Abstract As nanoscale reinforcements, the graphene and oxide nanoplates exhibit distinct mechanical physical properties. The determination of effective elasto-plastic behavior nanoplate/ceramic nanocomposites different filling effects nanoplate deserve systematic investigation. In this work, we intend to uncover how affect macroscopic characteristics ceramic matrix what differences in both enha...

Abstract Aiming at the situation that bottom of pile foundation contains sediment defects, theoretical analysis vertical bearing characteristics is carried out. Based on load transfer mechanism pile-soil system and based function elastoplasticity soil side weakening trifold line end pile, a calculation model for bored cast-in-place piles with slag defects under different conditions was establis...

Accurate numerical simulations require constitutive models capable of providing precise material data. Several calibration methodologies have been developed to improve the accuracy models. Nevertheless, a model’s performance is always constrained by its mathematical formulation. Machine learning (ML) techniques, such as artificial neural networks (ANNs), potential overcome these limitations. us...

This paper investigates the fatigue cyclic deformation behavior of mid-carbon steel. Uniaxial tensile loading tests and under constant multi-step amplitude steps are performed to characterize influence history. The material is shown exhibit different uniaxial ratcheting depending on A smooth gradual increase in softening observed smaller stress/strain conditions. Based experimental characteriza...

This paper presents a two-dimensional interface model for timber-concrete contacts, that has been developed based on the empirical observations from set of friction tests and additional micromechanical assumptions. In tangential direction, accounts initial bonding debonding between surfaces, different static kinetic as well smooth transition them, effects load reversal, pressure-dependence in s...

Elastoplasticity models often introduce a scalar-valued yield function to implicitly represent the boundary between elastic and plastic material states. This paper introduces new alternative where envelope is represented by manifold of which topology geometry are learned from set data points in parametric space (e.g. principal stress space, ?-plane). Here, deep geometric learning enables us rec...