The utilization of a slug calorimeter to evaluate the thermal performance of fire resistive materials (FRMs) is presented. The basic specimen configuration consists of a ‘sandwich’, with a square central stainless-steel plate (slug) surrounded on two sides by the FRM. This sandwich configuration provides an adiabatic boundary condition at the central axis of the slug plate that greatly simplifi...

In order to predict the performance of a riser sleeve using simulation software, the thermophysical properties of that sleeve must be known. Current literature gives little to no information about these properties. Some manufacturers have given these properties as an optional module for simulation software without revealing their actual values. The accuracy of these “black box” properties is un...

MacDonald (2013) presents a strong case for speech production having a pivotal role in the cognition of language processing. Experimental research has been strongly biased toward the study of language comprehension, and it is an intellectual pleasure to be invited to rethink the consequences of the constraints imposed by speech production on both the form of utterances and how utterances are pr...

In this paper, full scale load test of a horizontally curved steel box-girder bridge is carried out in order to detect structural defects, which reportedly result in unwanted vibrations in nearby buildings. The bridge is tested under the passage of six heavy vehicles at different speeds, so as to determine its static and dynamic responses. A total number of one hundred and two (102) sensors are...

The source is covered by a watertight steel cylinder which is fixed inside a 0.65 m long section of ASEA-ATOM type BWR fuel channel. Inside the cylinder there is a 37 GBq Cs pellet fixed to a wagon which can be driven up and down by means of a stepping motor. By moving the source, the repeatability of the geometrical positioning is attained. The amplitude and scanning speed are controlled by a ...

This work compares a few attempts based on Wavelet and Neural networks, for extracting the Jominy hardness pro les of steels directly from the chemical composition. That is essentially a black-box modeling problem: Wavelet and Neural networks seem powerful, especially when compared with classical methods commonly found in literature. In particular, the paper proposes a multi-network architectur...