The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
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Cites
Equation of State Calculations by Fast Computing Machines
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Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
Stochastic Finite Elements: A Spectral Approach
Ghanem, R., & Spanos, P. D. (1991) · Springer eBooks · doi:10.1007/978-1-4612-3094-6 · Cited by 5,851
Simulation and the Monte Carlo Method
Rubinstein, R. Y., & Kroese, D. P. (2007) · Wiley Series in Probability and Statistics · doi:10.1002/9780470230381 · Cited by 2,454
Structural Reliability Methods
Ditlevsen, O., & Madsen, H. O. (1996) · Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) · Cited by 2,193
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
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(1998) · Spoken Language System and Corpus Design · doi:10.1515/9783110809817.1 · Cited by 1,488
A fast and efficient response surface approach for structural reliability problems
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Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
Bichon, B. J., Eldred, M., Swiler, L. P., Mahadevan, S., & McFarland, J. M. (2008) · AIAA Journal · doi:10.2514/1.34321 · Cited by 1,183
Cited by
Zio, E. (2018) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2018.04.020 · Cited by 401
Self-citationMachine learning-based methods in structural reliability analysis: A review
Saraygord Afshari, S., Enayatollahi, F., Xu, X., & Liang, X. (2022) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.108223 · Cited by 365
Metadata
- Authors
- Cadini, F., Santos, F., & Zio, E.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 131
- Pages
- 109-117
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W1978031052
- Cited by
- 277
- References
- 29
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cadini, F., Santos, F., & Zio, E. (2014). An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2014.06.023
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.