Engineering geological 3D modeling and geotechnical characterization in the framework of technical rules for geotechnical design: the case study of the Nola’s logistic plant (southern Italy)

Petrone, Pierpaolo; Allocca, V.; Fusco, Francesco; Incontri, P.; Vita, Pantaleone De

doi:10.1007/s10064-022-03017-y

Cited by 7 publications

(2 citation statements)

References 38 publications

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“…The box and whisker plot (often known as boxplot), introduced by Tukey [30], is an outlier detection method based on IQR. The boxplot is popular among researchers in various engineering fields because of its relative efficacy, simplicity, and ease of interpretation [31][32][33][34]. It is a data visualization technique for quickly displaying data dispersion and identifying the outliers by means of two fences in the lower and upper bounds.…”

Section: Iqr-based Methodsmentioning

confidence: 99%

Review of Applicable Outlier Detection Methods to Treat Geomechanical Data

2023

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The reliability of geomechanical models and engineering designs depend heavily on high-quality data. In geomechanical projects, collecting and analyzing laboratory data is crucial in characterizing the mechanical properties of soils and rocks. However, insufficient lab data or underestimating data treatment can lead to unreliable data being used in the design stage, causing safety hazards, delays, or failures. Hence, detecting outliers or extreme values is significant for ensuring accurate geomechanical analysis. This study reviews and categorizes applicable outlier detection methods for geomechanical data into fence labeling methods and statistical tests. Using real geomechanical data, the applicability of these methods was examined based on four elements: data distribution, sensitivity to extreme values, sample size, and data skewness. The results indicated that statistical tests were less effective than fence labeling methods in detecting outliers in geomechanical data due to limitations in handling skewed data and small sample sizes. Thus, the best outlier detection method should consider this matter. Fence labeling methods, specifically, the medcouple boxplot and semi-interquartile range rule, were identified as the most accurate outlier detection methods for geomechanical data but may necessitate more advanced statistical techniques. Moreover, Tukey’s boxplot was found unsuitable for geomechanical data due to negative confidence intervals that conflicted with geomechanical principles.

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Section: Iqr-based Methodsmentioning

confidence: 99%

Review of Applicable Outlier Detection Methods to Treat Geomechanical Data

2023

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“…This leads to costeffective maintenance, prolonging the lifespan of infrastructure and minimizing disruptions to society [15]. Geodatabases improve project planning, enable advanced 3D modeling, reduce uncertainty, and lower costs due to improved data availability [16,17].…”

Section: Introductionmentioning

confidence: 99%

Development of geotechnical properties geo-database for soil in Kano metropolis to enhance building construction

Yunusa,

Kida,

Suleiman

et al. 2024

Nig. J. Tech.

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Building collapse is a prevalent and concerning issue that resulted in significant loss of lives and properties in many places in Nigeria including Kano state and determination of Geotechnical properties of soil could play a crucial role in preventing building collapse. This study uses Geographic Information System (GIS) methodologies to create a geospatial database of soil properties in Kano Metropolis. The database, created using Inverse Distance Weighting (IDW) and spatial interpolation techniques, provides 212 sets of soil properties being meticulously mapped across the study area. These meticulously generated maps illustrate various soil characteristics prevalent in the metropolis, offering invaluable insights for preliminary designs and construction planning for buildings within Kano Metropolis. The soils in this area are predominantly classified as CL (Clay of low plasticity), SC (Sandy Clay), and SM (Silty Sand) using Unified Soil Classification System (USCS). The moisture content spans from 2.01 to 46%, specific gravity within the range of 2.32 to 2.75, liquid limits varying between 17.2 and 45%, plastic limits within the range of 10.1 to 40.5%, and linear shrinkage values spanning from 1 to 13%. Furthermore, the shear strength parameters of the soil across the study area varies. The unit weight varies between 15.61 and 22.16 kN/ m3 , the cohesion (c) values ranging from 1.28 to 29.1 kN/m2 , and the angle of internal friction (ϕ) spanning from 5.5° to 32.2°. Despite variations in ultimate and allowable bearing capacity with depth, the ultimate bearing capacity (qult) generally ranges between 108 and 1150 kN/m2 , with the corresponding allowable bearing capacity (qall) falling between 40 and 343 kN/m2 . This research provides valuable geospatial knowledge to engineers, architects, and construction professionals in Kano Metropolis, enhancing decision-making and project planning precision, ultimately contributing to sustainable development and growth of Kano metropolis.

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Refined implicit characterization of engineering geology with uncertainties: a divide-and-conquer tactic-based approach

Li,

Chen,

Liang

et al. 2024

Bull Eng Geol Environ

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In engineering geology, a reasonable assessment of the spatial distribution of uncertainty in a region is vital in guiding research, saving money, and shortening the period. However, the traditional modeling process requires a lot of manual interaction, and the uncertainty of the geological model cannot be accurately quantified and utilized. This paper proposes a novel implicit geological modeling and uncertainty analysis approach based on the triangular prism blocks, which is divided into data point acquisition, ensemble model with divide-and-conquer tactic (EMDCT), uncertainty analysis, and post-processing. By employing machine learning algorithms, the EMDCT gives superior results for implicit modeling. The sensitivity analysis of the prediction results is further evaluated via information entropy. According to the distribution of uncertainty, supplementary boreholes are selected as additional knowledge to retrain the local components of the model to enhance their performances. The implicit modeling method is applied to real hydraulic engineering problems by employing the EMDCT, and the proposed model has obvious advantages in the implicit geological characterization. The overall accuracy in the working area with sparse boreholes reaches 0.922, which is 0.013 higher than the traditional method. By evaluating the distribution of uncertainty, an accuracy of 0.962 can be achieved, which is equivalent to reducing 10 boreholes.

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Engineering geological 3D modeling and geotechnical characterization in the framework of technical rules for geotechnical design: the case study of the Nola’s logistic plant (southern Italy)

Cited by 7 publications

References 38 publications

Review of Applicable Outlier Detection Methods to Treat Geomechanical Data

Review of Applicable Outlier Detection Methods to Treat Geomechanical Data

Development of geotechnical properties geo-database for soil in Kano metropolis to enhance building construction

Refined implicit characterization of engineering geology with uncertainties: a divide-and-conquer tactic-based approach

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