Fast nonlinear mechanical features decoupling to identify and predict asphalt-based composites

Nonlinear matrices employed in asphalt-based composites exhibit a prominent nonlinear elastic-viscoplastic-viscodamageable mechanical response. The constitutive model for this type of requires significant experimental effort to identify the material constants. To alleviate characterization without losing reliability prediction, paper presents fast procedure decoupling elasto-viscoplastic response from viscodamageable one and facilitating identification constants via efficient optimization. This relies on combined experimental–numerical also applicable other rheologically complex materials like polyurea, thermoplastics or polycrystals. part is deliberately designed only conduct cost- time-effective monotonic loads at different strain rates tension compression. These pure results are used predict more loading conditions such as multiple load–unload–reload (LUR) cycles. do this, an suitable describe creep-like phenomena large irreversible deformations proposed. incorporates pressure rate sensitivity, which essential capture compression–tension asymmetry composites. A rate-dependent damage proposed degradation part. stress consistent tangent modulus derived. implementation user-defined finite element subroutines given explicit implicit solvers. facilitates constant parameters in-house Nelder–Mead-based optimization method. accelerate identification, all stress–strain curves, either compression, simultaneously with applying physically-based constrains. framework validated asphalt matrix room temperature (24 °C) verified under LUR rates. identified predicts correctly observations, proving its applicability investigate particle-based highly matrices.