Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
Viscosity and rheological behavior of Al2O3-Fe2O3/water-EG based hybrid nanofluid: a new correlation based on mixture ratio
The present study is a pure experimental investigation of the viscosity and rheological
properties of the Al 2 O 3-Fe 2 O 3 hybrid nanofluid and the development of a new …
properties of the Al 2 O 3-Fe 2 O 3 hybrid nanofluid and the development of a new …
Machine learning applications for electrospun nanofibers: a review
Electrospun nanofibers have gained prominence as a versatile material, with applications
spanning tissue engineering, drug delivery, energy storage, filtration, sensors, and textiles …
spanning tissue engineering, drug delivery, energy storage, filtration, sensors, and textiles …
Parallel adaptive Bayesian quadrature for rare event estimation
Various numerical methods have been extensively studied and used for reliability analysis
over the past several decades. However, how to understand the effect of numerical …
over the past several decades. However, how to understand the effect of numerical …
An efficient and versatile Kriging-based active learning method for structural reliability analysis
In structural reliability analysis, the development of an efficient and versatile active learning
method applicable to problems of varying complexities remains a challenging task. The …
method applicable to problems of varying complexities remains a challenging task. The …
Biomethane production from the mixture of sugarcane vinasse, solid waste and spent tea waste: a bayesian approach for hyperparameter optimization for Gaussian …
M Alruqi, P Sharma - Fermentation, 2023 - mdpi.com
In this work, sugarcane vinasse combined with organic waste (food and wasted tea) was
demonstrated to be an excellent source of biomethane synthesis from carbon-rich biowaste …
demonstrated to be an excellent source of biomethane synthesis from carbon-rich biowaste …
Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion
In this paper, a prediction-oriented active sparse polynomial chaos expansion (PAS-PCE) is
proposed for reliability analysis. Instead of leveraging on additional techniques to reduce the …
proposed for reliability analysis. Instead of leveraging on additional techniques to reduce the …
Unified fatigue life modelling and uncertainty estimation of Ni-based superalloy family with a supervised machine learning approach
L Tan, XG Yang, DQ Shi, WQ Hao, YS Fan - Engineering Fracture …, 2022 - Elsevier
Abstract Machine learning (ML) approaches, especially the supervised learning methods,
show enormous advantages in fatigue investigation, whereas few works follow the interest in …
show enormous advantages in fatigue investigation, whereas few works follow the interest in …
Prognostic modeling of polydisperse SiO2/Aqueous glycerol nanofluids' thermophysical profile using an explainable artificial intelligence (XAI) approach
Ceramic nanoparticles have become increasingly popular owing to their wide range of
engineering applications in the industry. Silica is one of the most promising nanomaterials …
engineering applications in the industry. Silica is one of the most promising nanomaterials …
[HTML][HTML] A new active-learning estimation method for the failure probability of structural reliability based on Kriging model and simple penalty function
Y Wang, H Pan, Y Shi, R Wang, P Wang - Computer Methods in Applied …, 2023 - Elsevier
Since the Kriging model can provide the mean value of the performance function at a
sample point and the corresponding variance among the various surrogate models, many …
sample point and the corresponding variance among the various surrogate models, many …