Books published by Elsevier - Health Sciences Division

Physical Security: 150 Things You Should Know, Second Edition is a useful reference for those at any stage of their security career. This practical guide covers the latest technological trends for managing the physical security needs of buildings and campuses of all sizes. Through anecdotes, case studies, and documented procedures, the authors have amassed the most complete collection of information on physical security available. Security practitioners of all levels will find this book easy to use as they look for practical tips to understand and manage the latest physical security technologies, such as biometrics, IP video, video analytics, and mass notification, as well as the latest principles in access control, command and control, perimeter protection, and visitor management.

Provides a new method for analysing collapse behaviours of buildings under various scenarios, such as impact, fire, blast demolition, earthquake, and tsunami. The analysis of the vulnerability of buildings against progressive collapse is a challenging task. Progressive Collapse of Structures: Numerical Codes and Applications provides a variety of numerical analysis tools and methods which allow engineers to simulate structural collapse behavior during all stages of the process. This book covers methods such as adaptively shifted integration (ASI) and ASI-Gauss techniques. Algorithms are supplied to simulate member fracture and contact behaviors. The author also supplies various numerical examples including case studies from the World Trade Center (WTC) towers in New York City, Nuevo Leon buildings in Mexico, and the collapse of the Canterbury Television (CTV) building in New Zealand. Discusses algorithms for simulating fracture and contact behaviors of structural membersCovers fire-induced progressive collapse analyses of high-rise towers, seismic pounding analysis of adjacent buildings, blast demolition analysis of steel-framed structures, and many moreIncludes numerical codes that supply highly accurate solutions with less memory use and small computational cost