Optimizing Site Selection for Construction: Integrating GIS Modeling, Geophysical, Geotechnical, and Geomorphological Data Using the Analytic Hierarchy Process DOI Creative Commons
Doaa Wahba,

Awad A. Omran,

Ashraf Adly

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 14(1), P. 3 - 3

Published: Dec. 25, 2024

Identifying suitable sites for urban, industrial, and tourist development is important, especially in areas with increasing population limited land availability. Kharga Oasis, Egypt, stands out as a promising area such development, which can help reduce overcrowding the Nile Valley Delta. However, soil various environmental factors affect suitability of civil engineering projects. This study used Geographic Information Systems (GISs) multi-criteria decision-making approach to assess Oasis construction activities. Geotechnical parameters were obtained from seismic velocity data, including Poisson’s ratio, stress concentration index, material N-value, foundation-bearing capacity. A comprehensive analysis situ laboratory-based geological geotechnical data 24 boreholes examined plasticity, water content, unconfined compressive strength, consolidation parameters. By integrating geotechnical, geomorphological, geological, environmental, field detailed site map was created using analytic hierarchy process develop weighted GIS model that accounts numerous elements influencing project design construction. The results highlight within area, high very classes covering 56.87% land, moderate representing 27.61%, unsuitable 15.53%. It should be noted many settlements exist highly vulnerable areas, emphasizing importance this study. identifies geoenvironmental hazards, allowing early at beginning planning reducing waste effort. applied does not only but, additionally, it provides reproducible method efficiently assessing use other regions similar conditions around world.

Language: Английский

Metakaolin as a soil stabilizing admixture: A comprehensive analysis of California bearing ratio and consolidation behavior using experimental and machine learning approaches DOI
Ibrahim Haruna Umar, S. A. R. Abu–Bakar, Hang Lin

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 22, 2025

Language: Английский

Citations

2
Transforming Landslide Prediction: A Novel Approach Combining Numerical Methods and Advanced Correlation Analysis in Slope Stability Investigation DOI Creative Commons
Ibrahim Haruna Umar, Hang Lin, Jubril Izge Hassan

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 3685 - 3685

Published: April 26, 2024

Landslides cause significant economic losses and casualties worldwide. However, robust prediction remains challenging due to the complexity of geological factors contributing slope stability. Advanced correlation analysis methods can improve capabilities. This study aimed develop a novel landslide approach that combines numerical modeling (Spearman rho Kendall tau) displacement-based failure prediction. Simulations generate multi-location displacement data sets on soil rock slopes under incremental stability reductions. Targeted monitoring points profile local responses. Statistical analyses, including mean/variance Spearman/Kendall correlations, quantified displacement-stability relationships. For homogeneous slope, point 2 middle section showed mean horizontal 17.65 mm vertical 9.72 reduction. Spearman’s coefficients ranged from 0.31 0.76, while Kendall’s tau values 0.29 0.64, indicating variable displacement–stability The joint model had strong positive total correlations (Spearman’s ranges +1.0 −1.0) at most points. Horizontal displacements reached maxima 44.13 22.17 mm, respectively, unstable center slope. advanced techniques provided superior identification parameters affecting compared standard methods. generated predictive dramatically improves capability, allowing preventive measures be taken mitigate future through this new approach.

Language: Английский

Citations

13
Effects of sewage sludge ash and stone powder on the properties of a silt DOI
Ali Fırat Çabalar, Mais Abdulrazzaq Ibrahim, Özgür Yıldız

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 450, P. 138586 - 138586

Published: Oct. 13, 2024

Language: Английский

Citations

9
Performance characterisation of machine learning models for geotechnical axial pile load capacity estimation: an enhanced GPR-based approach DOI
Ibrahim Haruna Umar,

Mahir Sukairaj Salga,

Hang Lin

et al.

Geomechanics and Geoengineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 42

Published: Feb. 24, 2025

Language: Английский

Citations

1
Experiment and Analysis of Variance for Stabilizing Fine-Grained Soils with Cement and Sawdust Ash as Liner Materials DOI Open Access

S M Mohammad Iliyas,

Ahmad Kamal Idris, Ibrahim Haruna Umar

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(10), P. 2397 - 2397

Published: May 16, 2024

Due to volume change and low strength, fine-grained soils are problematic in construction. Stabilization with cement sawdust ash (SDA) by-products can improve engineering properties. This study aimed investigate the effectiveness of stabilizing for liner applications. Varying proportions (0-9%) SDA (0-10%) were added soil samples (n = 24). Specimens tested unconfined compressive strength (UCS), hydraulic conductivity (HC), volumetric shrinkage strain (VSS). Two-way ANOVA analyzed stabilization effects. Optimal occurred 6% SDA, resulting significant increases UCS (51 375 kN/m2) decreases HC (1.7 × 10-8 4.7 10-10 m/s) VSS (12.8 3.51%) compared untreated soil. indicated that both had statistically (p < 0.05) effects on improving all three The addition significantly improved expansive soil's conductivity, confirmed quantitative improvements significance stabilizers. using by-product has potential be a sustainable improvement method.

Language: Английский

Citations

7
Seasonal Dynamics in Soil Properties Along a Roadway Corridor: A Network Analysis Approach DOI Open Access
Ibrahim Haruna Umar,

Ahmad Muhammad,

Hang Lin

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(8), P. 1708 - 1708

Published: April 9, 2025

Understanding soil properties’ spatial and temporal variability is essential for optimizing road construction maintenance practices. This study investigates the seasonal of properties along a 4.8 km roadway in Maiduguri, Nigeria. Using novel integration network analysis geotechnical testing, we analyzed nine parameters (e.g., particle size distribution (PSD), Atterberg limits, California bearing ratio) across wet (September 2024) dry (January 2021) seasons from 25 test stations. Average limits (LL: 22.8% vs. 17.5% dry; PL: 18.7% 14.7% PI: 4.2% 2.8% LS: 1.8% 2.3% dry), average compaction characteristics (MDD: 1.8 Mg/m3 2.1 OMC: 12.3% 10% CBR (18.9% 27.5% dry) were obtained. Network employed z-score standardization similarity metrics, with multi-threshold (θ = 0.05, 0.10, 0.15) revealing critical structural differences. During season, networks exhibited 5.0% reduction edges (321 to 305) density decline (1.07 1.02) as thresholds tightened, contrasting dry-season retaining 99.38% connectivity (324 322 edges) stable (0.99). Seasonal shifts classification (A-4(1)/ML A-2(1)/SM underscored moisture-driven plasticity changes. The findings highlight implications adaptive design, emphasizing moisture-resistant materials optimized periods.

Language: Английский

Citations

0
High-Plasticity Silt Stabilization: Role of Waste Stone Dust, Cement, and Curing Time DOI Creative Commons

Ujjwal Niraula,

Bhim Kumar Dahal,

Sangam Acharya

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104877 - 104877

Published: April 1, 2025

Language: Английский

Citations

0
Geotechnical Stability Analysis of the Tiga Dam, Nigeria on the Assessment of Downstream Soil Properties, Erosion Risk, and Seasonal Expansion DOI Creative Commons
Ibrahim Haruna Umar,

Adamu Abubakar,

Ibrahim Salisu

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(15), P. 6422 - 6422

Published: July 23, 2024

The Tiga Dam, a primary hydraulic structure in northern Nigeria, is subjected to intense hydrological stress during the rainy season, posing potential risks its structural integrity. This study investigates geotechnical properties and stability of Dam Kano State, Nigeria. Twelve soil samples from downstream area were analyzed for specific gravity, grain size distribution, Atterberg limits, compaction parameters, permeability, shear strength. dam’s was assessed using Plaxis 2D under various reservoir conditions. Soil erodibility evaluated Revised Universal Loss Equation (RUSLE), linear regression model with noise developed predict expansion rates. results showed heterogeneous properties, gravity ranging 2.11 2.63 permeability 3.40 × 10−9 1.49 10−7 m/s. Stability analysis revealed factors safety 1.322, 1.006, 1.002, 1.147 high reservoir, rapid drawdown, slow low conditions, respectively. RUSLE K factor ranged 0.055 0.145, indicating moderate erodibility. rate demonstrated accuracy (R2 = 0.989) predicting seasonal long-term trends, peak rates increasing 16.94 mm/month 2010–2013 19.45 2017–2020. comprehensive provides crucial insights into Dam’s behavior, highlighting vulnerabilities need targeted management strategies ensure safety.

Language: Английский

Citations

3
Recycling of Industrial Waste as Soil Binding Additives—Effects on Soil Mechanical and Hydraulic Properties during Its Stabilisation before Road Construction DOI Open Access

Witold Waciński,

Ksawery Kuligowski, Małgorzata Olejarczyk

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(9), P. 2000 - 2000

Published: April 25, 2024

To improve the in situ soil stabilization, different chemical additives are used (ion exchange compounds, based on H2SO4 or vinyl polymers, and organic using lignosulfonates). One interesting alternative is production of from various waste materials. The extensive testing waste-based blends with was performed; mechanical (unconfined compressive strength (UCS)) hydraulic (capillary rise, water absorption, frost resistance (FR)) properties were measured. optimization process led to obtaining additive compositions ensuring high sealing properties: by-pass ash ceramics industry, H2SO4, pyrolytic waxes/oils mixed plastics, tires HDPE, emulsion chewing gum waste. For sandy soil, following most promising: wax (EPW) PE foil (WPEF) addition pyrolytic-oil tires, EPW plastics “by-pass” NaOH, WPEF reaching up 93% FR, a 79.6% 7-day UCS increase, 27.6% 28-day increase. clay: solely 7.5% an 80.7% 119.1%

Language: Английский

Citations

2
Soil characterization, CBR modeling, and spatial variability analysis for road subgrade: a case study of Danchuwa – Jajere Road, Yobe State, Nigeria DOI
Ibrahim Haruna Umar,

Ibrahim Salisu,

Hang Lin

et al.

Engineering Research Express, Journal Year: 2024, Volume and Issue: 6(3), P. 035119 - 035119

Published: Sept. 1, 2024

Abstract Road construction projects require a thorough understanding of soil properties to ensure the stability and longevity infrastructure. This study investigates along proposed 34 km road alignment in Yobe State, Nigeria, characterize variability for develop predictive model California Bearing Ratio (CBR). Of samples analyzed, 30 were classified as A-3(1) four A-1(1) according AASHTO system. Geotechnical testing, including particle size distribution (grading percentages: gravel 0.02%–75.34%, sand 15.5%–90.88%, fines 8.92%–34.84%), Atterberg limits (liquid 17%–33%, plastic 14%–27%, plasticity index <12%), specific gravity (2.01 2.73), compaction (maximum dry density 1.83–2.19 Mg m −3 , optimum moisture content 7.29%–14.42%), CBR tests (values ranging from 5%–62%), conducted. Correlation analyses revealed strong positive relationships between maximum (r = 0.82) 0.89) with values. Cluster analysis segmented into distinct groups: 0 (11 samples), 1 (9 2 (5 3 samples). A linear regression predicted using (mean squared error 9.82, R 0.92). Based on criteria, 8 out (CBR 20%–53%) satisfied subbase requirements, while none met recommended minimum 80% base course materials. enhances planning through analysis, effective categorization via cluster reliable prediction model. While on-site materials are unsuitable subgrade layers, alternative or ground improvement techniques layer enhance bearing capacity.

Language: Английский

Citations

2