Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review

C Jiang, J Zheng, X Han - Structural and Multidisciplinary Optimization, 2018 - Springer
Traditional structural uncertainty analysis is mainly based on probability models and
requires the establishment of accurate parametric probability distribution functions using …

Optimal electrification planning incorporating on-and off-grid technologies: the Reference Electrification Model (REM)

P Ciller, D Ellman, C Vergara… - Proceedings of the …, 2019 - ieeexplore.ieee.org
In many parts of the world, access to basic electricity services remains a significant
challenge. The status quo mode of electrification is central grid extension; however, in many …

Random and multi-super-ellipsoidal variables hybrid reliability analysis based on a novel active learning Kriging model

L Hong, H Li, N Gao, J Fu, K Peng - Computer methods in applied …, 2021 - Elsevier
In this paper, based on the Kriging, an efficient minimum limit-state-surface search strategy
is proposed for hybrid reliability analysis with both random and multi-super-ellipsoidal …

An efficient reliability analysis approach for structure based on probability and probability box models

X Liu, L Yin, L Hu, Z Zhang - Structural and Multidisciplinary Optimization, 2017 - Springer
In this paper, a new reliability analysis method for engineering structures is developed
based on probability and probability box (p-box) models. Random variable distributions are …

The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model

X Liu, Q Fu, N Ye, L Yin - Structural Safety, 2019 - Elsevier
A multi-objective reliability-based design optimization method is proposed based on
probabilistic and ellipsoidal convex hybrid model. With reliability index as the constraint, a …

An efficient multi-objective optimization method for uncertain structures based on ellipsoidal convex model

X Liu, X Wang, L Sun, Z Zhou - Structural and Multidisciplinary …, 2019 - Springer
Compared with the interval model, the ellipsoidal convex model can describe the correlation
of the uncertain parameters through a multidimensional ellipsoid, and whereby excludes …

Multi-objective uncertain optimization with an ellipsoid-based model of a centrally symmetrical square tube with diaphragms for subways

P Xu, D Wang, S Yao, K Xu, H Zhao, S Wang… - Structural and …, 2021 - Springer
Deterministic optimization has been successfully applied to a series of design problems of
square thin-walled energy absorption tubes and to a certain extent has fulfilled great …

An efficient hybrid reliability analysis method for structures involving random and interval variables

W Wang, H Xue, T Kong - Structural and Multidisciplinary Optimization, 2020 - Springer
This paper presents a hybrid reliability analysis method for structures involving random and
interval variables. Firstly, the original performance function is approximated as the product of …

Optimizing off-grid generation in large-scale electrification-planning problems: A direct-search approach

P Ciller, F de Cuadra, S Lumbreras - Energies, 2019 - mdpi.com
Off-grid systems play a prominent role in rural electrification planning. The problem of
optimizing the generation design of a single off-grid system has received a significant …

Computer-aided electrification planning in developing countries: The Reference Electrification Model (REM)

R Amatya, MF Barbar, M Brusnahan, P Ciller Cutillas… - 2019 - repositorio.comillas.edu
In many parts of the world, access to basic electricity services remains a significant
challenge. The status quo mode of electrification is central grid extension; however, in many …