Recent estimates hypothesize that the US will need $1.6 trillion
dollars for the rehabilitation, replacement, and maintenance of
existing infrastructure systems within the next 20 years.
Presenting a new vision and way of designing and managing the civil
infrastructure of the nation, Intelligent Infrastructure: Neural
Networks, Wavelets, and Chaos Theory for Intelligent Transportation
Systems and Smart Structures presents the foundations of
intelligent infrastructure. It presents novel technologies,
methods, and detailed computational algorithms for creation of
smart structures and intelligent freeways.
This book crosses the two disciplines of structural engineering
and transportation engineering and provides a unique treatise for
attacking and solving some of the most complex and intractable
problems encountered in the emerging fields of smart structures and
intelligent transportation systems. It demonstrates how some of
these problems can be solved effectively through ingenious
integration of several different computing paradigms including
chaos theory (based on nonlinear dynamics theory), wavelets (a
signal processing method), and three complementary soft computing
methods: fuzzy logic, neural networks, and genetic algorithms.
Adeli and Jiang discuss multidisciplinary methodologies for
health and monitoring and nonlinear active control of tall building
structure subject to dynamic loading such as those due to winds or
earthquake. Delineating an approach to infrastructure system
engineering and management that is both modern and futuristic, the
authors explore the advanced computing technologies that will play
an important role in the creation of an effective smart structure
technology.
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