A Bayesian Approach to Identifying Structural Nonlinearity using Free-Decay Response: Application to Damage Detection in Composites

By J. Nichols, W. Link, K. D. Murphy, Colin C. Olson. 2010

74 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ee64553f2088eae7ec81bcda054c719042d49d7e

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. Oral Büyüköztürk
2. Hao Sun
3. Edward Z Moore
4. J. Nichols
5. K. D. Murphy
6. Denvid Lau

In Mechanics of Materials

1. Oral Büyüköztürk
2. Hao Sun
3. Edward Z Moore
4. J. Nichols
5. K. D. Murphy
6. Haim Waisman

In Statistics and Probability

1. Hao Sun
2. Oral Büyüköztürk
3. J. Nichols
4. K. D. Murphy

Citations in the corpus

• Bayesian identification of a cracked plate using a population-based Markov Chain Monte Carlo method (2011, methodology): “5 (see [19] for a more thorough discussion and for sample code).”
• Probabilistic updating of building models using incomplete modal data (2016, methodology): “[34] applied the MCMC to sample the posterior parameter distributions of nonlinear structural systems and extended this approach to damage detection of composites.”