[HTML][HTML] A surrogate based multi-fidelity approach for robust design optimization

S Chakraborty, T Chatterjee, R Chowdhury… - Applied Mathematical …, 2017 - Elsevier
Robust design optimization (RDO) is a field of optimization in which certain measure of
robustness is sought against uncertainty. Unlike conventional optimization, the number of …

Reliability analysis of ovalized deep-water pipelines with corrosion defects

RS Motta, CF Leal, AD Ferreira, SMB Afonso… - Marine Structures, 2021 - Elsevier
The accurate assessment of the remaining strength of corroded pipes is a subject that has
been increasingly investigated over the past decades. This is because of the risk of …

An efficient procedure for structural reliability-based robust design optimization

RS Motta, SMB Afonso - Structural and Multidisciplinary Optimization, 2016 - Springer
This paper focuses on the development of an optimization tool with the aim to obtain robust
and reliable designs in short computational time. The robustness measures considered here …

An expanded sparse Bayesian learning method for polynomial chaos expansion

Y Zhou, Z Lu, K Cheng, Y Shi - Mechanical Systems and Signal Processing, 2019 - Elsevier
Polynomial chaos expansion (PCE) has been proven to be a powerful tool for developing
surrogate models in various engineering fields for uncertainty quantification. The …

Probabilistic assessment of complex corrosion in pipelines considering River-Bottom Profile information

R de Siqueira Motta, ADM Ferreira… - Engineering Failure …, 2024 - Elsevier
One of the important causes of failure and incidents in pipelines is corrosion. Due to the
severe consequences and impact in several social, economic, and environmental areas …

Application of computer technology in optimal design of overall structure of special machinery

C Guo - Mathematical Problems in Engineering, 2021 - Wiley Online Library
With the transformation and upgrading of my country's industrial structure, the level of
manufacturing automation has gradually improved. According to research, the design of …

Uncertainty quantification/propagation in nonlinear models: Robust reduction–generalized polynomial chaos

K Chikhaoui, N Bouhaddi, N Kacem… - Engineering …, 2017 - emerald.com
Purpose The purpose of this paper is to develop robust metamodels, which allow
propagating parametric uncertainties, in the presence of localized nonlinearities, with …

Escolha de franquias considerando decisão multicritério e avaliação de rentabilidade-risco

FM Silveira - Revista de Administração IMED, 2018 - dialnet.unirioja.es
This paper proposes a model for the selection of the most attractive franchises by an alleged
franchisee. To do so, using the structure that contemplates the main factors of choice of …

Low cost metamodel for robust design of periodic nonlinear coupled micro-systems

K Chikhaoui, N Bouhaddi, N Kacem… - MATEC Web of …, 2016 - matec-conferences.org
To achieve robust design, in presence of uncertainty, nonlinearity and structural periodicity,
a metamodel combining the Latin Hypercube Sampling (LHS) method for uncertainty …

Probabilistic Assessment of Complex Corrosion in Pipelines Considering River-Bottom Profile Information

RS Motta, AD Marques Ferreira… - Available at SSRN … - papers.ssrn.com
This study addresses pipeline failure, a critical issue primarily attributed to corrosion, with far-
reaching consequences in social, economic, and environmental domains. Traditional …