Effects of Void Clustering on the Thermal and Mechanical Properties of Concrete Evaluated Using Numerical Methods

[1]  Seunghwa Ryu,et al.  A micromechanics-based analytical solution for the effective thermal conductivity of composites with orthotropic matrices and interfacial thermal resistance , 2017, Scientific Reports.

[2]  Dietmar Stephan,et al.  Evaluation of the Effects of Crushed and Expanded Waste Glass Aggregates on the Material Properties of Lightweight Concrete Using Image-Based Approaches , 2017, Materials.

[3]  D. Stephan,et al.  Investigation of the effects of anisotropic pores on material properties of insulating concrete using computed tomography and probabilistic methods , 2016 .

[4]  Z. Hu,et al.  Heat conduction modeling in 3-D ordered structures for prediction of aerogel thermal conductivity , 2014 .

[5]  K. Youm,et al.  Evaluation of the anisotropy of the void distribution and the stiffness of lightweight aggregates using CT imaging , 2013 .

[6]  Martyn Jones,et al.  Characterization and simulation of microstructure and thermal properties of foamed concrete , 2013 .

[7]  T. Han,et al.  Correlation between low-order probability distribution functions and percolation of porous concrete , 2013 .

[8]  R. Edwards,et al.  Thermal behaviour of novel lightweight concrete at ambient and elevated temperatures: Experimental, modelling and parametric studies. , 2012 .

[9]  Xiao-dong Wang,et al.  A 3-D numerical heat transfer model for silica aerogels based on the porous secondary nanoparticle aggregate structure , 2012 .

[10]  S. Beecham,et al.  The relationship between porosity and strength for porous concrete , 2011 .

[11]  Almir Sales,et al.  Lightweight composite concrete produced with water treatment sludge and sawdust: Thermal properties and potential application , 2010 .

[12]  T. Han,et al.  Reconstruction of random two-phase polycrystalline solids using low-order probability functions and evaluation of mechanical behavior , 2010 .

[13]  Steven L. Crouch,et al.  A computational technique for evaluating the effective thermal conductivity of isotropic porous materials , 2010 .

[14]  V. Cnudde,et al.  Porosity and microstructure characterization of building stones and concretes , 2009 .

[15]  A. Gokhale,et al.  Image based computations of lineal path probability distributions for microstructure representation , 2008 .

[16]  Bruno Fiorio,et al.  Experimental study of the mechanical anisotropy of aerated concretes and of the adjustment parameters of the introduced porosity , 2006 .

[17]  Eric N. Landis,et al.  X-ray microtomographic studies of pore structure and permeability in Portland cement concrete , 2005 .

[18]  A. Gokhale,et al.  Constraints on microstructural two-point correlation functions , 2005 .

[19]  K. T. Chau,et al.  Estimation of air void and aggregate spatial distributions in concrete under uniaxial compression using computer tomography scanning , 2005 .

[20]  J. Michel,et al.  Effect of a nonuniform distribution of voids on the plastic response of voided materials: a computational and statistical analysis , 2005 .

[21]  Daniel B. Miracle,et al.  Quantitative characterization of spatial clustering in three-dimensional microstructures using two-point correlation functions , 2004 .

[22]  R. Dorey,et al.  Effect of pore clustering on the mechanical properties of ceramics , 2002 .

[23]  K. Ramamurthy,et al.  STRUCTURE AND PROPERTIES OF AERATED CONCRETE: A REVIEW , 2000 .

[24]  Salvatore Torquato,et al.  Extraction of morphological quantities from a digitized medium , 1995 .

[25]  S. Torquato,et al.  Lineal-path function for random heterogeneous materials. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[26]  S. Torquato,et al.  Measure of clustering in continuum percolation: Computer‐simulation of the two‐point cluster function , 1989 .

[27]  Salvatore Torquato,et al.  Two‐point cluster function for continuum percolation , 1988 .