Pub Date : 2024-06-18DOI: 10.1007/s40571-024-00779-y
De-Yun Liu, Han-qiao Che, Ci Wang, Yuan Chen
Motivated by the spatial variability observed in geological profiles, this study explored the feasibility of using discrete element method (DEM) to capture the effect of layered spatial variability into overall soil performance. The spatial variability of packing densities, particle Young’s modulus (E), and frictional properties (μ) within specimens was studied. It was observed that samples with similar overall void ratios exhibited comparable small-strain stiffness and shearing behaviors. In contrast, the coordination number and particle stress transmission demonstrated significant sensitivity to the layer-wise spatial variability in packing densities. Regarding the spatial variability effect of particle-scale E values, this study illustrates that spatial variability strongly affects the stiffness contributions of individual layers. Specifically, layers with higher E values are capable of transferring much stress and stiffness. For the spatial variability effect of frictional property, a degree of consistency in shearing behaviors was observed among specimens with similar average frictional characteristics, while layers with lower frictional property were identified as potential initial failure junctures. Overall, this study validates the utility of employing a DEM code for analyzing both the macroscopic behavior and localized vulnerabilities within complex granular systems, presenting profound implications for engineering practices.
受地质剖面中观察到的空间变异性的启发，本研究探索了使用离散元素法（DEM）捕捉分层空间变异性对整体土壤性能影响的可行性。研究了试样内堆积密度、颗粒杨氏模量（E）和摩擦特性（μ）的空间变化。研究发现，总体空隙率相似的试样表现出相似的小应变刚度和剪切行为。相比之下，配位数和颗粒应力传递对堆积密度的层间空间变化非常敏感。关于颗粒尺度 E 值的空间变异效应，本研究表明，空间变异会强烈影响单个层的刚度贡献。具体来说，E 值较高的层能够传递较大的应力和刚度。在摩擦特性的空间变异效应方面，在平均摩擦特性相似的试样中观察到了一定程度的剪切行为一致性，而摩擦特性较低的层被确定为潜在的初始失效连接点。总之，这项研究验证了使用 DEM 代码分析复杂颗粒系统的宏观行为和局部脆弱性的实用性，并对工程实践产生了深远影响。
{"title":"Assessing the effect of layered spatial variability on soil behavior via DEM simulation","authors":"De-Yun Liu, Han-qiao Che, Ci Wang, Yuan Chen","doi":"10.1007/s40571-024-00779-y","DOIUrl":"https://doi.org/10.1007/s40571-024-00779-y","url":null,"abstract":"<p>Motivated by the spatial variability observed in geological profiles, this study explored the feasibility of using discrete element method (DEM) to capture the effect of layered spatial variability into overall soil performance. The spatial variability of packing densities, particle Young’s modulus (<i>E</i>), and frictional properties (<i>μ</i>) within specimens was studied. It was observed that samples with similar overall void ratios exhibited comparable small-strain stiffness and shearing behaviors. In contrast, the coordination number and particle stress transmission demonstrated significant sensitivity to the layer-wise spatial variability in packing densities. Regarding the spatial variability effect of particle-scale <i>E</i> values, this study illustrates that spatial variability strongly affects the stiffness contributions of individual layers. Specifically, layers with higher <i>E</i> values are capable of transferring much stress and stiffness. For the spatial variability effect of frictional property, a degree of consistency in shearing behaviors was observed among specimens with similar average frictional characteristics, while layers with lower frictional property were identified as potential initial failure junctures. Overall, this study validates the utility of employing a DEM code for analyzing both the macroscopic behavior and localized vulnerabilities within complex granular systems, presenting profound implications for engineering practices.</p>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-13DOI: 10.1007/s40571-024-00785-0
Zhuang Chen, Xihua Chu, Diansen Yang
{"title":"A Cosserat bond-based correspondence model and the investigation of microstructure effect on crack propagation","authors":"Zhuang Chen, Xihua Chu, Diansen Yang","doi":"10.1007/s40571-024-00785-0","DOIUrl":"https://doi.org/10.1007/s40571-024-00785-0","url":null,"abstract":"","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141349406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1007/s40571-024-00787-y
H. Haeri, V. Sarfarazi, Lei Zhou, Hosein Karimi Javid, Kaveh Asgari, Ali Elahi
{"title":"Evaluation of rock pillar failure mechanisms under uniaxial compression: impact of joint number and joint angle","authors":"H. Haeri, V. Sarfarazi, Lei Zhou, Hosein Karimi Javid, Kaveh Asgari, Ali Elahi","doi":"10.1007/s40571-024-00787-y","DOIUrl":"https://doi.org/10.1007/s40571-024-00787-y","url":null,"abstract":"","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-10DOI: 10.1007/s40571-024-00786-z
Lei Zhou, V. Sarfarazi, H. Haeri, Armin Shahbazian, Arsham Moayedi Far, Mohammad Fatehi Marji
{"title":"Rock joint filling breakage under three different instant loading conditions; physical test and PFC simulation","authors":"Lei Zhou, V. Sarfarazi, H. Haeri, Armin Shahbazian, Arsham Moayedi Far, Mohammad Fatehi Marji","doi":"10.1007/s40571-024-00786-z","DOIUrl":"https://doi.org/10.1007/s40571-024-00786-z","url":null,"abstract":"","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141364134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.1007/s40571-024-00768-1
Edward Buckland, Vinh Phu Nguyen, A. de Vaucorbeil
{"title":"Easily porting material point methods codes to GPU","authors":"Edward Buckland, Vinh Phu Nguyen, A. de Vaucorbeil","doi":"10.1007/s40571-024-00768-1","DOIUrl":"https://doi.org/10.1007/s40571-024-00768-1","url":null,"abstract":"","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-04DOI: 10.1007/s40571-024-00769-0
Momme Jahn, Martin Meywerk
The discrete element method (DEM) is suitable to investigate problems where large deformations occur especially in granular material. The fitting of reliable DEM parameters is crucial and a challenge which is caused by the high number of DEM parameters and the computational effort. Despite its drawbacks, a trial and error approach is often used for the DEM parameter calibration. The knowledge of the DEM parameter influence on the model response is necessary to improve the calibration and to check whether the experiment is suitable to calibrate specific parameters or not. It is possible to reduce the dimensionality of the optimisation problem by omitting parameters whose influence on the model response is negligibly small. One approach is to perform a global sensitivity analysis based on Sobol’ indices. A frequently used calibration experiment in literature is the pile experiment. The deviation between the experiment and the simulation is evaluated with the angle of repose. In the present paper, an algorithm to determine the angle of repose considering the three-dimensional shape of the heap is discussed. The global sensitivity analysis is performed for two different experimental heap set-ups. To decrease the computational effort of the sensitivity analysis, the model response is approximated with metamodels whose predictability is evaluated using the root mean squared error (RMSE) based on a separate sampling point set.
离散元法（DEM）适用于研究发生大变形的问题，尤其是颗粒材料。由于 DEM 参数数量多、计算量大，如何拟合可靠的 DEM 参数至关重要，也是一项挑战。尽管存在缺点，但 DEM 参数校准通常采用试错法。了解 DEM 参数对模型响应的影响对于改进校准和检查实验是否适合校准特定参数十分必要。可以通过省略对模型响应影响极小的参数来降低优化问题的维度。一种方法是根据索布尔指数进行全局敏感性分析。文献中经常使用的校准实验是桩基实验。实验与模拟之间的偏差用倾角来评估。本文讨论了一种考虑到堆的三维形状来确定倾角的算法。针对两种不同的实验堆设置进行了全局敏感性分析。为了减少灵敏度分析的计算量，使用元模型对模型响应进行了近似，其可预测性使用基于单独采样点集的均方根误差（RMSE）进行评估。
{"title":"On the sensitivity of DEM parameters on pile experiments","authors":"Momme Jahn, Martin Meywerk","doi":"10.1007/s40571-024-00769-0","DOIUrl":"https://doi.org/10.1007/s40571-024-00769-0","url":null,"abstract":"<p>The discrete element method (DEM) is suitable to investigate problems where large deformations occur especially in granular material. The fitting of reliable DEM parameters is crucial and a challenge which is caused by the high number of DEM parameters and the computational effort. Despite its drawbacks, a trial and error approach is often used for the DEM parameter calibration. The knowledge of the DEM parameter influence on the model response is necessary to improve the calibration and to check whether the experiment is suitable to calibrate specific parameters or not. It is possible to reduce the dimensionality of the optimisation problem by omitting parameters whose influence on the model response is negligibly small. One approach is to perform a global sensitivity analysis based on Sobol’ indices. A frequently used calibration experiment in literature is the pile experiment. The deviation between the experiment and the simulation is evaluated with the angle of repose. In the present paper, an algorithm to determine the angle of repose considering the three-dimensional shape of the heap is discussed. The global sensitivity analysis is performed for two different experimental heap set-ups. To decrease the computational effort of the sensitivity analysis, the model response is approximated with metamodels whose predictability is evaluated using the root mean squared error (RMSE) based on a separate sampling point set.</p>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141255765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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