Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review

F Kazemi, T Shafighfard, DY Yoo - Archives of Computational Methods in …, 2024 - Springer
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …

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 …

[HTML][HTML] A machine learning method for predicting the chloride migration coefficient of concrete

WZ Taffese, L Espinosa-Leal - Construction and Building Materials, 2022 - Elsevier
This work adopts a state-of-the-art machine learning algorithm, XGBoost, to predict the
chloride migration coefficient (D nssm) of concrete. An extensive database of experimental …

[HTML][HTML] Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures

WZ Taffese, L Espinosa-Leal - Journal of Building Engineering, 2022 - Elsevier
The resistance of concrete to chloride penetration determines the durability and service life
of reinforced concrete building structures in coastal or chloride-laden environments. This …

Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression

J Khatti, KS Grover - Multiscale and Multidisciplinary Modeling …, 2024 - Springer
The present research employs the models based on the relevance vector machine (RVM)
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …

Freeze–thaw durability of cement-stabilized soil reinforced with polypropylene/basalt fibers

S Hadi Sahlabadi, M Bayat, M Mousivand… - Journal of Materials in …, 2021 - ascelibrary.org
Many studies have been carried out on the influence of freeze–thaw cycles on the
mechanical behavior of cement-or lime-stabilized soils. However, very limited studies have …

Prediction of compaction and strength properties of amended soil using machine learning

WZ Taffese, KA Abegaz - Buildings, 2022 - mdpi.com
In the current work, a systematic approach is exercised to monitor amended soil reliability for
a housing development program to holistically understand the targeted material mixture and …

Hybrid soft computing models for predicting unconfined compressive strength of lime stabilized soil using strength property of virgin cohesive soil

IT Bahmed, J Khatti, KS Grover - Bulletin of Engineering Geology and the …, 2024 - Springer
This work introduces an optimal performance model for predicting the unconfined
compressive strength (UCS) of lime-stabilized soil using the machine (ensemble tree (ET) …

Estimation of unconfined compressive strength of marine clay modified with recycled tiles using hybridized extreme gradient boosting method

D Li, X Zhang, Q Kang, E Tavakkol - Construction and Building Materials, 2023 - Elsevier
An accurate evaluation of the clay's properties when mixed with recyclable materials is the
end objective of many geotechnical experimental efforts. However, experimental studies …

Estimating the strength of soil stabilized with cement and lime at optimal compaction using ensemble-based multiple machine learning

KC Onyelowe, AAB Moghal, A Ebid, AU Rehman… - Scientific reports, 2024 - nature.com
It has been imperative to study and stabilize cohesive soils for use in the construction of
pavement subgrade and compacted landfill liners considering their unconfined compressive …