首页> 外文期刊>Acta Geotechnica: An International journal for Geoengineering >A methodology to calibrate and to validate effective solid potentials of heterogeneous porous media from computed tomography scans and laboratory-measured nanoindentation data
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A methodology to calibrate and to validate effective solid potentials of heterogeneous porous media from computed tomography scans and laboratory-measured nanoindentation data

机译:从计算机断层扫描扫描和实验室测量的纳米狭窄数据验证异质多孔介质的有效固体电位的方法。

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摘要

Built on the framework of effective interaction potentials using lattice element method, a methodology to calibrate and to validate the elasticity of solid constituents in heterogeneous porous media from experimentally measured nanoindentation moduli and imported scans from advanced imaging techniques is presented. Applied to computed tomography (CT) scans of two organic-rich shales, spatial variations of effective interaction potentials prove instrumental in capturing the effective elastic behavior of highly heterogeneous materials via the first two cumulants of experimentally measured distributions of nanoindentation moduli. After calibration and validation steps while implicitly accounting for mesoscale texture effects via CT scans, Biot poroelastic coefficients are simulated. Analysis of stress percolation suggests contrasting pathways for load transmission, a reflection of microtextural differences in the studied cases. This methodology to calibrate elastic energy content of real materials from advanced imaging techniques and experimental measurements paves the way to study other phenomena such as wave propagation and fracture while providing a platform to fine-tune effective behavior of materials given advancements in additive manufacturing and machine learning algorithms .
机译:呈现了使用晶格元素法的有效相互作用电位的框架,呈现了一种校准的方法,并验证从实验测量的纳米狭窄模量和来自先进的成像技术的进口扫描中的异质多孔介质中固体成分的弹性。应用于计算机断层扫描(CT)扫描两种有机富有的Hales,有效相互作用电位的空间变化证明了仪器通过通过先前测量的纳米狭窄模量的前两个累积剂捕获高度异质材料的有效弹性行为。校准和验证步骤后,在隐式地考虑MESCLE纹理效果的情况下,模拟了BIOT Poroelastic系数。应力渗透分析表明负载传输的对比途径,研究了研究的微小抑制差异。该方法从先进的成像技术校准真实材料的弹性能量含量和实验测量铺平了研究其他现象,如波传播和骨折,同时为添加剂制造和机器学习的进步提供了一种微调的有效行为的平台算法。

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