Dataset for Deep Learning - ANFIS configuration-study to analyze fracture resistance parameters of asphalt mixtures containing reclaimed asphalt within Weave-UNISONO 2021 project, NCN project No 2021/03/Y/ST8/00079, and GACR project GA22-04047K

Summary: Three types of asphalt concrete (AC) mixtures were investigated. They involved four grading types (AC 8, AC 11, AC 16, AC 22), three binder types (70/100, PMB 25/55–65, PMB 45/80–65), and three reclaimed asphalt contents (30%, 40%, 50%). The set of data for properties of the asphalt mixtures includes nominal maximum aggregate size (NMAS), RA content (RA%), bulk density, maximum density, air void content, bitumen content, and Stiffness Modulus (E), fracture toughness (KIC), fracture energy (GF) and flexibility index (FI) were utilized. The dataset includes: Outcomes of the experimental carried out on AC 8, AC 11, AC 16, AC 22 mixtures: 01 HMA composition.csv 02 HMA volumetric properties.csv 03 HMA mechanical properties.csv