Evaluation of the Changes in the Strength of Clay Reinforced with Basalt Fiber Using Artificial Neural Network Model
In this research, the impact of basalt fiber reinforcement on the unconfined compressive strength of clay soils was experimentally analyzed, and the collected data were utilized in an artificial neural network (ANN) to predict the unconfined compressive strength based on the basalt fiber reinforceme...
Saved in:
| Main Authors: | Yasemin Aslan Topçuoğlu, Zeynep Bala Duranay, Zülfü Gürocak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/22/10362 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AI-Driven Analysis of Tuff and Lime Effects on Basalt Fiber-Reinforced Clay Strength
by: Yasemin Aslan Topçuoğlu, et al.
Published: (2025-07-01) -
Modeling the compressive strength behavior of concrete reinforced with basalt fiber
by: Kennedy C. Onyelowe, et al.
Published: (2025-04-01) -
An Experimental Study on the Compressibility of Clays Reinforced with Basalt Fiber
by: Yasemin Aslan Topçuoğlu, et al.
Published: (2024-10-01) -
Study of the flexural behavior of basalt fiber-reinforced concrete beams with basalt fiber-reinforced polymer bars and steel bars
by: ZhiWei Wei, et al.
Published: (2025-07-01) -
Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization
by: Dalian Bai, et al.
Published: (2025-01-01)