Study on the Suitability of Concrete Constitutive Models for Perforation Simulation.

Materials (Basel)

State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China.

Published: November 2024

The choice of constitutive model significantly affects the accuracy of concrete perforation simulation. This study analyzes four concrete constitutive models, HJC, RHT, KCC, and TCK, focusing on their strength models, damage evolution, and strain rate effects. Combining the damage pattern and erosion cracks, the effectiveness of the four constitutive models in simulating the penetration of reinforced concrete targets is evaluated using LS-DYNA 11.0. The results indicate that the RHT and TCK models accurately depict the concrete damage and failure modes under the same test conditions. In contrast, the KCC and HJC models demonstrate superior capability in predicting the residual velocity of the projectile. Additionally, this study highlights the significant impact of the erosion parameters on the simulation results. This study offers a valuable reference for the application and parameter set of constitutive models in simulating concrete target perforation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11595891PMC
http://dx.doi.org/10.3390/ma17225562DOI Listing

Publication Analysis

Top Keywords

constitutive models
16
concrete constitutive
8
perforation simulation
8
simulation study
8
models simulating
8
models
7
concrete
6
constitutive
5
study
4
study suitability
4

Similar Publications

Purpose: Invasive pulmonary aspergillosis (IPA) is a life-threatening opportunistic infection in immunocompromised patients. The diagnosis is often made late, with mortality reaching 90% when mechanical ventilation is needed. We sought to develop and validate a risk prediction model for the diagnosis of IPA.

View Article and Find Full Text PDF

Contact Dynamic Behaviors of Magnetic Hydrogel Soft Robots.

Gels

December 2024

Department of Mechanics and Engineering Science, School of Physics, Nanjing University of Science and Technology, Nanjing 210094, China.

Magnetic hydrogel soft robots have shown great potential in various fields. However, their contact dynamic behaviors are complex, considering stick-slip motion at the contact interface, and lack accurate computational models to analyze them. This paper improves the numerical computational method for hydrogel materials with magneto-mechanical coupling effect, analyses the inchworm-like contact motion of the biomimetic bipedal magnetic hydrogel soft robot, and designs and optimizes the robot's structure.

View Article and Find Full Text PDF

Structured Dynamics in the Algorithmic Agent.

Entropy (Basel)

January 2025

Computational Neuroscience Group, Universitat Pompeu Fabra, 08005 Barcelona, Spain.

In the Kolmogorov Theory of Consciousness, algorithmic agents utilize inferred compressive models to track coarse-grained data produced by simplified world models, capturing regularities that structure subjective experience and guide action planning. Here, we study the dynamical aspects of this framework by examining how the requirement of tracking natural data drives the structural and dynamical properties of the agent. We first formalize the notion of a using the language of symmetry from group theory, specifically employing Lie pseudogroups to describe the continuous transformations that characterize invariance in natural data.

View Article and Find Full Text PDF

We study a multi-body finite element model of a packing of hydrogel particles using the Flory-Rehner constitutive law to model the deformation of the swollen polymer network. We show that while the dependence of the pressure, , on the effective volume fraction, , is virtually identical to a monolithic Flory material, the shear modulus, , behaves in a non-trivial way. increases monotonically with from zero and remains below about 80% of the monolithic Flory value at the largest we study here.

View Article and Find Full Text PDF

This paper investigates the impact of treatment with chemical solutions of varying pH values on the micro-macroscopic damage in coal samples under load, employing a combination of Small Angle X-ray Scattering (SAXS) experiments and uniaxial compression tests. The experimental results show that soaking coal samples in NaOH, HCl, and distilled water for 7 days leads to reductions in uniaxial compressive strength by 39.19%, 47.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!