An Artificial Neural Networks Model for the Estimation of Formwork Labour

Abstract Artificial Neural Networks (ANN) is a problem solving technique imitating the basic working principles of the human brain. The formwork labour cost constitutes an important part within the costs of the reinforced concrete frame buildings. This study suggests a method based on artificial neural networks developed for estimating the required manhours for the formwork activity of such buildings. The introduced method has been verified in the study with reference to the test conducted involving two case studies. In all cases, the model produced results reasonably close to actual field measurements. The model is a simple and quick tool for the estimators and planners to aid them in their work.

[1]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[2]  C. M. Tam,et al.  Modelling hook times of mobile cranes using artificial neural networks , 2004 .

[3]  L. P. J. Veelenturf,et al.  Analysis and applications of artificial neural networks , 1995 .

[4]  Tarek Hegazy,et al.  Neural networks as tools in construction , 1991 .

[5]  Krzysztof Schabowicz,et al.  Application of artificial neural networks in predicting earthmoving machinery effectiveness ratios , 2008 .

[6]  Krzysztof Schabowicz,et al.  MATHEMATICAL-NEURAL MODEL FOR ASSESSING PRODUCTIVITY OF EARTHMOVING MACHINERY , 2007 .

[7]  A. Halim Boussabaine,et al.  The use of artificial neural networks in construction management: a review , 1996 .

[8]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry, Expanded Edition , 1987 .

[9]  Asim Karim,et al.  Construction scheduling, cost optimization, and management : a new model based on neurocomputing and object technologies , 2001 .

[10]  Daniel W. Halpin,et al.  Pile construction productivity assessment , 2005 .

[11]  Chi Ming Tam,et al.  Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes , 2001 .

[12]  Miroslaw J. Skibniewski,et al.  Estimating construction productivity: neural-network-based approach , 1994 .

[13]  Krzysztof Schabowicz,et al.  Estimation of earthworks execution time cost by means of artificial neural networks , 2010 .

[14]  James E. Rowings,et al.  Construction Labor Productivity Modeling with Neural Networks , 1998 .

[15]  Xin Feng,et al.  Application of Neural Networks in Earthmoving Equipment Production Estimating , 1992 .

[16]  Simaan M. AbouRizk,et al.  NEURAL NETWORK MODEL FOR ESTIMATING CONSTRUCTION PRODUCTIVITY , 1997 .

[17]  Jamshid Ghaboussi,et al.  New method of generating spectrum compatible accelerograms using neural networks , 1998 .

[18]  Daniel W. Halpin,et al.  Process versus data oriented techniques in pile construction productivity assessment , 2004 .

[19]  Jamshid Ghaboussi,et al.  Autoprogressive training of neural network constitutive models , 1998 .

[20]  Sunil K. Sinha,et al.  Construction equipment productivity estimation using artificial neural network model , 2006 .

[21]  Simaan M. AbouRizk,et al.  Estimating Labor Production Rates for Industrial Construction Activities , 2001 .

[22]  Tarek Mohammed Zayed,et al.  Assessment of productivity for concrete bored pile construction , 2001 .

[23]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .