<p>Ultrasonic testing is a widely employed non-destructive technique for material characterization and defect detection. For pervious concrete (PeC), a porous composite material made of cement paste and coarse aggregate, understanding the interaction between material properties and ultrasonic wave propagation remains a challenge. This study implements a three-dimensional finite element model to simulate acoustic wave behavior in PeC, focusing on the effects of porosity <i>P</i>, aggregate size <i>D</i>, elastic modulus <i>E</i>, and density <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10921_2025_1248_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>ρ</mi> </math></EquationSource> </InlineEquation>. The specific goal is to understand the relationship of ultrasonic wave velocity and porosity in PeC. To control porosity, the model is based on a simplified hypothetical contact between particles which may represent the cement paste surrounding the aggregate particles. Several families of models are built by varying porosity between 8% and 40%, and three different values of <i>D</i>, <i>E</i> and <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10921_2025_1248_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>ρ</mi> </math></EquationSource> </InlineEquation>. An analytical model –an equation– is proposed and successfully fitted to the numerical data, and then tested numerically; the equation consists of a theoretical P-wave velocity multiplied by a factor dependent of <i>D</i> and <i>P</i>. Numerical results are partially validated against experimental measurements obtained from PeC samples with porosity values ranging from 14% to 35%. The findings reveal a clear inverse relationship between porosity and ultrasonic wave velocity, emphasizing the influence of aggregate contact areas. This work establishes a foundation for advancing ultrasonic testing as a reliable tool for assessing PeC porosity and performance in field applications.</p>

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3D Modeling of Ultrasonic Wave Propagation in Pervious Concrete

  • Agustin Spalvier,
  • Juan Sánchez,
  • Nicolás Pérez

摘要

Ultrasonic testing is a widely employed non-destructive technique for material characterization and defect detection. For pervious concrete (PeC), a porous composite material made of cement paste and coarse aggregate, understanding the interaction between material properties and ultrasonic wave propagation remains a challenge. This study implements a three-dimensional finite element model to simulate acoustic wave behavior in PeC, focusing on the effects of porosity P, aggregate size D, elastic modulus E, and density \(\rho \) ρ . The specific goal is to understand the relationship of ultrasonic wave velocity and porosity in PeC. To control porosity, the model is based on a simplified hypothetical contact between particles which may represent the cement paste surrounding the aggregate particles. Several families of models are built by varying porosity between 8% and 40%, and three different values of D, E and \(\rho \) ρ . An analytical model –an equation– is proposed and successfully fitted to the numerical data, and then tested numerically; the equation consists of a theoretical P-wave velocity multiplied by a factor dependent of D and P. Numerical results are partially validated against experimental measurements obtained from PeC samples with porosity values ranging from 14% to 35%. The findings reveal a clear inverse relationship between porosity and ultrasonic wave velocity, emphasizing the influence of aggregate contact areas. This work establishes a foundation for advancing ultrasonic testing as a reliable tool for assessing PeC porosity and performance in field applications.