Development of Indirect Tensile Strength (ITS) model and resilient modulus assessment considering moisture conditions on bituminous mixtures
摘要
The performance of the flexible pavement is significantly influenced by compaction temperature, moisture condition and Indirect Tensile Strength (ITS) in addition to the volumetric properties of the bituminous mixture. The objective of the present study is to investigate the influence of volumetric characteristics and compaction temperature on the Indirect Tensile Strength (ITS) considering the traffic and moisture conditions. The volumetric properties considered for the study include air voids, stability, and flow. Similarly, the compaction temperatures for the study include 130 °C, 140 °C, and 150 °C. The moisture impact is replicated by dry and wet conditioning. The study further aims to develop ITS model for heavy, medium, and light traffic conditions considering the influence of moisture effect. The critical parameters of the model are determined based on statistical t test. The developed ITS model offers a distinct advantage by integrating key parameters such as traffic conditions, moisture levels, and compaction temperature. Furthermore, Computer Tomography (CT) image processing is performed using the MATLAB tool to validate the findings of the volumetric property of the bituminous mix. This study extensively examined the interacting influences of volumetric characteristics, compaction effort, temperature, and moisture conditions on the Indirect Tensile Strength (ITS) of bituminous mixes. The study revealed that the air voids, stability, flow and compaction temperature were significantly influenced by Indirect Tensile Strength (ITS). From the experimental investigation, ITS model was proposed for dry and wet conditions for heavy, medium and light traffic conditions. Furthermore, the study ascertained the resilient modulus of the bituminous layer employing the conventional empirical technique in accordance with Indian Road Congress (IRC) criteria, as well as the proposed ITS model. A 23.94% increase was observed in low traffic conditions at a compaction temperature of 150 °C in dry conditions, whereas in wet conditions, the resilient modulus showed a 14.55% increase relative to the conventional IRC 37 guidelines. The present study proposes an alternative approach by developing an ITS-based predictive model for estimating the resilient modulus, a parameter that usually necessitates sophisticated and expensive testing equipment for direct measurement. This contribution aims to bridge the gap between practical field applications and performance-based pavement design.