Materials, Free Full-Text
By A Mystery Man Writer
Description
There have been abundant experimental studies exploring ultra-high-performance concrete (UHPC) in recent years. However, the relationships between the engineering properties of UHPC and its mixture composition are highly nonlinear and difficult to delineate using traditional statistical methods. There is a need for robust and advanced methods that can streamline the diverse pertinent experimental data available to create predictive tools with superior accuracy and provide insight into its nonlinear materials science aspects. Machine learning is a powerful tool that can unravel underlying patterns in complex data. Accordingly, this study endeavors to employ state-of-the-art machine learning techniques to predict the compressive strength of UHPC using a comprehensive experimental database retrieved from the open literature consisting of 810 test observations and 15 input features. A novel approach based on tabular generative adversarial networks was used to generate 6513 plausible synthetic data for training robust machine learning models, including random forest, extra trees, and gradient boosting regression. While the models were trained using the synthetic data, their ability to generalize their predictions was tested on the 810 experimental data thus far unknown and never presented to the models. The results indicate that the developed models achieved outstanding predictive performance. Parametric studies using the models were able to provide insight into the strength development mechanisms of UHPC and the significance of the various influential parameters.
Stuff Matters : Mark Miodownik : Free Download, Borrow, and
Emerging Lithiated Organic Cathode Materials for Lithium‐Ion Full
Resources for Materials Science Research of Metals and Alloys
Free Bread Material for Cinema 4d by cinema4dmaterials on DeviantArt
Materials Free Full-Text A Simple, Quick And Eco-Friendly, 49% OFF
Free Printable Time And Materials Contract Templates [PDF, Word]
3D conservative cleaning of the root canal – Next Level - Endo Inn
Materials, Free Full-Text, Heat Transfer
How To Cite Without Author - Textbooks & Course Materials - A
Mesoporous materials for energy conversion and storage devices
Materials, Free Full-Text, values mm2 laser
Thermally Activated Delayed Fluorescent Dendrimers that Underpin
Materials, Free Full-Text, gold digging ants
OTOY • OctaneStudio+ 2024 Launches with Greyscalegorilla Plus
from
per adult (price varies by group size)