Machine learning (ML)  approaches have been extensively and successfully employed in various areas, like in economics, medical predictions,  face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time.  With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of  modeling and simulation can be opened but...

Machine learning (ML)  approaches have been extensively and successfully employed in various areas, like in economics, medical predictions,  face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time.  With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of  modeling and simulation can be opened but...

The volume showcases how basic formulation and solution methods can be used for an improved understanding of stability-affected structures. It also highlights the numerical treatment of the resulting equations, demonstrating and quantifying many aspects of structural stability not available to engineers by the traditional methods. The elaborated theoretical background is also used to show how methods included in commercial software can give misleading conclusions. The book will be of interest to researchers and professionals working in computational modelling of structures. The book includes...