Earthquake risk assessment of building structures
By B. Ellingwood. Reliability Engineering & System Safety, 2001
363 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/592811947041a5676df248f806563aa4d170fab4
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
- Marcos A. Valdebenito
- Gerhart I. Schuëller
- Paolo Gardoni
- Mark G. Stewart
- Chu V. Mai
- Michael Havbro Faber
- Bruno Sudret
- Terje Haukaas
In Environmental Engineering
- Mark G. Stewart
- Gerhart I. Schuëller
- Chu V. Mai
- Marcos A. Valdebenito
- Paolo Gardoni
- Michael Havbro Faber
- Bruno Sudret
- Terje Haukaas
In Statistics and Probability
- Marcos A. Valdebenito
- Gerhart I. Schuëller
- Mark G. Stewart
- Chu V. Mai
- Paolo Gardoni
- Michael Havbro Faber
- Bruno Sudret
- Terje Haukaas
Citations in the corpus
- Seismic fragility curves for structures using non-parametric representations (2017, methodology): “The typical approach to compute analytical fragility curves presumes that the 75 curves have the shape of a lognormal cumulative distribution function [21,22].”
- A survey on approaches for reliability-based optimization (2010, methodology): “…practical applications, as in applications of RBO, it is usually necessary to deal with the particulars of the underlying physical problem, see e.g. Ellingwood (2001); Hellevik et al (1999); Madsen et al 3 (1991); Moan and Song (2000); Petryna and Krätzig (2005); similarly, aspects on parallel…”
- Model Uncertainty in Finite-Element Analysis: Bayesian Finite Elements (2011, methodology): “The details of this procedure are presented in Gardoni et al. (2002), and readers may also find the general methodology in Box and Tiao (1992) useful.”
- Risk assessment for civil engineering facilities: critical overview and discussion (2003, background): “The widespread adoption of the JCSS Probabilistic Model Code [11] or other standardized probabilistic guidelines or databases would also greatly reduce the scope for analystto-analyst variability, again leading to more credible risk analyses.”