Preliminary quantity estimate of highway bridges using neural networks

G. Morcous; M. M. Bakhoum; M. A. Taha; M. El-Said

Preliminary quantity estimate of highway bridges using neural networks

G. Morcous, M. M. Bakhoum, M. A. Taha, M. El-Said

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An artificial neural networks (ANN) model with back-propagation learning algorithm were employed to transfer the knowledge encapsulated in the design of 22 overhead prestressed concrete (PC) bridges. The model was developed to estimate the concrete volume and prestressing weight in the superstructure of bridge navigable spans. The results indicated the great potential of ANN to be decision support tools for preliminary quantity estimates.

Original language	English (US)
Title of host publication	Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering
Editors	B.H.V. Topping, B. Kumar
Pages	51-52
Number of pages	2
State	Published - 2001
Externally published	Yes
Event	Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering - Vienna, Austria Duration: Sep 19 2001 → Sep 21 2001

Publication series

Name	Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering

Conference

Conference	Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering
Country/Territory	Austria
City	Vienna
Period	9/19/01 → 9/21/01

Keywords

Bidding process
Conceptual design
Cost estimation
Highway bridges
Neural network
Quantity estimate

ASJC Scopus subject areas

Engineering(all)

Cite this

Morcous, G., Bakhoum, M. M., Taha, M. A., & El-Said, M. (2001). Preliminary quantity estimate of highway bridges using neural networks. In B. H. V. Topping, & B. Kumar (Eds.), Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering (pp. 51-52). (Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering).

Preliminary quantity estimate of highway bridges using neural networks. / Morcous, G.; Bakhoum, M. M.; Taha, M. A. et al.

Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering. ed. / B.H.V. Topping; B. Kumar. 2001. p. 51-52 (Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Morcous, G, Bakhoum, MM, Taha, MA & El-Said, M 2001, Preliminary quantity estimate of highway bridges using neural networks. in BHV Topping & B Kumar (eds), Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering. Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, pp. 51-52, Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, Vienna, Austria, 9/19/01.

Morcous G, Bakhoum MM, Taha MA, El-Said M. Preliminary quantity estimate of highway bridges using neural networks. In Topping BHV, Kumar B, editors, Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering. 2001. p. 51-52. (Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering).

Morcous, G. ; Bakhoum, M. M. ; Taha, M. A. et al. / Preliminary quantity estimate of highway bridges using neural networks. Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering. editor / B.H.V. Topping ; B. Kumar. 2001. pp. 51-52 (Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering).

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abstract = "An artificial neural networks (ANN) model with back-propagation learning algorithm were employed to transfer the knowledge encapsulated in the design of 22 overhead prestressed concrete (PC) bridges. The model was developed to estimate the concrete volume and prestressing weight in the superstructure of bridge navigable spans. The results indicated the great potential of ANN to be decision support tools for preliminary quantity estimates.",

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Preliminary quantity estimate of highway bridges using neural networks

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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