A scientometrics review of soil properties prediction using soft computing approaches

J Khatti, KS Grover - Archives of Computational Methods in Engineering, 2024 - Springer
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …

CBR prediction of pavement materials in unsoaked condition using LSSVM, LSTM-RNN, and ANN approaches

J Khatti, KS Grover - International Journal of Pavement Research and …, 2024 - Springer
The present research introduces the best architecture model for predicting the unsoaked
California bearing ratio (CBRu) of soil by comparing the models based on the least square …

Random forest algorithm for the strength prediction of geopolymer stabilized clayey soil

HA Zeini, D Al-Jeznawi, H Imran, LFA Bernardo… - Sustainability, 2023 - mdpi.com
Unconfined compressive strength (UCS) can be used to assess the applicability of
geopolymer binders as ecologically friendly materials for geotechnical projects …

[PDF][PDF] Soil-foundation interaction and its influences on some geotechnical properties of sulaimaniyah, northern Iraq fine-grained soils utilizing plaxis 3D

NB Salih, TA Abdalla, FA Ahmed - Engineering and Technology Journal, 2023 - iasj.net
Soils consider one of the most significant substances on the surface of the ground, and
nearly all foundations of structures are put on it [1]. The in-situ soil stratum under the …

Effect of geotechnical soil properties on CBR value: A review

BB Pule, JA Yendaw - IOP Conference Series: Earth and …, 2024 - iopscience.iop.org
This review paper presents the current research state of the relationship between
geotechnical soil properties and the California bearing ratio (CBR) value. Geotechnical …

[PDF][PDF] Determination of the California Bearing Ratio of the Subgrade and Granular Base Using Artificial Neural Networks.

JM Palomino Ojeda, BA Cayatopa Calderon… - International Journal of …, 2023 - academia.edu
The objective of the research is to estimate the value of the California bearing ratio (CBR)
through the application of ANN. The methodology consists of creating a database with soil …

[PDF][PDF] Determination of the California Bearing Ratio of the Subgrade and Granular Base Using Artificial Neural Networks

JMP Ojeda, BAC Calderon, LQ Huatangari… - core.ac.uk
The objective of the research is to estimate the value of the California bearing ratio (CBR)
through the application of ANN. The methodology consists of creating a database with soil …