This book is the companion volume to Design Examples for High Strength Steel Reinforced Concrete Columns - A Eurocode 4 Approach. Guidance is much needed on the design of high strength steel reinforced concrete (SRC) columns beyond the remit of Eurocode 4. Given the much narrower range of permitted concrete and steel material strengths in comparison to EC2 and EC3, and the better ductility and buckling resistance of SRC columns compared to steel or reinforced concrete, there is a clear need for design beyond the guidelines. This book looks at the design of SRC columns using high strength concrete, high strength structural steel and high strength reinforcing steel materials - columns with concrete cylinder strength up to 90 N/mm2, yield strength of structural steel up to 690 N/mm2 and yield strength of reinforcing steel up to 600 N/mm2 respectively. The companion volume provides detailed worked examples on use of these high strength materials. This book is written primarily for structural engineers and designers who are familiar with basic EC4 design, and should also be useful to civil engineering undergraduate and graduate students who are studying composite steel concrete design and construction. Equations for design resistances are presented clearly so that they can be easily programmed into design spreadsheets for ease of use.

This book is the companion volume to Design of High Strength Steel Reinforced Concrete Columns - A Eurocode 4 Approach. This book provides a large number of worked examples for the design of high strength steel reinforced concrete (SRC) columns. It is based on the Eurocode 4 approach, but goes beyond this to give much needed guidance on the narrower range of permitted concrete and steel material strengths in comparison to EC2 and EC3, and the better ductility and buckling resistance of SRC columns compared to steel or reinforced concrete. Special considerations are given to resistance calculations that maximize the full strength of the materials, with concrete cylinder strength up to 90 N/mm2, yield strength of structural steel up to 690 N/mm2 and yield strength of reinforcing steel up to 600 N/mm2 respectively. These examples build on the design principles set out in the companion volume, allowing the readers to practice and understand the EC4 methodology easily. Structural engineers and designers who are familiar with basic EC4 design should find these design examples particularly helpful, whilst engineering undergraduate and graduate students who are studying composite steel concrete design and construction should easily gain further understanding from working through the worked examples which are set out in a step-by-step clearly fashion.

This book is the companion volume to Design of High Strength Steel Reinforced Concrete Columns - A Eurocode 4 Approach. This book provides a large number of worked examples for the design of high strength steel reinforced concrete (SRC) columns. It is based on the Eurocode 4 approach, but goes beyond this to give much needed guidance on the narrower range of permitted concrete and steel material strengths in comparison to EC2 and EC3, and the better ductility and buckling resistance of SRC columns compared to steel or reinforced concrete. Special considerations are given to resistance calculations that maximize the full strength of the materials, with concrete cylinder strength up to 90 N/mm2, yield strength of structural steel up to 690 N/mm2 and yield strength of reinforcing steel up to 600 N/mm2 respectively. These examples build on the design principles set out in the companion volume, allowing the readers to practice and understand the EC4 methodology easily. Structural engineers and designers who are familiar with basic EC4 design should find these design examples particularly helpful, whilst engineering undergraduate and graduate students who are studying composite steel concrete design and construction should easily gain further understanding from working through the worked examples which are set out in a step-by-step clearly fashion.

This book is the companion volume to Design Examples for High Strength Steel Reinforced Concrete Columns - A Eurocode 4 Approach. Guidance is much needed on the design of high strength steel reinforced concrete (SRC) columns beyond the remit of Eurocode 4. Given the much narrower range of permitted concrete and steel material strengths in comparison to EC2 and EC3, and the better ductility and buckling resistance of SRC columns compared to steel or reinforced concrete, there is a clear need for design beyond the guidelines. This book looks at the design of SRC columns using high strength concrete, high strength structural steel and high strength reinforcing steel materials - columns with concrete cylinder strength up to 90 N/mm2, yield strength of structural steel up to 690 N/mm2 and yield strength of reinforcing steel up to 600 N/mm2 respectively. The companion volume provides detailed worked examples on use of these high strength materials. This book is written primarily for structural engineers and designers who are familiar with basic EC4 design, and should also be useful to civil engineering undergraduate and graduate students who are studying composite steel concrete design and construction. Equations for design resistances are presented clearly so that they can be easily programmed into design spreadsheets for ease of use.

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI's scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI's scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.