Effect of Soil Parameters on High Velocity Projectile Penetration

A parameter analysis is performed on an analytical penetration model which has been recently developed. Figures are plotted to show how the disturbed zone size, parameters of displacement and stress fields and dynamic section pressure are dependent on soil compressibility, shear strength and mass density. Main results are presented and discussed

Bullet impacts and built heritage damage 1640–1939

© 2018, The Author(s). Conflict damage to heritage has been thrust into the global spotlight during recent conflict in the Middle East. While the use of social media has heightened and enhanced public awareness of this ‘cultural terrorism’, the occurrence of this type of vandalism is not new. In fact, as this study demonstrates, evidence of the active targeting of sites, as well as collateral damage when heritage is caught in crossfire, is widely visible around Europe and further afield. Using a variety of case studies ranging from the 1640s to the 1930s, we illustrate and quantify the changing impact of ballistics on heritage buildings as weaponry and ammunition have increased in both energy and energy density potential. In the first instance, this study highlights the increasing threats to heritage in conflict areas. Second, it argues for the pressing need to quantify and map damage to the stonework in order to respond to these challenges

Effective Cross-Platform, Multilevel Parallelism via Dynamic Adaptive Execution

This paper presents preliminary efforts to develop compilation and execution environments that achieve performance portability of multilevel parallelization on hierarchical architectures. Using the NAS parallel benchmarks, we first illustrate the lack of portable performance on stateof-the-art scalable parallel systems despite the use of two portable programming models, MPI and OpenMP. Then we present a dynamic compilation and execution framework that provides the desired portability through the use of program slices. These slices are used to select the optimal program decomposition on each architecture. Currently, our framework uses a simple incremental algorithm, which effectively identifies single or multi-level program decompositions that maximize performance. This algorithm can be used as a rule of thumb for automatic multilevel parallelization. The effectiveness of the approach is demonstrated on the NAS benchmarks running on two architectural platforms. 1