Probabilistic Design and Optimization on Nonlinear Reinforced Concrete Frames

A structural optimization algorithm which includes global displacements as decision variables is presented. The formulation addresses the possibility of using a universal procedure for obtaining optimal solutions independently of local code restrictions. A comparison of current ACI code safety requirements and reliability constraints with examples of optimal limit design techniques is presented. The flexural performance of the elements was evaluated as a function of the actual stress-strain d...

An efficient assessment of the vibration behaviour of cracked steelconcrete composite beams using GBT

In this paper, a previously developed GBT-based finite element (Henriques et al., 2020) is extended to allow calculating, very efficiently, natural frequencies and vibration mode shapes of steel-concrete composite beams, accounting for cross-section deformation (including shear lag effects) and concrete cracking. This new finite element enables a straightforward characterisation of the vibration modes, due to the unique modal decomposition features of GBT. The element aims at helping structur...

An Image Analysis Algorithm for Measuring Flank Wear in Coated End-Mills

The machining process remains relevant for manufacturing high-quality and high-precision parts, which can be found in industries such as aerospace and aeronautical, with many produced by turning, drilling, and milling processes. Monitoring and analyzing tool wear during these processes is crucial to assess the tool's life and optimize the tool's performance under study; as such, standards detail procedures to measure and assess tool wear for various tools. Measuring wear in machining tools ca...

Detection of Cardiovascular Disease Using Ensemble Feature Engineering With Decision Tree

Cardiovascular diseases are a cluster of heart-related issues, including many comorbidities, which are becoming a leading cause of human death across the globe. Hence, an essential framework is demanded for the early detection of CVDs which can help to prevent premature death. The application of artificial intelligence (AI) in healthcare has opted for this challenge and makes it easier to detect CVDs using a computational model. In this study, the authors built a reduced dataset using ensembl...