6 hasil untuk "Badee Alshameri"

Determination of Safe Depth and Lateral Distance of Unsupported Excavation Near Mat Foundation in Cohesive Soils Using PLAXIS

Muhammad Hamza Khalid; Badee Alshameri

Journal of Applied Science and Engineering, Vol. 25 No. 2 · 2021 · Inggris · DOAJ Scopus

Deep excavations are essential to harbor the urban needs of the present age. The excavation of pits for foundation construction in an already limited space in urban centers poses damage to the neighboring structures. In this study, two mat foundations on two different types of clay soils have been…

Estimating seepage in heterogeneous earthfill dams on permeable foundations using explainable machine learning

Mohamed Maher Sayed Ahmed; Muhammad Zeeshan Khursheed; Badee Alshameri dkk.

Scientific Reports, Vol. 16 No. 1 · 2026 · Inggris · DOAJ Scopus

Abstract Predicting seepage discharge through heterogeneous earthfill dams founded on permeable foundations is essential for dam safety and long-term water-resources sustainability. Accordingly, this study evaluated five machine learning (ML) models viz Decision Tree (DT), Random Forest (RF)…

A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming

Muhammad Naqeeb Nawaz; Sana Ullah Qamar; Badee Alshameri dkk.

PLoS ONE, Vol. 17 No. 10 · 2022 · Inggris · DOAJ Scopus

This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soils which are particles passing from sieve # 200…

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Data-driven approach to enhance deep foundation safety: reliable methods for predicting bored pile capacity

Usman Hasan Jalali; Badee Alshameri; Muhammad Hamza Khalid dkk.

International Journal of Geo-Engineering, Vol. 16 No. 1 · 2025 · Inggris · DOAJ Scopus

Abstract The interpretation methods used to predict ultimate pile capacity from load-settlement curves yield varied results due to their unique assumptions and limitations. Misinterpreting ultimate pile capacity can negatively impact the safety and economy of deep foundations, which often consist…

Study Using Machine Learning Approach for Novel Prediction Model of Liquid Limit

Muhammad Naqeeb Nawaz; Sana Ullah Qamar; Badee Alshameri dkk.

Buildings, Vol. 12 No. 10 · 2022 · Inggris · DOAJ Scopus

The liquid limit (LL) is considered the most fundamental parameter in soil mechanics for the design and analysis of geotechnical systems. According to the literature, the LL is governed by different particle sizes such as sand content (S), clay content (C), and silt content (M). However…