Hybrid uncertainty propagation based on multi-fidelity surrogate model

J Liu, Y Shi, C Ding, M Beer - Computers & Structures, 2024 - Elsevier
There always exist multiple uncertainties including random uncertainty, interval uncertainty,
and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the …

Vibration prediction and analysis of strip rolling mill based on XGBoost and Bayesian optimization

Y Zhang, R Lin, H Zhang, Y Peng - Complex & Intelligent Systems, 2023 - Springer
The stable operation of strip rolling mill is the key factor to ensure the stability of product
quality. The design capability of existing domestic imported and self-developed strip rolling …

Bayesian optimization for robust design of steel frames with joint and individual probabilistic constraints

B Do, M Ohsaki, M Yamakawa - Engineering Structures, 2021 - Elsevier
This work proposes a Bayesian optimization (BO) method for solving multi-objective robust
design optimization (RDO) problems of steel frames under aleatory uncertainty in external …

An augmented formulation for robust design optimization of structures using stochastic simulation method

MA Khalid, S Bansal, V Ramamohan - Research in Engineering Design, 2023 - Springer
Abstract Robust Design Optimization (RDO) of structures has emerged as an important
methodology that seeks to determine a design that is insensitive to input variations …

Improved stochastic subset optimization method for structural design optimization

MA Khalid, S Bansal - Advances in Engineering Software, 2024 - Elsevier
Abstract The Stochastic Subset Optimization (SSO) algorithm was proposed for optimal
reliability problems that minimizes the probability of system failure over the admissible space …

Sequential sampling approach to energy‐based multi‐objective design optimization of steel frames with correlated random parameters

B Do, M Ohsaki - Earthquake Engineering & Structural …, 2022 - Wiley Online Library
This work presents a novel sequential sampling approach to the multi‐objective reliability‐
based design optimization of moment‐resisting steel frames subjected to earthquake …

DEVELOPMENT OF COMPUTATIONAL SCHEMES OF GENERALIZED KINEMATIC DEVICES THAT PRECISELY REGULATE THE NATURAL FREQUENCY …

L Lyakhovich, P Akimov, Z Galyautdinov… - International Journal for …, 2023 - ijccse.iasv.ru
To date, for some elastic systems with a finite number of degrees of mass freedom, in which
the directions of mass movement are parallel and lie in the same plane, methods have been …

XGB and SHAP credit scoring model based on Bayesian optimization

Y Kong, Y Wang, S Sun, J Wang - Journal of Computing and Electronic …, 2023 - drpress.org
In recent years, machine learning technology has achieved fruitful results in many fields.
However, in the fields of credit scoring and medical treatment, due to the lack of …

Robust topology optimization of truss-like continuum structures under uncertain loads based on cloud model

X Guo, K Zhou, S Shi - Mathematics and Mechanics of Solids, 2024 - journals.sagepub.com
The traditional structural performance may be seriously degraded due to applied
indeterministic cases. A novel framework for robust topology optimization of truss-like …

Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study

YJ Cruz, F Castaño, RE Haber, A Villalonga… - Artificial Intelligence in …, 2024 - Springer
Self-reconfiguration in manufacturing systems refers to the ability to autonomously execute
changes in the production process to deal with variations in demand and production …