20092018
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Chaos theory Engineering & Materials Science
chaos Physics & Astronomy
polynomials Physics & Astronomy
Polynomials Engineering & Materials Science
expansion Physics & Astronomy
Structural dynamics Engineering & Materials Science
Markov processes Engineering & Materials Science
Sampling Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2018

  • 16 Article
  • 4 Conference contribution

A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions

Alemazkoor, N. & Meidani, H., Oct 15 2018, In : Journal of Computational Physics. 371, p. 137-151 15 p.

Research output: Contribution to journalArticle

Chaos theory
chaos
polynomials
recovery
sampling

A preconditioning approach for improved estimation of sparse polynomial chaos expansions

Alemazkoor, N. & Meidani, H., Dec 1 2018, In : Computer Methods in Applied Mechanics and Engineering. 342, p. 474-489 16 p.

Research output: Contribution to journalArticle

preconditioning
incoherence
Chaos theory
chaos
polynomials

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

Nabian, M. A. & Meidani, H., Jun 1 2018, In : Computer-Aided Civil and Infrastructure Engineering. 33, 6, p. 443-458 16 p.

Research output: Contribution to journalArticle

Reliability analysis
Disasters
Earthquakes
Classifiers
Recovery

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory

Wu, X., Kozlowski, T., Meidani, H. & Shirvan, K., Aug 15 2018, In : Nuclear Engineering and Design. 335, p. 339-355 17 p.

Research output: Contribution to journalArticle

formulations
design analysis
Bayesian analysis
nuclear reactors
prediction
Probability distributions
Uncertainty
test
Void fraction
self assessment