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Books > Professional & Technical > Civil engineering, surveying & building
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Butte
(Hardcover)
Ken Hamlin, Terry Lonner, Martha Lonner
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R624
Discovery Miles 6 240
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Ships in 12 - 17 working days
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This book reviews the fundamentals of this local climatic
phenomenon as a gateway to solving the challenging problems of
rapid urbanization in the face of climate change. This work uses
the dimensions and principles of urban planning and design, and
landscape architecture in conjunction with the competence of
environmental design to reduce the impact of this phenomenon. The
book focuses on five SDGs to explain the problems that urban
residents suffer because of high temperatures or the formation of
heat islands. These selected SDGs are Goals 1, 3, 8, 11, and 13.
Some of which can be limited to affecting the health status,
productive capacity, social and economic well-being, and the
feeling of distress and aggressive behavior. This book focuses on
five SDGs: poverty (Goal 1), public health and well-being (Goal 3),
decent work and economic growth (Goal 8), sustainable cities and
societies (Goal 11), and climate action (Goal 13). These goals are
associated with the increasing UHI phenomenon that accompanies
rapid urbanization, which has changed the way of life of many
countries worldwide. Thus, this book aims to reach sustainable
cities and societies that do not suffer from poverty and disease
due to climatic change and where decent work and social and
economic well-being is achieved. The prime audience includes
experts working in architecture, site planning and design, urban
planning and design, landscape architecture, sustainable urban
design, and environmental design. In addition, the book focuses on
researchers, academics, practitioners, and urban governance,
developers, and policymakers. Significantly, the target audience
can get more insights into using new paradigms, methods,
techniques, modelings, and research applications.
This deeply researched book tells of Brunel's solution to getting
the Cornwall Railway across the very considerable obstacle of the
River Tamar at Saltash was the magnificent Royal Albert Bridge. Its
unique design and handsome proportions make it one of his most
outstanding works.
Most high performance structures require the development of a
generation of new materials, which can more easily resist a range
of external stimuli or react in a non-conventional manner. Formed
of research works presented at the 10th International Conference on
High Performance and Optimum Design of Structures and Materials,
the included papers cover issues involving advanced types of
structures, particularly those based on new concepts or new
materials and their system design. Contributions highlight the
latest developments in design, optimisation, manufacturing and
experimentation. There is also a focus on the search for higher
performance sustainable materials. Particular emphasis is placed on
intelligent structures and materials as well as the application of
computational methods for their modelling, control and management.
Optimisation problems are also covered, including those related to
the size, shape and topology of structures and materials.
Optimisation techniques have much to offer to those involved in the
design of new industrial products. The development of new
algorithms and the appearance of powerful commercial computer codes
with easy to use graphical interfaces has created a fertile field
for the incorporation of optimisation in the design process in all
engineering disciplines.
In recent years, artificial intelligence (AI) has drawn significant
attention with respect to its applications in several scientific
fields, varying from big data handling to medical diagnosis. A
tremendous transformation has taken place with the emerging
application of AI. AI can provide a wide range of solutions to
address many challenges in civil engineering. Artificial
Intelligence and Machine Learning Techniques for Civil Engineering
highlights the latest technologies and applications of AI in
structural engineering, transportation engineering, geotechnical
engineering, and more. It features a collection of innovative
research on the methods and implementation of AI and machine
learning in multiple facets of civil engineering. Covering topics
such as damage inspection, safety risk management, and information
modeling, this premier reference source is an essential resource
for engineers, government officials, business leaders and
executives, construction managers, students and faculty of higher
education, librarians, researchers, and academicians.
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