Computational Technology Resources - CCP

, "The Influence of Correlation Length on the Strength of Stochastic Discrete Models", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 25, 2015. doi:10.4203/ccp.108.25

Summary

This paper presents a meso-scale discrete model suitable for simulation of concrete fracturing. The model is enhanced by spatial fluctuation of the model parameters related to tensile behavior. The spatial variability of the parameters are represented using random fields. The main objective of the paper is to investigate the effect of correlation length of the random fields on the peak loads simulated by the discrete model. Three point bending of concrete beams is selected for the study presented.

In specimens failing at crack initiation from a smooth surface, an interesting dependency is reported. For a correlation length close to a size of the fracture process zone (a zone with a concentrated damage), a significant drop in the peak load occurs. The paper also reports clear dependency of the peak load variability on the correlation length. In specimens containing a deep notch, the average peak load is almost insensitive to the correlation length but the variability seems to be influenced.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £75 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 108 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping Paper 25 The Influence of Correlation Length on the Strength of Stochastic Discrete Models J. Kaderová, J. Eliáš and M. Vorechovský Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Czech Republic doi:10.4203/ccp.108.25 purchase the full-text of this paper Full Bibliographic Reference for this paper , "The Influence of Correlation Length on the Strength of Stochastic Discrete Models", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 25, 2015. doi:10.4203/ccp.108.25 Summary This paper presents a meso-scale discrete model suitable for simulation of concrete fracturing. The model is enhanced by spatial fluctuation of the model parameters related to tensile behavior. The spatial variability of the parameters are represented using random fields. The main objective of the paper is to investigate the effect of correlation length of the random fields on the peak loads simulated by the discrete model. Three point bending of concrete beams is selected for the study presented. In specimens failing at crack initiation from a smooth surface, an interesting dependency is reported. For a correlation length close to a size of the fracture process zone (a zone with a concentrated damage), a significant drop in the peak load occurs. The paper also reports clear dependency of the peak load variability on the correlation length. In specimens containing a deep notch, the average peak load is almost insensitive to the correlation length but the variability seems to be influenced. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £75 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions