Stretchable-thickness model for dynamic responses of graphene origami reinforced badminton sport plate
In this article, we organize a stretchable-thickness model to present a frequency analysis for
a composite plate applicable in badminton court which is reinforced with origami graphene …
a composite plate applicable in badminton court which is reinforced with origami graphene …
Application of a folded nanostructure reinforcement for the pole vault curved shell
S Zhiqiang, L Aiyun, Z Daichang… - Mechanics of …, 2024 - Taylor & Francis
Foldability capacity is now introduced as a novel nanofiller reinforcement production
procedure using some operation to control the mechanical, thermal and electrical properties …
procedure using some operation to control the mechanical, thermal and electrical properties …
Bending-based solution methodology using eigenvalue-eigenvector approach for analysis of foldable reinforced Golf Clubs cylindrical shell
This paper is organized to present eigenvalue-eigenvector based solution method for elastic
bending analysis of foldable Golf Clubs cylindrical shell reinforced with graphene origami …
bending analysis of foldable Golf Clubs cylindrical shell reinforced with graphene origami …
Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
B Yu, B Wang, Y Zhang - Artificial Intelligence Review, 2024 - Springer
The deep integration of computer field and coal mining field is the only way to coal mine
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …
Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various machine learning techniques
Abstract Machine Learning (ML) method is widely used in engineering applications such as
fracture mechanics. In this study, twenty different ML algorithms were employed and …
fracture mechanics. In this study, twenty different ML algorithms were employed and …
[HTML][HTML] Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques
The accurate prediction of the strength of rocks after high-temperature treatment is important
for the safety maintenance of rock in deep underground engineering. Five machine learning …
for the safety maintenance of rock in deep underground engineering. Five machine learning …
[PDF][PDF] Football optimization algorithm (fboa): A novel metaheuristic inspired by team strategy dynamics
Abstract The Football Optimization Algorithm (FbOA) is introduced as a novel population-
based metaheuristic optimization technique inspired by the dynamic strategies of a football …
based metaheuristic optimization technique inspired by the dynamic strategies of a football …
Artificial neural network and YUKI algorithm for notch depth prediction in X70 steel specimens
The presence of notches directly influences the material's degree of resistance to fracture, as
each notch is defined by its size and location in the structure. In this study, we present a …
each notch is defined by its size and location in the structure. In this study, we present a …
A Review of Concrete Carbonation Depth Evaluation Models
X Wang, Q Yang, X Peng, F Qin - Coatings, 2024 - mdpi.com
Carbonation is one of the critical issues affecting the durability of reinforced concrete.
Evaluating the depth of concrete carbonation is of great significance for ensuring the quality …
Evaluating the depth of concrete carbonation is of great significance for ensuring the quality …
Optimal machine learning-based method for gauging compressive strength of nanosilica-reinforced concrete
As nanotechnology developed, new materials emerged that might be employed to improve
the mechanical properties of materials like concrete. Intensity factors are proportional to the …
the mechanical properties of materials like concrete. Intensity factors are proportional to the …