A Coupled Pore-Scale Modelling Approach to Capture Macro-Scale Stress-Dependent Permeability of Rocks

Author(s):  
Keivan Khaleghi ◽  
Stephen Talman ◽  
Alireza Rangriz Shokri ◽  
Bauyrzhan K. Primkulov ◽  
Abel S. Juncal ◽  
...  
Materials ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 3693 ◽  
Author(s):  
Pham ◽  
Döbrich ◽  
Trümper ◽  
Gereke ◽  
Cherif

Weft-knitted fabrics offer an excellent formability into complex shapes for composite application. In biaxial weft-knitted fabric, additional yarns are inserted in the warp (wale-wise) and weft (course-wise) directions as a reinforcement. Due to these straight yarns, the mechanical properties of such fabrics are better than those of unreinforced weft-knitted fabrics. The forming process of flat fabrics into 3D preforms is challenging and requires numerical simulation. In this paper, the mechanical behavior of biaxial weft-knitted fabrics is simulated by means of macro- and meso-scale finite element method (FEM) models. The macro-scale modelling approach is based on a shell element formulation and offers reasonable computational costs but has some limitations by the description of fabric mechanical characteristics and forming behavior. The meso-scale modelling approach based on beam elements can describe the fabric’s mechanical and forming characteristics better at a higher computational cost. The FEM models were validated by comparing the results of various simulations with the equivalent experiments. With the help of the parametric models, the forming of biaxial weft-knitted fabrics into complex shapes can be simulated. These models help to predict material and process parameters for optimized forming conditions without the necessity of costly experimental trials.


Author(s):  
Nishant Verma ◽  
Himanshu Pathak ◽  
Sunny Zafar

The ultra-high molecular weight polyethylene (UHMWPE) is a popular biomaterial. Pre-clinical evaluation of UHMWPE in terms of wear resistance is extremely important to avoid the effect of implant loosening after implantation. This work proposed an efficient and accurate computational modelling approach to predict elasto-plastic properties at meso-scale, and further integrated at macro-scale to predict adhesive wear in dry tribo-pairs condition. The representative volume element (RVE) based finite element technique was used to predict elastoplastic behaviour of nano-hydroxyapatite (nHA) reinforced UHMWPE composite. The predicted values were validated experimentally and applied as a material property of pin during a numerical investigation of adhesive wear by a macro-scale modelling approach. The CoCr alloy was taken as the counter disc material. The integration of Archard's wear model and user-subroutine was done for numerical prediction of wear. The numerically obtained wear rate and friction coefficient results were validated experimentally by a pin on the disc wear setup under dry conditions. The fabrication of the specimen for validation was done by microwave-assisted compression moulding (MACM). The microstructural investigation of worn surfaces was done by scanning electron microscopy (SEM) to understand the mechanism of adhesive wear. The surface mapping of worn surfaces was done using an optical profilometer to observe the surface roughness after adhesive wear. Biocompatibility of the composite material was confirmed by In-vitro direct contact cytotoxicity test


Author(s):  
K. R. Daly ◽  
T. Roose

In this paper, we use homogenization to derive a set of macro-scale poro-elastic equations for soils composed of rigid solid particles, air-filled pore space and a poro-elastic mixed phase. We consider the derivation in the limit of large deformation and show that by solving representative problems on the micro-scale we can parametrize the macro-scale equations. To validate the homogenization procedure, we compare the predictions of the homogenized equations with those of the full equations for a range of different geometries and material properties. We show that the results differ by ≲ 2 % for all cases considered. The success of the homogenization scheme means that it can be used to determine the macro-scale poro-elastic properties of soils from the underlying structure. Hence, it will prove a valuable tool in both characterization and optimization.


2020 ◽  
Author(s):  
Ryan Payton ◽  
Yizhuo Sun ◽  
Andrew Kingdon ◽  
Saswata Hier-Majumder

2021 ◽  
Vol 235 ◽  
pp. 116500
Author(s):  
Yongli Wu ◽  
Qinfu Hou ◽  
Zheng Qi ◽  
Aibing Yu

2017 ◽  
Vol 78 (1) ◽  
pp. 2645-2658 ◽  
Author(s):  
Luca Mastropasqua ◽  
Alessandro Donazzi ◽  
Stefano Campanari

Sign in / Sign up

Export Citation Format

Share Document