1. INTRODUCTION, 2. LAYERED FUZZY AND FUZZY NEURO MODELS FOR CONCRETE MIX DESIGN, 3. CHARACTERIZATION OF EARLY STRENGTH OF CONCRETE THROUGH APPROXIMATE REASONING, 4. AN OPTIMUM NEURAL NETWORK MODEL: STRESS-STRAIN BEHAVIOR OF SFRC IN DIRECT COMPRESSION, 5. NEURAL NETWORK ASSISTED CATEGORIZATION AND INDEXING OF FLY ASHES, 6. OPTIMIZATION OF HIGH PERFORMANCE CONCRETE MIXES: AN ELITIST GENE......
Physical systems described by multiple variable and multiple parameter models having non-linear coupling, frequently occur in the fields of physics, engineering, technical applications, economy and so on. The conventional approaches for understanding and predicting the behavior of such systems based on analytical techniques can prove to be very difficult, even at the initial stages of establishing......
Preamble
Soft computing is a term originally coined by Zadeh (1965) to denote systems that exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. Traditionally, soft computing has been comprised by four technical disciplines. The first two, probabilistic reasoning and fuzzy logic (FL) are based......
Design of concrete mixture is a process by which human experts arrive at the right proportions of cement, aggregates, water and admixtures for making the concrete as per the required specifications. Though, there are technical principles that govern mix proportioning, the process is not entirely in the realm of science and is not amenable to precise mathematical formulations. It is practically imp......
The strength development in concrete with its age is essentially a constant volume solidification process, which is controlled by multitudes of parameters. However, the concrete mixes are designed for 28 day’s target compressive strength. In a more general characterisation, it can be said that increase in strength of concrete is achieved by decrease in water cement ratio (w/c) and decrease in aggr......
This chapter presents the development of an optimal neural network model for stress-strain behavior of steel fiber reinforced concrete in direct compression. For this, an algorithm which combines the Akaike’s information criterion (AIC) with the golden-section optimization technique has been implemented. The extensive computational experiments have been successful in finding a network topolo......
Cement is the most cost and energy–intensive component of concrete. The unit cost of concrete can be reduced by partial replacement of cement with fly ash, which is the by product of the combustion of pulverized coal and is collected by mechanical and electrostatic separators from the fuel gases of power plants where coal is used as a fuel. High-volume fly ash concrete has emerged as constructio......
The term high performance concrete (HPC) connotes a type of concrete that meets performance and uniformity requirements that cannot always be achieved routinely using conventional constituents. HPC is rather new terminology in concrete construction industry, taking the place of the well-known “high–strength concrete” in recent years. In addition to the four basic ingredients of the conventional co......
This chapter presents a summary of the thesis, a discussion of issues emerging from the research work, and implications for future practice and further research in the domain. The first section of the chapter begins with a summary of the thesis, which makes a contribution to the knowledge of the subject and draws attention to three aspects that make the study of special interest to others involved......