Reliability-based design optimisation of structural systems using high-order analytical moments
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- @Article{RAJAN:2020:SS,
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author = "Arvind Rajan and Fu Jia Luo and Ye Chow Kuang and
Yu Bai and Melanie {Po-Leen Ooi}",
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title = "Reliability-based design optimisation of structural
systems using high-order analytical moments",
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journal = "Structural Safety",
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volume = "86",
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pages = "101970",
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year = "2020",
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ISSN = "0167-4730",
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DOI = "doi:10.1016/j.strusafe.2020.101970",
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URL = "http://www.sciencedirect.com/science/article/pii/S0167473020300497",
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keywords = "genetic algorithms, genetic programming, Method of
moments, Reliability, Optimisation, Structural design,
Maximum entropy",
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abstract = "Reliability-based design optimisation paradigm has
become increasingly popular to achieve economical yet
safer structural designs. However, within the iterative
optimisation procedure, it is a challenging problem to
simultaneously satisfy both, accuracy and computational
efficiency of reliability analysis, particularly for
nonlinear or large design problems. Addressing the
shortcomings of the mainstream reliability estimation
methods, this paper presents a new reliability-based
design optimisation method that combines an analytical
high-order moment-based uncertainty evaluation with an
efficient response surface modelling. The proposed
framework allows for the precise calculation of
reliability through accurate high-order moments. The
fast and accurate reliability estimation in combination
with efficient sampling, in turn, reduces the total
number of finite element analysis in achieving the
final design. The proposed moment-based design
optimisation methodology was tested on problems ranging
from the design of a simple cantilever to a
three-dimensional multistorey steel structure. It
outperforms the mainstream methods with higher accuracy
and lower computational burden especially when applied
to a highly nonlinear numerical problem",
- }
Genetic Programming entries for
Arvind Rajan
Fu Jia Luo
Ye Chow Kuang
Yu Bai
Melanie Po-Leen Ooi
Citations