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Support vector machine-based prediction of unconfined compressive strength of Multi-Walled Carbon nanotube doped soil-fly ash mixes
This comprehensive investigation explores the profound impact of multi-walled carbon
nanotubes (MWCNT) on the unconfined compressive strength of cement-fly ash reinforced …
nanotubes (MWCNT) on the unconfined compressive strength of cement-fly ash reinforced …
[HTML][HTML] 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 …
strength of clay soils was experimentally analyzed, and the collected data were utilized in an …
Compressibility of expansive soil mixed with sand and its correlation to index properties
Prior research has primarily focused on Atterberg limits, void ratios, and/or water content,
often disregarding the impact of coarse material percentage in the soil, which significantly …
often disregarding the impact of coarse material percentage in the soil, which significantly …
Comparative Analysis of Foundation Systems in Expansive Soil: A Three-Dimensional Model Approach to Moisture Diffusion and Volume Changes
This study compares the performance of various foundation systems in expansive soils, such
as mats, granular anchor piles, and concrete piles. Expansive soils experience volumetric …
as mats, granular anchor piles, and concrete piles. Expansive soils experience volumetric …
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
The influence of underground excavation on urban areas constitutes a critical issue in tunnel
engineering. This paper strives to establish a machine learning algorithm to predict …
engineering. This paper strives to establish a machine learning algorithm to predict …
[HTML][HTML] Prediction of the Effect of Fly Ash on the Unconfined Compressive Strength of Basalt Fiber Reinforced Clay Using Artificial Neural Networks
Y Aslan Topçuoğlu - Processes, 2025 - mdpi.com
In this study, the effects of fly ash (FA) and basalt fiber (BF) additives on the unconfined
compressive strength (qu) of kaolin clay were experimentally investigated, and a dataset …
compressive strength (qu) of kaolin clay were experimentally investigated, and a dataset …
How Programmable Construction Can Shape the Future of Sustainable Building in Italy
The construction industry has traditionally relied on labor-intensive methods, often resulting
in inefficiencies, cost overruns, and extended project timelines. Despite advancements in …
in inefficiencies, cost overruns, and extended project timelines. Despite advancements in …