Estimation of California bearing ratio by using soft computing systems
B Yildirim, O Gunaydin - Expert Systems with Applications, 2011 - Elsevier
This study presents the application of different methods (simple–multiple analysis and
artificial neural networks) for the estimation of the California bearing ratio (CBR) from sieve …
artificial neural networks) for the estimation of the California bearing ratio (CBR) from sieve …
Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms
In this study, gene expression programming (GEP) and multi gene expression programming
(MEP) are utilized to formulate new prediction models for determining the compaction …
(MEP) are utilized to formulate new prediction models for determining the compaction …
High performance prediction of soil compaction parameters using multi expression programming
HL Wang, ZY Yin - Engineering Geology, 2020 - Elsevier
Previous prediction models for soil compaction parameters were developed using limited
data of specific soils and their accuracy also needs to be improved. This study presents the …
data of specific soils and their accuracy also needs to be improved. This study presents the …
[图书][B] Advanced soil mechanics
BM Das - 2019 - taylorfrancis.com
Now in its fifth edition, this classic textbook continues to offer a well-tailored resource for
beginning graduate students in geotechnical engineering. Further developing the basic …
beginning graduate students in geotechnical engineering. Further developing the basic …
Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach
Foamed concrete is a versatile material that can be used in different construction
applications and with proper mix designing, it can also be used as a structural member. The …
applications and with proper mix designing, it can also be used as a structural member. The …
Prediction of compaction parameters for fine-grained and coarse-grained soils: a review
Maximum dry density and optimum moisture content achieved through laboratory
compaction test are equally significant for field engineer as much as for laboratory …
compaction test are equally significant for field engineer as much as for laboratory …
Application of hybrid ANN paradigms built with nature inspired meta-heuristics for modelling soil compaction parameters
A Bardhan, PG Asteris - Transportation Geotechnics, 2023 - Elsevier
For monitoring soil compaction in civil engineering projects, the determination of optimum
moisture content (OMC) and maximum dry density (MDD) are very significant. The present …
moisture content (OMC) and maximum dry density (MDD) are very significant. The present …
Assessment of fine-grained soil compaction parameters using advanced soft computing techniques
The compaction parameters are the most important parameters for any civil engineering
project. In this work, the sand content, fine content, liquid limit, plastic limit, and plasticity …
project. In this work, the sand content, fine content, liquid limit, plastic limit, and plasticity …
Indirect estimation of swelling pressure of expansive soil: GEP versus MEP modelling
In this article, detailed trials were undertaken to study the variation in genetic parameters in
order to formulate more robust predictive models using gene expression programming …
order to formulate more robust predictive models using gene expression programming …
Prediction of punching shear capacity for fiber-reinforced concrete slabs using neuro-nomographs constructed by machine learning
Punching shear capacity is an important parameter in designing structural elements.
Accurate estimation of punching shear capacity typically requires rigorous calculation …
Accurate estimation of punching shear capacity typically requires rigorous calculation …