Lifeline Earthquake Engineering


Book Description

This volume presents recent advances in research, practice, post earthquake investigation, and public policy in lifeline earthquake engineering as a discipline and as a component of infrastructure rehabilitation. Written by utility engineers, consultants, managers, and transportation agency personnel from various nations, papers review newer emerging topics of lifeline interaction and socio-economic effects, as well as hazard assessment methods, analysis procedures, and design approaches. Topics range from bridge analysis and rehabilitation to bridge earthquake damage assessment, electric power and communications to gas and liquid fuels. Case studies and papers detail the seismic assessment of offshore pipelines; above ground pipeline response to random ground motion; bridge prioritization for emergency responses; inspection and rehabilitation of tunnels across faults; and spectral characteristics of vertical ground motion in the Northridge and other earthquakes.













Critical Issues and State-of-the-art in Lifeline Earthquake Engineering


Book Description

Proceedings of the October 1995 session reviewing current practices and issues related to mitigating earthquake damage. The monograph's five contributions reflect developments since 1992 and the lessons learned from the Northridge and Kobe earthquakes. 5.5x8.5" Annotation copyright by Book News, Inc., Portland, OR
















Lifeline Engineering Systems


Book Description

This book, for the first time, introduces comprehensively all main topics of lifeline earthquake engineering, including the structure analysis, network evaluation, and network design. The distinctive features involved in this book are the construction of theories and methods for stochastic analysis of structures based the physical idea, probability analytical algorithms for network evaluation by employing Boolean Algebra, functional evaluation of water distribution networks using hydraulic analysis, and network design methods by employing genetic, simulated annealing, and hybrid algorithms.