Automatic enhancement of vascular configuration for self-healing concrete through reinforcement learning approach

Vascular self-healing concrete (SHC) has great potential to mitigate the environmental impact of the construction industry by increasing the durability of structures. Designing concrete with high initial mechanical properties by searching a specific arrangement of vascular structure is of great importance. Herein, an automatic optimization...

Optimization of vascular structure of self-healing concrete using deep neural network (DNN)

In this paper, optimization of vascular structure of self-healing concrete is performed with deep neural network (DNN). An input representation method is proposed to effectively represent the concrete beams with 6 round pores in the middle span as well as benefit the optimization process. To investigate the feasibility of using DNN for...

Shape characterization of concrete aggregate

As a composite material, the performance of concrete materials can be expected to depend on the properties of the interfaces between its two major components, aggregate and cement paste. The microstructure at the interfacial transition zone (ITZ) is assumed to be different from the bulk material. In general, properties of conventional concrete...

Gradient plasticity in numerical simulation of concrete cracking

Numerical Simulation of Deformation and Cracking in Maturing Concrete

Constitutive Model for Reinforced Concrete

Finite-Element Modeling of Deformation and Cracking in Early-Age Concrete

Computational mechanics: Recent developments in DIANA ; Mecanique par ordinateur: developpements recents realises a l'aide du logiciel DIANA

A comparison of different crack models applied to plain and reinforced concrete