Crack Modeling for Structural Health Monitoring

By Michael I. Friswell, J. Penny. 2002

283 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/08eaf0eafa7667ada7f26edd54674f24b595c81f

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. Zhike Peng
2. F. Chu
3. Z. Lang
4. Alessandro Palmeri
5. A. Cicirello
6. W. Heylen
7. Yao Yao
8. Viviana Meruane

In Mechanics of Materials

1. F. Chu
2. Z. Lang
3. Zhike Peng
4. Alessandro Palmeri
5. A. Cicirello
6. W. Heylen
7. Yao Yao
8. Viviana Meruane

Citations in the corpus

• Physically-based Dirac’s delta functions in the static analysis of multi-cracked Euler–Bernoulli and Timoshenko beams (2011, methodology): “According to the classification by Friswell and Penny (2002), the proposed approach falls in the broad category of “discrete spring models”, being equivalent to an internal hinge coupled with a linear elastic spring, which is herein assumed to have constant rigidity independently of the loading…”
• Numerical analysis of cracked beams using nonlinear output frequency response functions (2008, methodology): “Moreover, although the damping is definitely affected by the presence of crack, as widely used in the cracked beam analysis [13,17], the damping is still assumed to be proportional to the stiffness and not affected by the crack.”
• An hybrid real genetic algorithm to detect structural damage using modal properties (2011, background): “Although thismodel has problems inmatching damage severity to crack depth and is affected by mesh density, Friswell and Penny [46] demonstrated that at low frequencies this method can correctly model a crack.”
• Crack detection and characterization techniques—An overview (2014, background): “Friswell and Penny [56] made a review paper about crack modeling in beam structures.”
• Damage identification using inverse methods (2007, background): “Friswell & Penny (2002) compared several of the simple crack models that may be used for health monitoring, for both linear and nonlinear responses.”