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Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2122-0
Abstract: This paper proposes a non-probabilistic robust design approach, based on optimization with anti-optimization, to handle unknown-but-bounded loading uncertainties in stress-constrained topology optimization. The objective of the proposed topology optimization problem is to find the lightest…
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Keywords:
non probabilistic;
topology;
topology optimization;
optimization ... See more keywords
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Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02697-y
Abstract: A new UBC-constrained (ultimate-bearing-capacity-constrained) non-probabilistic reliability-based optimization method for structures with uncertain-but-bounded parameters is proposed. Different from the traditional stress-constrained optimization, the ultimate bearing capacity (UBC) is taken as the constraints in the non-probabilistic reliability-based…
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Keywords:
reliability based;
based optimization;
non probabilistic;
optimization ... See more keywords
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Published in 2019 at "Computational Mechanics"
DOI: 10.1007/s00466-019-01683-6
Abstract: Composite materials have been widely applied to engineering fields by virtue of its superior mechanical properties. Therefore, the problem of composite laminates safety assessment has also been discussed. This paper develops the non-probabilistic interval model-based…
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Keywords:
interval model;
non probabilistic;
composite laminates;
model ... See more keywords
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Published in 2021 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-021-0112-4
Abstract: The reliability of boom crane structure determines the safety and performance of the whole machine. Due to the sample information of uncertain parameter is lacking, non-probabilistic reliability of boom crane structure under the condition of…
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Keywords:
time;
non probabilistic;
boom crane;
time dependent ... See more keywords
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Published in 2018 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2018.01.026
Abstract: Abstract Non-probabilistic convex model utilizes a convex set to quantify the uncertainty domain of uncertain-but-bounded parameters, which is very effective for structural uncertainty analysis with limited or poor-quality experimental data. To overcome the complexity and…
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Keywords:
discussions non;
convex models;
convex;
non probabilistic ... See more keywords
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Published in 2021 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.07.025
Abstract: Abstract In this paper, a general polygonal convex set model and clustering polygonal convex set model are proposed for more reasonably quantifying non-probabilistic uncertainties. Firstly, through the principal component analysis of uncertain samples, a new…
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Keywords:
non probabilistic;
set model;
polygonal convex;
convex set ... See more keywords
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Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.105389
Abstract: Abstract Various uncertainties, which are usually time-dependent, affect the reliability of complicated engineering systems seriously. Considering the fact that only limited sample data of the uncertain variables can be obtained in engineering practice during the…
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Keywords:
methodology;
time;
non probabilistic;
dependent reliability ... See more keywords
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Published in 2021 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2021.114051
Abstract: Abstract Non-probabilistic methods are usually more appropriate and feasible than probabilistic methods to quantify and propagate uncertainty with small samples in many engineering problems. However, some non-probabilistic methods are easily affected by an outlier in…
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Keywords:
uncertainty analysis;
analysis method;
uncertainty;
non probabilistic ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-67275-0
Abstract: In oddball paradigms, infrequent stimuli elicit larger P300 event related potentials (ERPs) than frequent ones. One hypothesis is that P300 modulations reflect the degree of “surprise” associated with unexpected stimuli. That is the P300 represents…
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Keywords:
probability;
probabilistic expectations;
target;
non probabilistic ... See more keywords
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Published in 2021 at "International Journal of Computational Methods"
DOI: 10.1142/s0219876221500389
Abstract: Most of the current non-probabilistic reliability methods are applicable for an individual component of a structure. However, a system consisting of interconnected components is involved in many engineering problems and its non-probabilistic reliability analysis remains…
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Keywords:
probabilistic reliability;
series structural;
non probabilistic;
failure ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24091209
Abstract: Uncertainties are normally unavoidable in engineering practice, which should be taken into account in the structural design and optimization so as to reduce the relevant risks. Yet, the probabilistic models of the uncertainties are often…
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Keywords:
non probabilistic;
multi;
reliability;
reliability analysis ... See more keywords