A scientometrics review of soil properties prediction using soft computing approaches
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 …
Determining each soil's engineering properties is difficult because the laboratory procedures …
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …
predicting the compressive strength (CS) of concrete, an important parameter used for …
Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines
L Wang, C Wu, X Gu, H Liu, G Mei, W Zhang - Bulletin of Engineering …, 2020 - Springer
Earth dams are widespread throughout the world and their safety has gained increasing
concern from geotechnical engineering societies. Although probabilistic stability analysis …
concern from geotechnical engineering societies. Although probabilistic stability analysis …
Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions
California bearing ratio (CBR) is one of the important parameters that is used to express the
strength of the pavement subgrade of railways, roadways, and airport runways. CBR is …
strength of the pavement subgrade of railways, roadways, and airport runways. CBR is …
Application of artificial intelligence techniques in slope stability analysis: a short review and future prospects
Artificial intelligence (AI) techniques have become a trusted methodology among
researchers in the recent decade for handling a variety of geotechnical and geological …
researchers in the recent decade for handling a variety of geotechnical and geological …
[HTML][HTML] Soft computing-based prediction models for compressive strength of concrete
The complexity of concrete's composition makes it difficult to predict its compressive
strength, which is a highly valuable and desired characteristic. Traditional methods for …
strength, which is a highly valuable and desired characteristic. Traditional methods for …
Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm
With the rising freight demand, specialized heavy-haul railway corridors allow heavier trains
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …
Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure
The maintenance of safety and dependability in rail and road embankments is of utmost
importance in order to facilitate the smooth operation of transportation networks. This study …
importance in order to facilitate the smooth operation of transportation networks. This study …
Probabilistic stability analysis of embankment slopes considering the spatial variability of soil properties and seismic randomness
W Zhang, J Wu, X Gu, L Han, L Wang - Journal of Mountain Science, 2022 - Springer
The safety of embankments under seismic conditions is a primary concern for geotechnical
engineering societies. The reliability analysis approach offers an effective tool to quantify the …
engineering societies. The reliability analysis approach offers an effective tool to quantify the …
Probabilistic analysis of slope using Bishop method of slices with the help of subset simulation subsequently aided with hybrid machine learning paradigm
The use of probabilistic analysis of slopes as a useful technique for determining the level of
uncertainty in various variables has grown. In this study, a probabilistic analysis of a …
uncertainty in various variables has grown. In this study, a probabilistic analysis of a …