Interlocking paving stones made of limestone sand and volcanic ash aggregates

Author(s):  
Abdulrezzak Bakis
2019 ◽  
Vol 81 (7) ◽  
Author(s):  
Mathieu Colombier ◽  
Sebastian B. Mueller ◽  
Ulrich Kueppers ◽  
Bettina Scheu ◽  
Pierre Delmelle ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Sebastian B. Mueller ◽  
Ulrich Kueppers ◽  
Jonathan Ametsbichler ◽  
Corrado Cimarelli ◽  
Jonathan P. Merrison ◽  
...  
Keyword(s):  
Break Up ◽  

2012 ◽  
Vol 74 (9) ◽  
pp. 1963-1984 ◽  
Author(s):  
Alexa R. Van Eaton ◽  
James D. Muirhead ◽  
Colin J. N. Wilson ◽  
Corrado Cimarelli

2021 ◽  
Vol 14 (7) ◽  
pp. 4379-4400
Author(s):  
Eduardo Rossi ◽  
Costanza Bonadonna

Abstract. Aggregation of particles occurs in a large variety of settings and is therefore the focus of many disciplines, e.g., Earth and environmental sciences, astronomy, meteorology, pharmacy, and the food industry. In particular, in volcanology, ash aggregation deeply influences the sedimentation of volcanic particles in the atmosphere during and after a volcanic eruption, affecting the accuracy of model predictions and the evaluation of hazard and risk assessments. It is thus very important to provide an exhaustive description of the outcome of an aggregation process, starting from its basic geometrical features such as the position in space of its components and the overall porosity of the final object. Here we present SCARLET-1.0, a MATLAB package specifically created to provide a 3D virtual reconstruction for volcanic ash aggregates generated in central collision processes. In centrally oriented collisions, aggregates build up their own structure around the first particle (the core), acting as a seed. This is appropriate for aggregates generated in turbulent flows in which particles show different degrees of coupling with respect to the turbulent eddies. SCARLET-1.0 belongs to the class of sphere-composite algorithms, a family of algorithms that approximate 3D complex shapes in terms of a set of sphere-composite nonoverlapping spheres. The conversion of a 3D surface to its equivalent sphere-composite structure then allows for an analytical detection of the intersections between different objects that aggregate together. Thus, provided a list of colliding sizes and shapes, SCARLET-1.0 places each element in the vector around the core, minimizing the distances between their centers of mass. The user can play with different parameters that control the minimization process. Among them the most important ones are the cone of investigation (Ω), the number of rays per cone (Nr), and the number of orientations of the object (No). All the 3D shapes are described using the Standard Triangulation Language (STL) format, which is the current standard for 3D printing. This is one of the key features of SCARLET-1.0, which results in an unlimited range of applications of the package. The main outcome of the code is the virtual representation of the object, its size, porosity, density, and the associated STL file. In addition, the object can be potentially 3D printed. As an example, SCARLET-1.0 has been applied here to the investigation of ellipsoid–ellipsoid collisions and to a more specific analysis of volcanic ash aggregation. In the first application we show that the final porosity of two colliding ellipsoids is less than 20 % if flatness and elongation are greater than or equal to 0.5. Higher values of porosities (up to 40 %–50 %) can instead be found for ellipsoids with needle-like or extremely flat shapes. In the second application, we reconstruct the evolution in time of the porosity of two different aggregates characterized by different inner structures. We find that aggregates whose population of particles is characterized by a narrow distribution of sizes tend to rapidly reach a plateau in the porosity. In addition, to reproduce the observed densities, almost no compaction is necessary in SCARLET-1.0, which is a result that suggests how ash aggregates are not well described in terms of the maximum packing condition.


2020 ◽  
Author(s):  
Pietro Gabellini ◽  
Costanza Bonadonna ◽  
Raffaello Cioni ◽  
Marco Pistolesi ◽  
Nobuo Geshi ◽  
...  

<p><span>Morphological, textural and granulometric studies of volcanic ash particle provides important insights into the mechanisms of fragmentation, transport and deposition in the context of low-to-mid intensity activity, and particularly during those eruptions showing high-transients in the style of activity. A comprehensive study of volcanic ash from Vulcanian activity of variable intensity at Sakurajima volcano (Japan) is here presented together with a detailed analysis of ash aggregates collected and filmed during the same eruptive sequences. Bulk tephra deposits from different events (July-August 2013, October 2014 and November 2019) and high-speed video of falling ash aggregates were collected directly during the fallout. Tephra samples, resulting from the different phases of activity, were analyzed using an optical particle analyzer which allowed to characterized the grain size distribution and to quantify the shape of a large set of particles. A set of objective parameters were used to constrain the shape of ash grains. This helped to better characterize different phases of activity also in the light of the magma fragmentation process and to evaluate the role played by the fragmentation process in controlling the eruption dynamics. SEM analyses of representative ash grains allowed distinguishing four principal types of ash fragments basing on morphological, surface and groundmass features: Blocky Irregular (BI), Blocky Regular (BR), Vesicular (V). A comprehensive textural analysis of grains belonging to either the different classes and phases of activity was provided in order to better resolve the complex relationships between the processes occurring before and during magma fragmentation and secondary processes affecting ash characteristics, like the intra-crateric recycling of ash. This helped also to shed light on the different processes of ash production and link them with the resulting dynamics of activity in the context of unsteady eruptions. On the other hand, the analysis of the high-speed video depicting ash aggregates, and aggregates collected during the same eruptive periods revealed important information about the influence of ash aggregation in controlling the depositional dynamics of Vulcanian eruptions. Three main types of ash aggregates were recognized to occur into all the Sakurajima samples: Ash Clusters, Coated Particles, Cored Clusters. Using image analysis techniques of SEM images, collected aggregates were characterized in terms of dimension, grain size of the aggregating ash, and shape features of the aggregated ash, pointing out important differences between the different types. Analysis of high-resolution, High-speed Camera video recordings, allowed finally to collect an important set of measurements of terminal velocity, bulk density, and size of a large number of observed falling aggregates. The resulting data reveal the strong influence of aggregation processes in controlling ash deposition processes at Sakurajima, and also represent a valuable dataset useful for validation and calibration of numerical models.</span></p>


2020 ◽  
Vol 1485 ◽  
pp. 012064
Author(s):  
S Abd Hakim ◽  
Kerista Tarigan ◽  
Timbangen Sembiring ◽  
Manihar Situmorang ◽  
Kerista Sebayang ◽  
...  
Keyword(s):  

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