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Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets. Uniquely applies the new powerful too...
Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures
This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete structures, which are challenging to achieve using conventional design methods. Using ANN-based design charts, the holistic design of a post-tensioned beam is performed to optimize design targets (objective functions), while calculating 21 forward outputs, in arbitrary sequences, from 21 forward inputs. Applies the powerful tools of ANN to the ...
AI-Based Optimized Design of Structural Frames
This book introduces an auto‐design‐based optimization for building frames using an artificial neural network (ANN)‐based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph‐Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames. New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers ...
AI-Based Optimized Design of Structural Frames
This book introduces an auto-design-based optimization for building frames using an artificial neural network (ANN)-based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph-Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames. New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an ...
Artificial Intelligence-Based Design of Reinforced Concrete Structures
Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures. Those who have not had the opportunity to...
Composite Precast Systems
Hybrid Composite Precast Systems: Numerical Investigation to Construction focuses on the design and construction of novel composite precast frame systems that permit almost effortless erection and structural efficiency. The precast frame systems discussed in the book are similar to that of steel frames, but offer similar savings to concrete frames. The design of connections and detailed analysis of their structural behavior is discussed in detail. Fundamentals with regards to the post yield behavior of concrete and metal are also presented to illustrate how these two different materials are integrated together to remove individual material drawbacks. Readers are given a broad introduction to...
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets. Uniquely applies the new powerful too...
Communication and Networking
The two volume set, CCIS 265 and CCIS 266, constitutes the refereed proceedings of the International Conference, FGCN 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of future generation communication and networking.
Architecture of Computing Systems - ARCS 2007
This book constitutes the refereed proceedings of the 20th International Conference on Architecture of Computing Systems, ARCS 2007, held in Zurich, Switzerland in March 2007. Coverage details a broad range of research topics related to basic technology, architecture, and application of computing systems with a strong focus on system aspects of pervasive computing and self organization techniques in both organic and autonomic computing.
Grid Computing - GRID 2000
Welcome to GRID 2000, the first annual IEEE/ACM international workshop on grid computing sponsored by the IEEE Computer Society’s Task Force on Cluster Computing (TFCC) and the Association for Computing Machinery (ACM). The workshop has received generous sponsorship from the European Grid Forum (eGrid), the EuroTools SIG on Metacomputing, Microsoft Research (USA), Sun Microsystems (USA), and the Centre for Development of Advanced Computing (India). It is a sign of the current high levels of interest and activity in Grid computing that we have had contributions to the workshop from researchers and developers in Australia, Austria, Canada, France, Germany, Greece, India, Italy, Japan, Korea,...
