Improvement of beam type element models of welded tubular junctions for fatigue analysis using artificial neural networks.

The use of numerical methods for structural analysis has been increasingly integrated within the design process in different engineering fields over the last decades, inasmuch as the capacity of the computing resources have growth. This gave rise to calculation techniques based on virtual models such as the finite element method, which is nowadays a reference method for evaluation of complex tubular structures with vast application in the industry. For such type of structures, modeling approaches based on beam type elements are usually employed since they provide simplicity and low computational costs.

Shifting Perceptions and Emotional Responses to Autonomous Vehicles Using Simulated Experiences.

The societal integration of autonomous vehicles (AVs) relies on public acceptance, closely related to individual emotions and perceptions. This study explores the emotional factors affecting AV acceptance in Spain through lexical tasks, virtual AV simulations, and questionnaires, surpassing traditional attitude surveys by examining subtle emotional and lexical reactions to AVs. Acceptance was measured in terms of AV knowledge, perception of autonomous driving, and safety, with emphasis on lexical-emotional analysis after simulation.

Validation of Alternative Beam T-Junction Fem Models for Complex Tubular Structures.

The finite element analysis of tubular structures is typically based on models constructed employing beam-type elements. This modeling technique provides a quick and computationally efficient option for calculation. Nevertheless, it shows a series of limitations related to the simplicity of this type of element, among which the inability of accounting for the stiffness behavior at the joint level is of notable importance when modeling complex tubular structures.