A recycling approach of natural stone from crushed concrete based on freeze-thaw modification and usage of spalling mortar as recycled fine aggregate

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 416, P. 135287 - 135287

Published: Feb. 1, 2024

Language: Английский

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Rapid recognition method of red brick content in recycled brick-concrete aggregates and powder based on color segmentation

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 84, P. 108633 - 108633

Published: Jan. 26, 2024

Language: Английский

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Human–Robot collaboration in construction: Robot design, perception and Interaction, and task allocation and execution

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103109 - 103109

Published: Jan. 10, 2025

Language: Английский

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Exploring Submarine 3D Printing: Enhancing Washout Resistance and Strength of 3D Printable Mortar

Journal of Materials in Civil Engineering, Journal Year: 2025, Volume and Issue: 37(3)

Published: Jan. 13, 2025

Language: Английский

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Improved freeze-thaw modification of recycled concrete aggregate originally from frost resistive concrete

Cement and Concrete Composites, Journal Year: 2023, Volume and Issue: 144, P. 105302 - 105302

Published: Sept. 19, 2023

Language: Английский

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Human-robot collaboration for modular construction manufacturing: Review of academic research

Automation in Construction, Journal Year: 2023, Volume and Issue: 158, P. 105196 - 105196

Published: Nov. 17, 2023

Language: Английский

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A conceptual approach to material detection based on damping vibration-force signals via robot

Frontiers in Neurorobotics, Journal Year: 2025, Volume and Issue: 19

Published: Feb. 11, 2025

Introduction Object perception, particularly material detection, is predominantly performed through texture recognition, which presents significant limitations. These methods are insufficient to distinguish between different materials with similar surface roughness, and noise caused by tactile movements affects the system performance. Methods This paper a straightforward, impact-based approach identifying materials, utilizing cantilever beam mechanism in UR5e robot's artificial finger. To detect object material, an elastic metal sheet was fixed load cell accelerometer appendage positioned above below its free end, respectively. After recording damping force signal vibration data from appendage's impact, features such as amplitude, time, wavelength, amplitude were retrieved. Three machine-learning techniques then used classify objects' according their rates. Data clustering using deflection of boost classification accuracy. Results discussion Online detection shows accuracy 95.46% study ten objects [metals (steel, cast iron), plastics (foam, compressed plastic), wood, silicon, rubber, leather, brick cartoon]. method overcomes limitations has potential be industrial robots.

Language: Английский

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Comprehensive lifecycle safety risk assessment for construction robotics using T-S fault tree analysis and Bayesian network

Automation in Construction, Journal Year: 2025, Volume and Issue: 172, P. 106041 - 106041

Published: Feb. 12, 2025

Language: Английский

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An Ontology Framework for Human-Robot Interoperability in Dynamic Construction Environments

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 313 - 331

Published: Jan. 1, 2025

Language: Английский

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Decoding the mind: A RAG-LLM on ICD-11 for decision support in psychology

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127191 - 127191

Published: March 1, 2025

Language: Английский

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