Fatigue Cracking Characteristics of Ultra-Large Particle Size Asphalt Mixture Under Temperature and Loading Using Digital Image Correlation Techniques DOI Open Access
Tian Tian, Yingjun Jiang, Yong Yi

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(7), P. 1475 - 1475

Published: March 26, 2025

This study quantitatively investigates the fatigue cracking behavior of ultra-large particle size asphalt mixture (LSAM-50) under coupled temperature and stress effects. Fatigue tests were conducted across temperatures ranging from -15 °C to 35 levels (0.3-0.9 splitting tensile strength), with crack evolution tracked in real time using digital image correlation (DIC). Key parameters, including main length, density, curvature, fractal dimension, strain, analyzed characterize propagation. Results revealed a three-stage process: initiation, development, acceleration failure. Increasing or level accelerated horizontal/vertical displacement rates, expansion, strain accumulation, while reducing density dimension. A prediction model, LgN = 9.741 - 1.213Lgε 0.017T 1.579S (R2 0.954), was established, linking life (N) (ε), (T), (S). model enables precise estimation varying environmental conditions. For instance, predicts 60% reduction when rises 15 at S 0.7, highlighting its utility material selection for climate-resilient infrastructure, offering critical tool optimizing LSAM-50 pavement design. By integrating DIC-derived metrics mechanistic insights, this work not only enhances understanding but also provides valuable insights design optimization materials

Language: Английский

Fatigue Cracking Characteristics of Ultra-Large Particle Size Asphalt Mixture Under Temperature and Loading Using Digital Image Correlation Techniques DOI Open Access
Tian Tian, Yingjun Jiang, Yong Yi

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(7), P. 1475 - 1475

Published: March 26, 2025

This study quantitatively investigates the fatigue cracking behavior of ultra-large particle size asphalt mixture (LSAM-50) under coupled temperature and stress effects. Fatigue tests were conducted across temperatures ranging from -15 °C to 35 levels (0.3-0.9 splitting tensile strength), with crack evolution tracked in real time using digital image correlation (DIC). Key parameters, including main length, density, curvature, fractal dimension, strain, analyzed characterize propagation. Results revealed a three-stage process: initiation, development, acceleration failure. Increasing or level accelerated horizontal/vertical displacement rates, expansion, strain accumulation, while reducing density dimension. A prediction model, LgN = 9.741 - 1.213Lgε 0.017T 1.579S (R2 0.954), was established, linking life (N) (ε), (T), (S). model enables precise estimation varying environmental conditions. For instance, predicts 60% reduction when rises 15 at S 0.7, highlighting its utility material selection for climate-resilient infrastructure, offering critical tool optimizing LSAM-50 pavement design. By integrating DIC-derived metrics mechanistic insights, this work not only enhances understanding but also provides valuable insights design optimization materials

Language: Английский

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