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Digital Slump Flow: Image-Based Assessment of Fresh Concrete Homogeneity as Part of the Slump Flow Test

https://doi.org/10.2139/ssrn.4752075
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Photogrammetric Computer Vision
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ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles
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A Comparative Review of Building Information Modelling Implementation in Building and Infrastructure Industries
inferredcites →https://doi.org/10.1016/0262-5075(84)90046-0openalex-extracted
The rheology of fresh concrete
inferredcites →https://doi.org/10.1016/j.autcon.2012.09.010openalex-extracted
A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template
inferredcites →https://doi.org/10.1016/j.autcon.2020.103432openalex-extracted
In-situ concrete slump test incorporating deep learning and stereo vision
inferredcites →https://doi.org/10.1016/j.cemconcomp.2007.02.001openalex-extracted
Modeling slump flow of concrete using second-order regressions and artificial neural networks
inferredcites →https://doi.org/10.1016/j.cemconcomp.2014.03.001openalex-extracted
Effects of mix design parameters and rheological properties on dynamic stability of self-consolidating concrete
inferredcites →https://doi.org/10.1016/j.cemconres.2012.01.007openalex-extracted
Flow induced particle migration in fresh concrete: Theoretical frame, numerical simulations and experimental results on model fluids
inferredcites →https://doi.org/10.1016/j.cemconres.2018.03.018openalex-extracted
Changes in concrete properties during pumping and formation of lubricating material under pressure
inferredcites →https://doi.org/10.1016/j.cemconres.2018.05.006openalex-extracted
3D printing using concrete extrusion: A roadmap for research
inferredcites →https://doi.org/10.1016/j.conbuildmat.2005.01.054openalex-extracted
Predicting the compressive strength and slump of high strength concrete using neural network
inferredcites →https://doi.org/10.1016/j.conbuildmat.2011.08.052openalex-extracted
Correlating dynamic segregation of self-consolidating concrete to the slump-flow test
inferredcites →https://doi.org/10.1016/j.conbuildmat.2013.11.076openalex-extracted
Effects of particle packing density on the stability and rheology of self-consolidating concrete containing mineral admixtures
inferredcites →https://doi.org/10.1016/j.conbuildmat.2018.02.087openalex-extracted
A new method for determination of dynamic stability of self-consolidating concrete: 3-Compartment sieve test
inferredcites →https://doi.org/10.1016/j.conbuildmat.2020.121099openalex-extracted
A state-of-the-art review on the stability of self-consolidating concrete
inferredcites →https://doi.org/10.1016/j.eswa.2014.08.048openalex-extracted
Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks
inferredcites →https://doi.org/10.1061/(asce)0899-1561(2008)20:9(628)openalex-extracted
Modeling and Analysis of Concrete Slump Using Artificial Neural Networks
inferredcites →https://doi.org/10.1061/(asce)mt.1943-5533.0001325openalex-extracted
Correlating Aggregate Properties and Concrete Rheology to Dynamic Segregation of Self-Consolidating Concrete
inferredcites →https://doi.org/10.1145/235815.235821openalex-extracted
The quickhull algorithm for convex hulls
inferredcites →https://doi.org/10.1201/9781482267006openalex-extracted
Workability and Quality Control of Concrete
inferredcites →https://doi.org/10.14359/10841openalex-extracted
New Methodology for Designing Self-Compacting Concrete
inferredcites →https://doi.org/10.14359/13066openalex-extracted
Comparison of Field-Oriented Test Methods to Assess Dynamic Stability of Self-Consolidating Concrete
inferredcites →https://doi.org/10.14359/13116openalex-extracted
Evaluation of Static Stability of Self-Consolidating Concrete
inferredcites →https://doi.org/10.14359/51689244openalex-extracted
Assessment of Static Stability of Concrete Using Shear Wave Velocity Approach
inferredcites →https://doi.org/10.14359/56657openalex-extracted
Modeling Static Segregation of Self-Consolidating Concrete
inferredcites →https://doi.org/10.1520/jai102003openalex-extracted
Determination of Rheology of Self-Consolidating Concrete Using the 4C-Rheometer and How to Make Use of the Results
inferredcites →https://doi.org/10.1617/s11527-005-9036-1openalex-extracted
A Theoretical Frame to Study Stability of Fresh Concrete
inferredcites →https://doi.org/10.1617/s11527-007-9313-2openalex-extracted
Rheology of fresh concrete: from measurements to predictions of casting processes
inferredcites →https://doi.org/10.1617/s11527-015-0522-9openalex-extracted
Influence of aggregate characteristics on workability of superworkable concrete
inferredcites →https://doi.org/10.1617/s11527-018-1303-zopenalex-extracted
Effect of dynamic segregation of self-consolidating concrete on homogeneity of long pre-cast beams
inferredcites →https://doi.org/10.1680/coma.2009.162.1.11openalex-extracted
Simulation of concrete slump using neural networks
inferredcites →https://doi.org/10.3390/s18030771openalex-extracted
Visualization of Concrete Slump Flow Using the Kinect Sensor
inferredcites →https://doi.org/10.35490/ec3.2023.222openalex-extracted
Concrete flow transformer: predicting fresh concrete properties from concrete flow using vision transformers
inferredcites →https://doi.org/10.35490/ec3.2023.223openalex-extracted
Granulometry transformer: image-based granulometry of concrete aggregate for an automated concrete production control
inferredcites →https://doi.org/10.5194/isprs-annals-v-2-2021-83-2021openalex-extracted
SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE
inferredcites →https://doi.org/10.5194/isprs-annals-v-2-2022-227-2022openalex-extracted
LEARNING TO SIEVE: PREDICTION OF GRADING CURVES FROM IMAGES OF CONCRETE AGGREGATE
inferredcites →https://doi.org/10.5194/isprs-archives-xliii-b2-2022-711-2022openalex-extracted
IMAGE-BASED DEEP LEARNING FOR RHEOLOGY DETERMINATION OF BINGHAM FLUIDS
inferredcites →https://doi.org/10.6028/nist.ir.6819openalex-extracted
Comparison of concrete rheometers:

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inferred← citeshttps://doi.org/10.1016/j.jobe.2025.113691openalex-snapshot
Synergistic effects of mixed biomass fly ashes on cement mortar performance: A strategy for sustainable and low-carbon building materials
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