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Recommended Texts and References

This page lists commonly used references for reliability methods and probabilistic analysis.

  • Ang, A. H.-S., and Tang, W. H. (2007). Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (2nd ed.). John Wiley and Sons.
  • Der Kiureghian, A. (2022). Structural and System Reliability. Cambridge University Press.
  • Robert, Christian P., and Casella, George. (2004). Monte Carlo Statistical Methods. Springer New York.
  • Sorensen, John Dalsgaard. (2004). Notes in Structural Reliability Theory and Risk Analysis. Aalborg, February 2004. ->

Additional References Used in Documentation

These references are cited in worked examples, method notes, and profile options across the documentation.

Analysis and Simulation Examples

  • Au, S. K., and Beck, J. L. (1999). A new adaptive importance sampling scheme for reliability calculations. ->
  • Chan, C. L., and Low, B. K. (2011/2012). Practical second-order reliability analysis applied to foundation engineering. ->

Reliability-Based Design

  • Hu, Z., and Du, X. (2018). Efficient reliability-based design with second-order approximations. Engineering Optimization, 50(1), 101-119. ->
  • Ji, B., Kodikara, J. K., and Li, H. (2024). Robust reliability-based design approach by inverse FORM with adaptive conjugate search algorithm. ->
  • Sorensen, John Dalsgaard. (2004). Notes in Structural Reliability Theory and Risk Analysis. Aalborg, February 2004. ->

SORM and Approximation Methods

  • Breitung, K. (1984). Asymptotic approximations for multinormal integrals. ->
  • Der Kiureghian, A., Lin, H.-Z., and Hwang, S.-J. (1987). Second-order reliability approximations. ->
  • Du, X., and Sudjianto, A. (2004). A saddlepoint approximation method for uncertainty analysis. ->
  • Hohenbichler, M., and Rackwitz, R. (1988). Improvement of second-order reliability estimates by importance sampling. ->
  • Hu, Z., and Du, X. (2018). Saddlepoint approximation reliability method for quadratic functions in normal variables. ->
  • Koyluoglu, H. U., and Nielsen, S. R. K. (1994). New approximations for SORM integrals. ->
  • Tvedt, L. (1990). Distribution of quadratic forms in normal space: application to structural reliability. ->
  • Zhao, Y.-G., and Ono, T. (1999a). New approximations for SORM: Part 1. ->
  • Zhao, Y.-G., and Ono, T. (1999b). New approximations for SORM: Part 2. ->

Reliability Sensitivity and MCMC

  • Cotter, S. L., Roberts, G. O., Stuart, A. M., and White, D. (2013). MCMC methods for functions: modifying old algorithms to make them faster. ->
  • Roberts, G. O., and Rosenthal, J. S. (2007). Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms. ->
  • Xiao, S., and Nowak, W. (2022). Reliability sensitivity analysis based on a two-stage Markov chain Monte Carlo simulation. ->

Correlation Matrix Conditioning

  • Rebonato, R., and Jaeckel, P. (2011). The most general methodology to create a valid correlation matrix for risk management and option pricing purposes. -> (DOI)

For software package citations and dependency-level references, see the Software References pages in the documentation.