Effects of 3D Concrete Printing Phases on the Mechanical Performance of Printable Strain-Hardening Cementitious Composites

Several studies have shown the potential of strain-hardening cementitious composites (SHCC) as a self-reinforcing printable mortar. However, papers published on the development of three-dimensional printable SHCC (3DP-SHCC) often report a discrepancy between the mechanical properties of the cast and printed specimens. This paper evaluates the...

基于分段步进式弹塑性格构模型的混凝土破坏过程细观模拟

The classically lattice model assumes the local elements behave elastic brittle, neglecting the ductility of the mortar matrix. This leads to the simulated load⁃displacement response more brittle than the realistic. To solve the aforementioned issue, a piece⁃wise approach was introduced to describe the elastic⁃plastic constitutive relation of...

A review of methods on buildability quantification of extrusion-based 3D concrete printing: From analytical modelling to numerical simulation

Herein, different kinds of methods for buildability quantification of 3D concrete printing are reviewed, including experimental approaches, analytical modelling, and numerical simulations. A brief introduction on printing process is first given. This discusses the material properties in different stages. Material printability, which...

An enhanced lattice beam element model for the numerical simulation of rate-dependent self-healing in cementitious materials

This paper describes the development of a discrete lattice model for simulating structures formed from self-healing cementitious materials. In particular, a new approach is presented for simulating time dependent mechanical healing in lattice elements. The proposed formulation is designed to simulate the transient damage and healing behaviour...

Microstructure-informed deep convolutional neural network for predicting short-term creep modulus of cement paste

This study aims to provide an efficient alternative for predicting creep modulus of cement paste based on Deep Convolutional Neural Network (DCNN). First, a microscale lattice model for short-term creep is adopted to build a database that contains 18,920 samples. Then, 3 DCNNs with different consecutive convolutional layers are built to learn...

Lattice Fracture Model for Concrete Fracture Revisited: Calibration and Validation

The lattice fracture model is a discrete model that can simulate the fracture process of cementitious materials. In this work, the Delft lattice fracture model is reviewed and utilized for fracture analysis. First, a systematic calibration procedure that relies on the combination of two uniaxial tensile tests is proposed to determine the input...

Lattice Model For Numerical Analysis Of Fracture Process Of Concrete Material Under Various Loading Conditions

The aim of this work is to investigate the fracture process of concrete under various boundary conditions. Although numerous concrete fracture tests have been reported, showing the failure behavior of concrete, their evaluation is ambiguous due to the limitations of specimen size and experimental conditions. Therefore, it is necessary to use...