. Z. Lang
6. Zhike Peng

In Computer Vision and Pattern Recognition

1. P. Baragatti
2. Ugo Andreaus
3. Z. Lang
4. Zhike Peng

In Mechanical Engineering

1. P. Baragatti
2. Stephen A. Billings
3. Ugo Andreaus
4. Z. Lang
5. Zhike Peng

Citations in the corpus

• Crack detection using nonlinear output frequency response functions - an experimental study (2006, background): “Linear approaches detect the presence of cracks in a target object by monitoring changes in the resonant frequencies [1,2], in the mode shapes [3–5] or in the damping factors [6,7].”
• Numerical analysis of cracked beams using nonlinear output frequency response functions (2008, background): “In the case shown in Table 1, this range of x is [ 1,1].”
• Cracked beam identification by numerically analysing the nonlinear behaviour of the harmonically forced response (2011, background): “By linear approaches the presences of cracks in a target object are detected through the monitoring of changes in resonant frequencies [5] or in damping factors [6] or in mode shapes [7].”