Porosity and pore structure are critical parameters in geotechnical engineering which influence the stiffness and permeability of granular materials. Traditional wave-based techniques, such as bender element testing, often require complex equipment, are susceptible to noise, and rely on stiffness-to-density conversions that introduce uncertainties in porosity inference. This study introduces the Concentration Conductivity Measurement (CCM) technique as a novel, non-destructive alternative for porosity and formation factor measurement using electrical conductivity. The CCM technique was validated through calibration tests on various sands and glass beads where a strong correlation was demonstrated with empirical models and literature data. The findings exhibit CCM sensors ability to provide reliable measurements under different material typologies prepared with varying compaction efforts. The method also alleviates the shortcomings of existing techniques. Unlike wave-based methods, CCM requires simpler equipment and is not susceptible to be affected by background noise which makes the method particularly suitable for geotechnical laboratory applications. This study provides a practical and versatile framework for porosity profiling with CCM and it advances the state of the art on granular media characterization. The study also demonstrates the significant potential of the technique for applications in soil mechanics and geotechnical modelling by comparing the findings to the data in the existing literature.@en

Monopiles are the dominant foundation type for offshore wind turbines, accounting for approximately 80% of the installed capacity. Installing offshore monopile foundations on seabeds susceptible to scour erosion requires monopiles to penetrate several pre-installed scour protection rock layers before securing them into the seabed. The accurate prediction of the pile penetration resistance is crucial to ensure successful monopile installations. To complement, and potentially reduce the dependence on the costly and labour-intensive experimental small-scale penetration tests, a numerical model has been developed using the Discrete Element Method (DEM) that captures the discrete nature of interactions between rocks and piles and predicts the resistance during the penetration process. The developed DEM model includes armour and filter rocks represented by multispheres and sand particles represented by spheres. A multistage calibration, verification and validation DEM modelling framework is proposed and examined with small-scale penetration tests conducted using plates and piles in a double-layer scour protection configuration. The sand material model is calibrated and verified using penetrometer tests and the rock material models are calibrated and verified using a plate penetration test. The DEM model with three verified materials predicts the penetration resistance well in small-scale pile penetration tests and proves the validity of the proposed framework. The DEM model presented in this paper facilitates the modelling in areas where traditional continuum-based numerical methods give less accurate predictions and provide insights that are difficult or nearly impossible to obtain through experimental methods.

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