Artificial Intelligence Techniques for Bridge Reliability Assessment: Digital Representation of Structure Response and Safety

Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service.

Linzhong Deng is a senior architect at ProPlus Solutions and a PhD candidate in Computational Mathematics & Engineering at Stanford University. He co-founded Revosys, which merged with ProPlus in 2008, to analyze SOC yield. He received a PhD in CE at CUNY in 2000. His research includes reliability analysis and sparse matrix computation.