A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Abstract The use of numerical methods to investigate the thermo-mechanical behaviour of polymers has become increasingly widespread in recent years as computational resources become more efficient and cost effective. Analytical techniques, while providing insights into scaling laws obeyed by these systems, suffer in their inability to incorporate or infer microscopic material details. Numerical models which capture the discrete nature of material structure offer the possibility to observe the microstructural features governing macroscopic response. Of course, the level of detail incorporated in any numerical model imposes limits on computationally accessible length/time scales. Monte Carlo methods appear to be ideally suited to attack one of the fundamental problems of polymer physics: determining the consequences of polymer chains sampling a large number of configurations on the macroscopic behaviour.
Abstract The use of numerical methods to investigate the thermo-mechanical behaviour of polymers has become increasingly widespread in recent years as computational resources become more efficient and cost effective. Analytical techniques, while providing insights into scaling laws obeyed by these systems, suffer in their inability to incorporate or infer microscopic material details. Numerical models which capture the discrete nature of material structure offer the possibility to observe the microstructural features governing macroscopic response. Of course, the level of detail incorporated in any numerical model imposes limits on computationally accessible length/time scales. Monte Carlo methods appear to be ideally suited to attack one of the fundamental problems of polymer physics: determining the consequences of polymer chains sampling a large number of configurations on the macroscopic behaviour.
Monte Carlo Techniques
1999-01-01
7 pages
Article/Chapter (Book)
Electronic Resource
English
Monte Carlo techniques in computational stochastic mechanics
| Springer Verlag | 1998
Monte Carlo Techniques applied to Polymer Deformation
| Springer Verlag | 1999
Progressive Damage Estimation Using Sequential Monte Carlo Techniques
| British Library Conference Proceedings | 2009
Monte Carlo Simulation Techniques For Predicting Hydropower Performance
| British Library Conference Proceedings | 1993
| NTIS | 1957