The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination...
The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experim...
The rapid advance in information processing systems in recent decades directed engineering research towards the development of data driven models that can model natural phenomena automatically. This book describes the different types of data driven model (Artificial Neural Network, Support Vector Machine, Relevance Vector Machine, Least Square Support Vector Machine, Multivariate Adaptive Regression Spline, Genetic Programming, etc.)
The rapid advance in information processing systems in recent decades directed engineering research towards the development of data driven models that...
This book uses the upper bound limit analysis for determination of stability numbers for a two-layered soil slope both for an associated flow rule material and for a homogeneous slope with non-associated flow rule material. The effect of the pore water pressure and horizontal earthquake body forces was also included in the analysis. The results have been given in the form of non-dimensional stability charts, which can be used for readily obtaining either the value of the critical height or the factor of safety. An attempt has also been made in this book to study experimentally...
This book uses the upper bound limit analysis for determination of stability numbers for a two-layered soil slope both for an associated flow rule m...
The rapid advance in information processing systems in recent decades directed engineering research towards the development of various soft computing techniques that can model natural phenomena automatically. The new soft computing techniques (SVM, LSSVM, RVM, MARS) is being applied successfully to solve different engineering problems. But, the application of these new soft computing techniques in geotechnical engineering is very little. The proposed book will give an idea of these new soft computing techniques to geotechnical community. The application of these new soft computing techniques...
The rapid advance in information processing systems in recent decades directed engineering research towards the development of various soft computing ...
Examines the latest scholarly research on the application of computational models to improve the quality of engineering design. This volume features extensive coverage of a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches.
Examines the latest scholarly research on the application of computational models to improve the quality of engineering design. This volume features e...