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Loads on Shores and Slabs during Multistory Structure Construction: An Artificial Neural Network Approach

Mohammed E. Haque, Ph.D., P.E., André Mund, M.S.

Texas A&M University, TX/Arizona State University, AZ

Abstract

Neural computing is a relatively new field of artificial intelligence (AI), which tries to mimic the structure and operation of biological neural systems, such as the human brain, by creating an Artificial Neural Network (ANN) on a computer. Artificial Neural Networks have the ability to be trained by example. Patterns in a series of input and output values of example cases are recognized. This acquired “knowledge” can then be used by the Artificial Neural Network to predict unknown output values for a given set of input values. This paper demonstrates the feasibility of using an Artificial Neural Network (ANN) back-propagation multi-layered model to estimate loads on shores and slabs during the construction phases of a multistory structure. It also determines the number of stories above the slab with the maximum load. This model permits, in an early planning stage, to establish the minimum cycle time for the erection of stories given the number of shores and reshores to be used.

I. Introduction

In the construction of a multistory structure, construction loads may exceed the design loads by an appreciable amount. Thus, shoring must be provided to support these loads without excessive stresses or deflection. The calculation of the loads imposed on these shores as well as on the structure must be calculated to determine the cycle time for the erection of the structure and for the design of the shoring proper. No single procedure for shoring and reshoring multistory structures is recommended in the literature1. The main objective of the research presented in this paper was to develop a prototype Artificial Neural Network (ANN)-based software – IntelliShores – to determine maximum loads on shores and slabs of a multistory structure. Further, it was determined that it would be useful to include a feature permitting the determination of the number of stories above the slab with the maximum load. This feature would permit, in an early planning stage, to establish the minimum cycle time for the erection of stories given the number of shores and reshores to be used.

ANN is one of the artificial intelligence algorithms that relates to the class of machine learning. It mimics a human brain process of acquiring and retrieving knowledge. It models the biological neuron, which consists of nodes (cells) and links (axon). It is defined as "A computing system made up of a number of simple, highly interconnected processing elements, which processes information by its dynamic state response to external input2. These ANNs are modeling

Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education

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Mund, A., & Haque, M. (2002, June), Loads On Shores And Slabs During Multistory Structure Construction: An Artificial Neural Network Approach Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2--10942