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Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate [article]

Max Coenen and Dries Beyer and Christian Heipke and Michael Haist
2022 arXiv   pre-print
A large component of the building material concrete consists of aggregate with varying particle sizes between 0.125 and 32 mm.  ...  To this end, this paper proposes a deep learning based method for the determination of concrete aggregate grading curves.  ...  a sample of a few kilograms to many tons of aggregates.  ... 
arXiv:2204.03333v1 fatcat:rioktx2m5zctvmu22djapc5nw4

The settlement behavior of granular soils under vertical loading using the histogram equalization method

Can Erenson, Civil Engineering Department, Engineering Faculty, Aksaray University, Aksaray, Turkey
2022 Maǧallaẗ al-abḥāṯ al-handasiyyaẗ  
Consequently, the outputs obtained from the HEM agreed with the experiments.  ...  Within this context, the relative density value is a significant factor but its correlations are insufficient to provide precise results under exceptional conditions.  ...  In this study, the behavior of silica sand, river sand, sandy gravel aggregates, and basalt aggregates placed under different density conditions in a transparent box was examined by imaging with a high-resolution  ... 
doi:10.36909/jer.13147 fatcat:hmokwydfmzhuzk42nlu6bvx35q


M. Coenen, D. Beyer, C. Heipke, M. Haist
2022 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
A large component of the building material concrete consists of aggregate with varying particle sizes between 0.125 and 32 mm.  ...  To this end, this paper proposes a deep learning based method for the determination of concrete aggregate grading curves.  ...  a sample of a few kilograms to many tons of aggregates.  ... 
doi:10.5194/isprs-annals-v-2-2022-227-2022 fatcat:y6x4vuwelraqfjzbjso4jtvlre

Nanostructure Quantification of Carbon Blacks

Madhu Singh, Randy Vander Wal
2018 C — Journal of Carbon Research  
There exist different grades by which the carbon black is classified, based on its purpose and end use.  ...  These carbons differ in their aggregate morphology, particle size, and particle nanostructure. Nanostructure is key in determining the material's behavior in bulk form.  ...  All XRD profiles were fitted for lattice parameter calculation with a residual (R value) of <3%.  ... 
doi:10.3390/c5010002 fatcat:ajcajx2ogfclfnu3ovj73s7be4

Effects of fines content and maximum particle size on mechanical properties and saturated hydraulic conductivity of recycled concrete aggregates for unbound roadbed materials in Vietnam

Hong Nam Thai, Akira Kato, Hoang Giang Nguyen, Tien Dung Nguyen, Ton Kien Tong, Van Tuan Nguyen, Taro Uchimura, Takeshi Maki, Ken Kawamoto
2021 Japanese Geotechnical Society Special Publication  
This study showed that maximum dry density (MDD) and CBR value of graded aggregates with Dmax = 25 and 37.5 mm reached the highest values at Fc = 5%.  ...  With regards to the applicability of recycled concrete aggregates (RCA) to unbound roadbed materials, many studies have been done to investigate the effect of grading of particles on mechanical properties  ...  Sieve size, mm Graded aggregate with nominal particle size Dmax = 37.5 mm Graded aggregate with nominal particle size Dmax =25 mm 50 100 - 37.5 95-100 100 25 - 79-90 19 58-78 67-83 9.5 39-59 49-64 4.75  ... 
doi:10.3208/jgssp.v09.cpeg116 fatcat:txmhrjlly5cm7nkavnp77qhvwy

An improved formulation of the underground mine scheduling optimisation problem when considering selective mining

SE Terblanche, A Bley
2015 ORiON  
The resolution applied for discretising the problem, however, has a direct effect on both the level of selectivity that can be applied to improve profitability, as well as the computational feasibility  ...  The proposed model allows for a balance in reducing the resolution used in discretising the underground mine scheduling problem, while maintaining enough detail that will allow the generation of mine production  ...  A low resolution resource model with micro selectivity The use of an MMD grade tonnage curve facilitates the formulation of the mine scheduling optimisation problem with a lower time period resolution,  ... 
doi:10.5784/31-1-422 fatcat:v5mnc35rkrdbndnewqjt6avomu

Optical microtopographic inspection of asphalt pavement surfaces

Manuel Filipe P. Martins Costa, Elisabete Freitas, Helder Torres, Veronique Cerezo, Manuel Filipe P. Martins Costa
2017 Third International Conference on Applications of Optics and Photonics  
Having complex structures, including topographically with different ranges of form error and roughness, the inspection of asphalt pavement surfaces is difficult to perform non-invasively.  ...  With the combination of two types of aggregates with different grading (granite and basalt) and two types of binder (asphalt bitumen 35/50 and rubberized asphalt), three types of mixtures were produced  ...  Piezo-driven motors allow positioning with nanometer resolution in a 1.5mm range.  ... 
doi:10.1117/12.2270880 fatcat:ivcava6knvhznigrklgawfenyy

Semi-automatic grading system in histologic and immunohistochemistry analysis to evaluate in vitro chondrogenesis

María Lucía Gutiérrez, Johana Guevara, Luis Alejandro Barrera
2012 Universitas Scientiarum  
We developed a functional system for semi-automatic slide grading. We corroborated these results by biochemical analysis with comparable results.  ...  For histological analyses aggregates were stained with Alcian blue for total GAGs detection and immunohistochemistry (IHC) for aggrecan was performed.  ...  We are grateful to the Pontificia Universidad Javeriana flow cytometry core laboratory for their help with flow cytometry analyses, in particular Sandra Quijano.  ... 
doi:10.11144/javeriana.sc17-2.sags fatcat:lavdp5t7nvc4rbxhpq7uwsydb4

Comparative analysis of the coarse aggregate shapes used to manufacturing high performance self-compacting concrete

2018 Technical Transactions  
The shape of these grains was determining using digital image analysis and was in accordance with the european standard [19] .  ...  It was determined that the best fitting distribution for aspect ratio and roundness at a 95% confidence level is the generalised extreme value distribution.  ...  ▶ 0.05 kg of regular porphyry coarse aggregate ▶ 0.05 kg of irregular porphyry coarse aggregate High resolution photos were taken of the samples' with adequate lighting and special photo filter.  ... 
doi:10.4467/2353737xct.18.101.8796 fatcat:xzwdpnkt7bdhda4iwrmhjnsyya

A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning [article]

Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold
2020 arXiv   pre-print
In this paper, we proposed a multi-resolution multiple instance learning model that leverages saliency maps to detect suspicious regions for fine-grained grade prediction.  ...  Instead of relying on expensive region- or pixel-level annotations, our model can be trained end-to-end with only slide-level labels.  ...  Mean aggregation at 10x 77.1 90.8 97.9 96.6 Max aggregation Max aggreagtion at 10x 79.5 91.9 97.4 96.3 Single stage Single resolution MIL at 5x 76.3 92.5 97.4 95.8 Br selection Multi-resolution  ... 
arXiv:2011.02679v1 fatcat:fpuofo3ozna2pgzwazeeylql5u

Page 174 of Acta Physiologica Vol. 121, Issue 2 [page]

1984 Acta Physiologica  
Clonidine was capable of causing a dose-dependent aggregation that was sub- maximal and with a pD>-value of 6.1 (6.46.8).  ...  Noradrenaline caused a graded- aggregation response which was quantitatively de- termined by the melanophore index (Hogben & Slome 1931).  ... 

Patch Pattern and Ecological Risk Assessment of Alpine Grassland in the Source Region of the Yellow River

Jia Liu, Jianjun Chen, Qiaoting Qin, Haotian You, Xiaowen Han, Guoqing Zhou
2020 Remote Sensing  
high-high aggregation and low–low aggregation phenomena.  ...  This study first used 12 unmanned aerial vehicle (UAV) aerial images and eight moderate resolution imaging spectroradiometer (MODIS) vegetation index product MOD13Q1 images from July to August in 2019  ...  (JPEG) with a spatial resolution of 20 megapixels.  ... 
doi:10.3390/rs12203460 fatcat:w5wuis5uunb6poqtzd4vuorsti

Spatial Structure Characteristics of Slope Farmland Quality in Plateau Mountain Area: A Case Study of Yunnan Province, China

Zhengfa Chen, Dongmei Shi
2020 Sustainability  
The spatial distribution of SFQ grades has a significant spatial aggregation characteristic, and the types of local indicators of spatial association (LISA) are based on high–high (HH) aggregation and  ...  The results show that the SFQ indexes in Yunnan Province are between 0.36 and 0.81, with a mean of 0.59. The SFQ grade is based on sixth-class, fifth-class, seventh-class and fourth-class land.  ...  a spatial resolution of 30 m in the world.  ... 
doi:10.3390/su12177230 fatcat:rp5zwh7yvbhonnlj45v4lwrh3m

The design of Superpave compared with Marshall design method

Rui Nan Jiang, Bao Lin Zhu, Liang Chang, J.C.M. Kao, W.-P. Sung
2016 MATEC Web of Conferences  
In the past the grading choose usually use the mid-value that recommend by norm.  ...  COMPARE WITH THE METHODS (1) the grading choose Marshall method is fit of the design of asphalt of continuity dense grading.  ... 
doi:10.1051/matecconf/20166302007 fatcat:rq4tc52mt5dg7eiwz6b7pqp52m

Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading [article]

Fionn Murtagh, Jean-Luc Starck
2008 arXiv   pre-print
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective approach compared to  ...  dominant (additive, stationary) Gaussian noise component in image data will ensure that wavelet coefficients are of Gaussian distribution, long tailed distributions (symptomatic, for example, of extreme values  ...  Application to Image Grading The image grading problem related to construction materials and involving discrimination of aggregate mixes, is exemplified in Figure 8 .  ... 
arXiv:0802.3528v1 fatcat:srxb6bwwurgnzm2cn7efrgvywe
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