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Wet Mix Macadam (WMM) has emerged as a preferred method for constructing strong, stable road base and sub-base layers. Its advantages over traditional Water Bound Macadam (WBM) — such as faster construction, higher strength, and better performance under traffic loads — have led to its widespread adoption.
To achieve the desired quality in WMM, material selection plays a critical role. The Indian Roads Congress (IRC), through IRC Code 109-2015, specifies clear standards and selection criteria for materials used in WMM.
This blog explores these specifications in detail, helping engineers make informed decisions during road project execution.
TestRequirementTest MethodLos Angeles Abrasion Value≤ 40%IS:2386 (Part IV)Aggregate Impact Value≤ 30%IS:2386 (Part IV) or IS:5640Combined Flakiness & Elongation Index≤ 35%IS:2386 (Part I)Soundness (if water absorption > 2%)≤ 12% (with Sodium Sulphate)IS:2386 (Part V)
IRC Code 109-2015 provides precise grading limits (Table 2) to ensure proper particle distribution.
IS Sieve Designation% Passing53 mm10045 mm95–10022.4 mm60–8011.2 mm40–604.75 mm25–402.36 mm15–30600 micron6–1875 micron4–8
Additional Requirements:
Material Key Selection Criteria Coarse Aggregates Grading, strength, durability, flakiness, elongation, soundness Fine Aggregates Angular, non-plastic, proper grading Water Clean, free from harmful substances Overall Mix Meets grading envelope, proper fines content, low PI
Selecting the right materials — and ensuring they meet the stringent requirements of IRC Code 109-2015 — is essential for constructing high-quality Wet Mix Macadam layers.
By adhering to the specified grading limits, physical standards, and moisture control guidelines, engineers can deliver durable, stable, and high-performance road bases — critical for long-lasting pavements.
For project success, material selection should never be compromised. Following IRC 109-2015 is the key to ensuring best-in-class WMM construction.
RoadVision AI is revolutionizing road infrastructure development and maintenance with its innovative solutions powered by computer vision AI. By leveraging advanced technologies, the platform conducts comprehensive road condition monitoring and traffic surveys, enabling early detection of surface issues like potholes and cracks for timely repairs and enhanced roads. Through traffic congestion analysis, RoadVision AI provides data-driven insights to address traffic congestion challenges and optimize road usage. With a focus on building smarter and more efficient road infrastructure, RoadVision AI ensures full compliance with IRC Codes, helping engineers and stakeholders reduce costs, minimize risks, and improve road safety and transportation efficiency.