soil compressibility machines
ResultArtículos de productos Development of Soil Compressibility Prediction Models. to approximate these compressibility indexes. In this study, a data driven approach has been employed in order to estimate C. c. and C. r. Support Vector Machines classification is used to determine the number of distinct models to be developed.
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Soil mechanics : lab manual : Kalinski, Michael E. (Michael …
Result1 volume Like other construction materials, soil possesses mechanical properties related to strength, compressibility, and permeability. It is important to quantity these properties to predict how soil will behave under field loading for the safe design of soil structures (e.g. embankments, dams, waste containment liners, highway …
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Intelligent Model for the Compressibility Prediction of …
ResultDepending on the Random Forest Regression Algorithm, Intelligent Model was used to predict compressibility of cementstabilised dredged soil (Guo et al., 2021). Stress-strain modeling of sands used ...
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Prediction of compressibility parameters of the soils using …
ResultIn order to calculate the consolidation settlement of normally consolidated and over-consolidated saturated fine-grained soils, the …
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Geotechnical Testing and Engineering
ResultThis causes the soil to settle, thereby affecting the building's foundation. The engineer would need to ascertain the magnitude and rate of settlement, which can be predicted by a consolidation test. Consolidation testing machines are designed to measure soil compressibility. Test results can then compute the quantity and …
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Settlement Prediction Using Support Vector Machine …
ResultIn this study, soil compressibility prediction models are enhanced by the support vector machine (SVM) algorithm, and the performances of those correlations are tested via field verification in ...
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A new intelligence model for evaluating clay compressibility …
ResultThis study investigated the compressibility of clay (Cc) for soft ground improvement and developed six optimized metaheuristic-based extreme learning machine (ELM) models (particle swarm optimization (PSO)-ELM, moth search optimization (MSO)-ELM, firefly optimization (FO)-ELM, cuckoo search …
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Soil Compactibility and Compressibility | SpringerLink
ResultSoil Compactibility and Compressibility, Figure 1. ( a) Soil compression under static loading in the re-compression and …
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Intelligent Model for the Compressibility Prediction of …
ResultThe soil compression characteristics play an extremely important soil has been primarily focused on its strength and microstructure. role in settlement and stress calculation. However, the method of. Bingyi Li bylee17@163 Dept. of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
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Soil-Compressibility Prediction Models Using Machine …
ResultSoil-Compressibility Prediction Models Using Machine Learning. Authors: Scott Kirts, Orestis P. Panagopoulos, Ph.D., Petros Xanthopoulos, Ph.D., and Boo Hyun Nam, Ph.D., A.M.ASCE. Author Affiliations. Publication: Journal of …
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Machine learning approaches to estimation of the …
ResultThe inputs were water content, soil density, and void ratio. The outputs were the modulus of compression and the coefficient of compressibility, which are usually obtained from …
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Period #16: Soil Compressibility and Consolidation (II)
ResultBoundary conditions for excess pore−pressure in the low−permeability soil layer: permeable soil. = 0 at z = 0 for t ∈ [0, ∞) = 0 at z = 2H for t ∈ [0, ∞) 6. Solution: a) First, compute the vertical effective stress at the center of the clay layer before the uniform pressure is applied.
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Soil Strength and Plant Growth | SpringerLink
ResultSoil compaction may be defined as "the densification of an unsaturated soil due to externally applied dynamic load." It is soil compression under unsaturated conditions. 8.1.5 Soil Compressibility. Soil compressibility is defined as "the resistance to change in volume (or bulk density) of soil when it is …
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Soil Systems | Free Full-Text | Soil Structure under Forest and …
ResultMachinery traffic and animal trampling can deform the soil and, consequently, impair soil pore functioning. This study aimed to evaluate how soil structure affects the compressibility, physical properties and air permeability of a Typic Paleudalf under forest, pasture and eucalyptus. Soil samples with preserved structure were used …
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Consolidation Machines for Testing Soil
ResultConsolidation Testing Machines. The consolidation test is designed to measure the compressibility of soils. In this test a laterally confined, axially drained soil specimen is subject to a series of constant axial loads. The results of the test can be used to compute the quantity of settlement and the rate at which that settlement …
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Sustainability | Free Full-Text | Soil Compressibility …
ResultAbstract. Due to the widespread use of heavy machinery, improper soil tillage practices, and insufficient soil organic materials input, soil compaction has become a major …
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Settlement Prediction Using Support Vector Machine (SVM …
ResultThe magnitude of soil settlement depends on several variables such as the compression index, Cc, and recompression index, Cr, which are determined by a consolidation test. This laboratory test is time consuming and labor intensive, thus efforts to correlate the compressibility indexes and soil index properties …
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Evaluation of Multiple Linear Regression and …
ResultThis study investigated the relationships between the electrical and selected mechanical properties of soil. The analyses focused on comparing various modeling relationships under study methods …
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Prediction of compressibility parameters of the soils using …
ResultThe compressibility parameters such as compression index and recompression index are usually obtained by using the graphical analysis of compression curve in void ratio—effective stress (e − log σ) plots in Fig. 1.The slope of the straight-line portion of the part of the compression curve on a semi …
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Boosting-based ensemble machine learning models for …
ResultThe present research employs new boosting-based ensemble machine learning models i.e., gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined compressive strength (UCS ...
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Machine learning approaches to estimation of the …
ResultThis study presents the development of three machine learning (ML) models for mapping the two compressibility indices for soft soils. The ML models …
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Regression Analysis of Soil Compressibility
ResultCompression index ( c c) quantifies the compressibility of the soil and is a key parameter in the design of geotechnical structures. To predict the value of c c in clay soils, a global database of more than 1000 data points was collected and analysed. Liquid limit, plasticity index, natural water content, and initial void ratio …
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Soil Compactibility and Compressibility | Request PDF
ResultSoil compaction is one of the major problems facing modern agriculture. Overuse of machinery, intensive cropping, short crop rotations, intensive grazing and inappropriate soil management leads to ...
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Estimation of Soils' Compression and Recompression Index Using Soil
ResultThe magnitude of the overall settlement of soil depends on several variables such as the compression index, C c, and recompression index, C r, which are determined by a consolidation test; however, the test is time-consuming and labor-intensive.Correlations have been developed to approximate these …
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Bayesian Neural Network-based Uncertainty Modelling
ResultSimilarly, Scott Kirts et al. [12] utilized the support vector machine (SVM) model to predict the soil compressibility for coarse-grained, fine-grained, and organic peat. ...
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Soil Compaction Due to Increased Machinery Intensity in
ResultIn modern agriculture, most of the field operations from sowing to harvesting are done mechanically by using heavy agriculture machines. However, the loads from these heavy machines may induce stresses exceeding soil strength causing soil compaction. Nowadays, soil compaction is considered as a serious …
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Machine learning approaches for the prediction of soil …
ResultFor soil analysis, a total of 77 soil samples were collected (0–40 cm depth) to cover the majority of the study area's surface (Figure 3) by taking two types of soil (disturbed and undisturbed soil samples).The undisturbed soil samples were taken by Kopecky rings in standard sharpened steel 100-cm 3 to determine the …
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A parameter design model for EPB shield soil
ResultIt makes sense to improve the shield soil to enhance the earth pressure balance shield's performance, facilitate excavation, manage soil pressure, and avoid issues like mud cake and water gushing of the earth pressure balance shield machine [7]. The enhanced soil must satisfy the following criteria: …
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Settlement Prediction Using Support Vector Machine (SVM) …
ResultThe magnitude of soil settlement depends on several variables such as the compression index, C c, and recompression index, C r, which are determined by a consolidation test.This laboratory test is time consuming and labor intensive, thus efforts to correlate the compressibility indexes and soil index properties have …
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Soil Compactability and Compressibility
ResultThus, the stress distribution under running wheels (intensity and spatial direction) varies greatly, in dependence of soil and machinery parameters. (4) Soil compressibility and compactability are strongly affected by the internal and external parameters of arable and forest soils and can seldom be predicted by values …
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