Neural network-based formula for shear capacity prediction of one-way slabs under concentrated loads

According to the current codes and guidelines, shear assessment of existing reinforced concrete slab bridges sometimes leads to the conclusion that the bridge under consideration has insufficient shear capacity. The calculated shear capacity, however, does not consider the transverse redistribution capacity of slabs, and thus leads to overly...

Interviewing and Hiring Practices in Brazilian Academia: Proposals Towards Improvement

Though Brazilian academia claims equality, the sector has largely been referred to as non-meritocratic, and academic hiring is still inward-oriented. The Lattes platform, a public curricular information system, reflects elements of this protectionism. This article assesses two ‘obsessions’ in Brazilian academia: the ‘mandatory’ Lattes CV, and...

ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups

Comparing experimental results of the shear capacity of steel fiber-reinforced concrete (SFRC) beams without stirrups to the capacity predicted using current design equations and other available formulations shows that predicting the shear capacity of SFRC beams without mild steel shear reinforcement is still difficult. The reason for this...

ANN-Based Fatigue Strength of Concrete under Compression

When concrete is subjected to cycles of compression, its strength is lower than the statically determined concrete compressive strength. This reduction is typically expressed as a function of the number of cycles. In this work, we study the reduced capacity as a function of a given number of cycles by means of artificial neural networks. We used...