Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems
K Lu, Y Jin, Y Chen, Y Yang, L Hou, Z Zhang… - … Systems and Signal …, 2019 - Elsevier
This paper presents a review of proper orthogonal decomposition (POD) methods for order
reduction in a variety of research areas. The historical development and basic mathematical …
reduction in a variety of research areas. The historical development and basic mathematical …
Modeling, analysis, and optimization under uncertainties: a review
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …
has been an active area of research due to its evident advantages over deterministic design …
Predicted efficiency of a low-temperature nanofluid-based direct absorption solar collector
Due to its renewable and nonpolluting nature, solar energy is often used in applications
such as electricity generation, thermal heating, and chemical processing. The most cost …
such as electricity generation, thermal heating, and chemical processing. The most cost …
A survey on approaches for reliability-based optimization
MA Valdebenito, GI Schuëller - Structural and Multidisciplinary …, 2010 - Springer
Reliability-based Optimization is a most appropriate and advantageous methodology for
structural design. Its main feature is that it allows determining the best design solution (with …
structural design. Its main feature is that it allows determining the best design solution (with …
Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method
The structural reliability analysis is typically based on a model that describes the response,
such as maximum deformation or stress, as a function of several random variables. In …
such as maximum deformation or stress, as a function of several random variables. In …
A comparative study of uncertainty propagation methods for black-box-type problems
A wide variety of uncertainty propagation methods exist in literature; however, there is a lack
of good understanding of their relative merits. In this paper, a comparative study on the …
of good understanding of their relative merits. In this paper, a comparative study on the …
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 …
requires the establishment of accurate parametric probability distribution functions using …
Sensitivity and dynamic analysis of train-bridge coupled system with multiple random factors
X Liu, L Jiang, Z Lai, P Xiang, Y Chen - Engineering Structures, 2020 - Elsevier
The train-bridge system is complex and presents many random factors, including stochastic
track irregularities as well as random parameters of bridge and train. Moreover, the entire …
track irregularities as well as random parameters of bridge and train. Moreover, the entire …
A nested extreme response surface approach for time-dependent reliability-based design optimization
A primary concern in practical engineering design is ensuring high system reliability
throughout a product's lifecycle, which is subject to time-variant operating conditions and …
throughout a product's lifecycle, which is subject to time-variant operating conditions and …
A survey of computational intelligence techniques for wind power uncertainty quantification in smart grids
The high penetration level of renewable energy is thought to be one of the basic
characteristics of future smart grids. Wind power, as one of the most increasing renewable …
characteristics of future smart grids. Wind power, as one of the most increasing renewable …