Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine learning
Corrosion-induced crack width can provide effective information on the deterioration level of
in situ corroded reinforced concrete (RC) structures. However, the uncertainty associated …
in situ corroded reinforced concrete (RC) structures. However, the uncertainty associated …
Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete
Corrosion initiation time of embedded steel is an important service life parameter, which
depends on concrete material make-up, exposure environment, and duration of exposure …
depends on concrete material make-up, exposure environment, and duration of exposure …
Machine learning-based multiscale framework for mechanical behavior of nano-crystalline structures
In this paper, a computational atomistic-continuum multiscale framework is developed based
on the machine learning (ML) architecture to capture the nonlinear behavior of nano …
on the machine learning (ML) architecture to capture the nonlinear behavior of nano …
A machine learning-based atomistic-continuum multiscale technique for modeling the mechanical behavior of Ni3Al
AR Khoei, M Kianezhad - International Journal of Mechanical Sciences, 2023 - Elsevier
In this paper, a machine learning-based atomistic-continuum multiscale method is
developed to model the mechanical behavior of Ni-based superalloys. The kinematic and …
developed to model the mechanical behavior of Ni-based superalloys. The kinematic and …
Triaxial mechanical properties and microstructure visualization of BFRC
F Chen, B Xu, H Jiao, X Chen, Y Shi, J Wang… - Construction and Building …, 2021 - Elsevier
The addition of basalt fiber can effectively improve the macroscopic performance of
concrete. At present, there are few studies on the micro-action mechanism of basalt fiber. In …
concrete. At present, there are few studies on the micro-action mechanism of basalt fiber. In …
Structure genome based machine learning method for woven lattice structures
C Zhang, B Wang, H Zhu, H Fan - International Journal of Mechanical …, 2023 - Elsevier
As a type of lightweight composite material, three-dimensional (3D) woven lattice structure
(WLS) has been extensively applied in various fields. It is extremely significant to investigate …
(WLS) has been extensively applied in various fields. It is extremely significant to investigate …
Phase field to fracture analysis on engineered cementitious composites under complex stress states
By developing multiple fine cracks before fracture failure, engineered cementitious
composites (ECC) exhibit “metal-like” tensile behaviour, overcoming the inherent brittleness …
composites (ECC) exhibit “metal-like” tensile behaviour, overcoming the inherent brittleness …
[HTML][HTML] Electro-chemo-physical analysis for long-term reinforcement corrosion within the reactive system of concrete
This paper presents an electro-chemo-physical model for analyzing long-term chloride-
induced reinforcement corrosion in concrete structures. The integration of electrochemical …
induced reinforcement corrosion in concrete structures. The integration of electrochemical …
Stacking ensemble tree models to predict energy performance in residential buildings
In this research, a new machine-learning approach was proposed to evaluate the effects of
eight input parameters (surface area, relative compactness, wall area, overall height, roof …
eight input parameters (surface area, relative compactness, wall area, overall height, roof …
Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars
Despite notable progress made in predicting the drift capacity of reinforced columns with
steel bars, these techniques and methods are proven inapplicable for accurately predicting …
steel bars, these techniques and methods are proven inapplicable for accurately predicting …