Abstract: Heuristic construction knowledge generated while contracting is seldom recorded and transferred to other workers. Experiences of past mistakes as well as efficient work practices are crucial means for saving money, time, ...

Abstract: This is the first of two papers providing a discourse on the understanding, usage, and potential for application of artificial neural networks within civil engineering. The present paper develops an understanding of how ...

Abstract: The first paper of this two‐paper series developed an understanding of how artificial neural networks work and explained the primary issues involved in their use. This second paper demonstrates the versatility of neural ...

Abstract: In building construction, contractors are typically selected through competitive bidding or negotiated contracting, in which the project price is the major selection criterion. A contractor’s safety performance is still ...

Abstract: In this paper, the microfauna distribution data of a contact stabilization process were used in a neural network system to model and predict the biological activity of the effluent. Five uncorrelated components of the ...

Abstract: The note reports on recent developments to the coarse-grain method (CGM) of modeling transient heat flow in buildings. CGM was originally developed as an alternative to conventional fine-grain modeling techniques [such as ...