This paper focuses on the response of circular machine foundation resting on different soils (sand and clay) through studying the variation of soil shear strength parameters and strain with the number of cycles. The objective of the current study is to explore the results related to the parameters of the dynamic load (number of loading cycles and frequency of load) related to the circular footi...

This paper presents a formalism for considering the issues of learning in design. A foundation for machine learning in design (MLinD) is defined so as to provide answers to basic questions on learning in design, such as, “What types of knowledge can be learnt?”, “How does learning occur?”, and “When does learning occur?”. Five main elements of MLinD are presented as the input knowledge, knowled...

How should we teach machine learning to a diverse audience? Is a ‘foundation-based’ approach appropriate or should we switch to a ‘techniques-oriented’ approach? We argue that the foundation-based approach is still the way to go. The foundation-based approach emphasizes the fundamentals first, before moving to algorithms or paradigms. Here, we focus on three key concepts in machine learning tha...

Improvement in manufacturing technology has provided machines of higher ratings with better tolerances and controlled behaviour. These machines give rise to considerably higher dynamic forces and thereby higher stresses and, in return, demand improved performance and safety leaving no room for failures. This paper highlights need for a better interaction between foundation designer and machine ...