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Identification of poly-disperse granular fabric for the assessment of the stability of widely graded soils under hydraulic load

多分散颗粒织物的识别用于评估水力载荷下宽级配土壤的稳定性

基本信息

批准号：
318825689
负责人：
Professorin Dr.-Ing. Andrea Osburg
金额：
--
依托单位：
Lehrstuhl Bauchemie und Polymere Werkstoffe
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2017
资助国家：
德国
起止时间：
2016-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/318825689?language=en
关键词：
Identification poly disperse granular fabric

项目摘要

The transport of particles in soil will always cause a change in the mechanical properties. This will affect the soil's capacity to withstand stresses and the reliability of earthworks. In order to assess the soil's stability, analysing the soil's fabric and its transition is important. Although there is a long tradition in geotechnics of experimental and analytic investigations into the process of the transport of the soil's material, there are no criteria for its stability based on analysis of the dominant fabric.The aim of this research project is the identification of the fabric of widely graded soils in respect of their capacity to withstand transport of soil material. On the basis of an identification of the soil's fabric, a general assessment of particle mobility and the soil's stability is derived. The soil's fabric is visualised, analysed, and identified through empirical investigation, 3D computed tomography images, and through numerical simulations. In these analyses, the soil is represented by granular packing of spheres. This granular packing will be experimentally investigated and numerically simulated. To link both methods, a 3d data base of the experimentally produced packing is built. Digital image processing methods determine the relevant characteristic values of the packing. The resulting packings are used to validate and verify the numerical simulation. The main objective is the identification of the fabric and the assessment of the probability of mobility of particles. Based on the results of this assessment the packings are exposed to a specific hydraulic load. The outcome allows an assessment of the stability and global mobility of the mobile particles of packings of widely graded particle sizes.This research develops methods of identification of the fabric of granular packings and particle transport. Based on this in dependency of the particle size distribution and bulk density a characteristic type of matrix for the fabric can be identified and the probability of mobility can be predicted. As a result, this research will contribute to techniques for assessing the capacity of earthworks to withstand transport of soil material under hydraulic loads. This allows more accurate assessments that minimize uncertainties in earthworks of flood protection.

颗粒在土中的运移总会引起土的力学性质的变化。这将影响土壤承受压力的能力和土方工程的可靠性。为了评估土壤的稳定性，分析土壤的结构及其过渡是重要的。虽然在岩土工程学中对土壤材料的运输过程进行实验和分析研究有着悠久的传统，但没有基于主要结构分析的稳定性标准，本研究项目的目的是根据土壤材料的运输能力来识别宽级配土壤的结构。的基础上，识别土壤的织物，颗粒的流动性和土壤的稳定性的一般评估。土壤的结构是可视化的，分析，并通过实证调查，三维计算机断层扫描图像，并通过数值模拟确定。在这些分析中，土壤由球体的颗粒堆积表示。这种颗粒填料将进行实验研究和数值模拟。为了将这两种方法联系起来，建立了实验生产的填料的3D数据库。数字图像处理方法确定填料的相关特征值。所得填料用于验证和验证数值模拟。其主要目的是识别织物和评估颗粒的流动性概率。根据该评估结果，填料暴露于特定的液压载荷。结果允许广泛分级particlesizes.This研究开发的织物颗粒填料和颗粒运输的识别方法的移动的颗粒的稳定性和全球流动性的评估。基于此，根据颗粒尺寸分布和堆积密度，可以识别织物的基质的特征类型，并且可以预测移动性的概率。因此，这项研究将有助于评估土方工程的能力，以承受运输的土壤材料在水力负荷的技术。这允许更准确的评估，最大限度地减少防洪土方工程的不确定性。