Modeling of glubam roof truss, parameter identification and updating based on parallel genetic algorithm
D Shi, GC Marano, C Demartino - Engineering Structures, 2024 - Elsevier
This research introduces an innovative approach to the design and simulation of bio-based
laminated structures, specifically focusing on glue-laminated bamboo (glubam) used in roof …
laminated structures, specifically focusing on glue-laminated bamboo (glubam) used in roof …
Contributions of e-defense shaking table to earthquake engineering and its future
A shaking table is an experimental facility consisting of a table that loads a structural
specimen and actuators that produce acceleration of the table to simulate seismic motions …
specimen and actuators that produce acceleration of the table to simulate seismic motions …
Bayesian optimization-assisted approximate Bayesian computation and its application to identifying cyclic constitutive law of structural steels
A costly finite element model discourages Bayesian inference of the underlying parameters
from noise-corrupted experimental datasets. This arises because the likelihood of such a …
from noise-corrupted experimental datasets. This arises because the likelihood of such a …
Glubam roof truss with riveted glubam connections adopting thin-walled steel tube: Experiment, modeling, and model-updating
Bio-based laminated structures offer a timely solution to meet the pressing demand for
resource-efficient and environmentally responsible construction practices in civil …
resource-efficient and environmentally responsible construction practices in civil …
Machine learning-based performance predictions for steels considering manufacturing process parameters: a review
W Fang, J Huang, T Peng, Y Long, F Yin - Journal of Iron and Steel …, 2024 - Springer
Steels are widely used as structural materials, making them essential for supporting our lives
and industries. However, further improving the comprehensive properties of steel through …
and industries. However, further improving the comprehensive properties of steel through …
An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models
Crystal plasticity finite element model (CPFEM) is a powerful numerical simulation in the
integrated computational materials engineering toolboxes that relates microstructures to …
integrated computational materials engineering toolboxes that relates microstructures to …
Proximal-exploration multi-objective Bayesian optimization for inverse identification of cyclic constitutive law of structural steels
Despite its importance in seismic response analysis, solving an inverse problem to identify
the cyclic elastoplastic parameters for structural steels using conventional optimization …
the cyclic elastoplastic parameters for structural steels using conventional optimization …
Bio-based hybrid planar truss: Experimental testing, FE modeling and Bayesian model updating
D Shi, Z Li, C Demartino - Engineering Structures, 2024 - Elsevier
This paper examines the cyclic behavior of a bio-based truss structure with slotted steel
plate bolted connections through a comprehensive approach involving experimental testing …
plate bolted connections through a comprehensive approach involving experimental testing …
Two-step parameter identification of multi-axial cyclic constitutive law of structural steels from cyclic structural responses
This paper presents a two-step Bayesian optimization (BO) method for identifying the
elastoplastic material parameters of structural steels subjected to multi-axial cyclic loading. A …
elastoplastic material parameters of structural steels subjected to multi-axial cyclic loading. A …
Bayesian estimation and uncertainty quantification of a temperature-dependent thermal conductivity
RLS Silva, C Verhoosel, E Quaeghebeur - arXiv preprint arXiv:2403.12696, 2024 - arxiv.org
We consider the problem of estimating a temperature-dependent thermal conductivity model
(curve) from temperature measurements. We apply a Bayesian estimation approach that …
(curve) from temperature measurements. We apply a Bayesian estimation approach that …