Grading Curves Of Aggregates
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Construction Materials
Thoroughly revised and updated, the third edition of this popular textbook continues to provide a comprehensive coverage of the main construction materials for undergraduate students of civil engineering and construction related courses. It creates an understanding of materials and how they perform through a knowledge of their chemical and physical structure, leading to an ability to judge their behaviour in service and construction. Materials covered include; metals and alloys, concrete, bituminous materials, brickwork and blockwork, polymers and fibre composites. Each material is discussed in terms of: structure; strength and failure; durability; deformation; practice and processing. The sections on concrete, polymers and fibre composites have been significantly revised. Descriptions of important properties are related back to the structure and forward to basic practical considerations. With its wealth of illustrations and reader-friendly style and layout Construction Materials.
Aggregates in Concrete
Bringing together in one volume the latest research and information, this book provides a detailed guide to the selection and use of aggregates in concrete. After an introduction defining the purpose and role of aggregates in concrete, the authors present an overview of aggregate sources and production techniques, followed by a detailed study of their physical, mechanical and chemical properties. This knowledge is then applied to the use of aggregates in both plastic and hardened concretes, and in the overall mix design. Special aggregates and their applications are discussed in detail, as are the current main specifications, standards and tests.
Computer Modelling of Concrete Mixtures
The complexity of specifications and the number of materials options available today for concrete production mean that the traditional procedure of making trial mixes is now unnecessary, expensive and time consuming. Using J.D Dewar's research, this book shows how a small amount of materials data can be used confidently to predict the composition o