Table 1 Aggregate gradations (4C and 3D) used in the mixes (The Egyptian code for urban and rural roads (ECP, 2008) part (4)) [33]
From: Prediction of the hot asphalt mix properties using deep neural networks
Sieve size | Limits | |||
|---|---|---|---|---|
Wearing surface (4C) | Binder layer (3D) | |||
Min | Max | Min | Max | |
% Passing from sieve 1 in | 100 | 100 | 100 | 100 |
% Passing from sieve 3/4 in | 80 | 100 | 75 | 100 |
% Passing from sieve 3/8 in | 60 | 80 | 45 | 70 |
% Passing from sieve number 4 | 48 | 65 | 30 | 50 |
% Passing from sieve number 8 | 35 | 50 | 20 | 35 |
% Passing from sieve number 30 | 19 | 30 | 5 | 20 |
% Passing from sieve number 50 | 13 | 23 | 3 | 12 |
% Passing from sieve number 100 | 7 | 15 | 2 | 8 |
% Passing from sieve number 200 | 3 | 8 | 0 | 4 |