Parallell Slump

Parallell Sessions

Visualization of Concrete Slump Flow Using the Kinect Sensor

Workability is regarded as one of the important parameters of high-performance concrete and monitoring it is essential in concrete quality management at construction sites. The conventional workability test methods are basically based on length and time measured by a ruler and a stopwatch and, as such, inevitably involves human error. In this paper, we propose a 4D slump test method based on di...

Normal neurodynamic responses of the femoral slump test.

Femoral slump test is a neurodynamic testing, which could be used to assess the mechanosensitivity of the femoral component of the nervous system. Although Trainor and Pinnington reported the diagnosis accuracy of the femoral slump test, the neurodynamic responses of the femoral slump test have never been studied. The purposes of this study were to evaluate whether maneuvers that changed the ne...

Geometric Semantic Genetic Programming Algorithm and Slump Prediction

Research on the performance of recycled concrete as building material in the current world is an important subject. Given the complex composition of recycled concrete, conventional methods for forecasting slump scarcely obtain satisfactory results. Based on theory of nonlinear prediction method, we propose a recycled concrete slump prediction model based on geometric semantic genetic programmin...

Prediction of Slump in Concrete using Artificial Neural Networks

High Strength Concrete (HSC) is defined as concrete that meets special combination of performance and uniformity requirements that cannot be achieved routinely using conventional constituents and normal mixing, placing, and curing procedures. It is a highly complex material, which makes modeling its behavior a very difficult task. This paper aimed to show possible applicability of Neural Networ...