Computational Technology Resources - CCP

C.A. Syrmakezis, E. Rouvas and G.K. Mikroudis

Institute of Structural Analysis and Aseismic Research, National Technical University of Athens, Athens, Greece

doi:10.4203/ccp.38.5.4

C.A. Syrmakezis, E. Rouvas, G.K. Mikroudis, "MASCON - Masonry Pathology Expert System", in B.H.V. Topping, (Editor), "Advances in Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 207-212, 1996. doi:10.4203/ccp.38.5.4

Abstract

In this paper the benefits gained by introducing Artificial Intelligence techniques into the investigation of causes of masonry damage and degradation are-examined. This is done through the development of an expert system, MASCON, and the evaluation of its results. In this kind of problem, it is common to encounter knowledge which can not be described through equations and is transferred in the form of empirical rules and advice. The expert system captures knowledge of masonry pathology and helps its exploitation by making it more widely available. In the "damaged" masonry examples studied with MASCON, the causes contributing to such degradation were successfully identified. A civil engineer without special experience in masonry failures, is now capable. to make a first assessment for the causes of damage or failure of a masonry wall.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £82 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 38 ADVANCES IN COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping Paper V.4 MASCON - Masonry Pathology Expert System C.A. Syrmakezis, E. Rouvas and G.K. Mikroudis Institute of Structural Analysis and Aseismic Research, National Technical University of Athens, Athens, Greece doi:10.4203/ccp.38.5.4 purchase the full-text of this paper Full Bibliographic Reference for this paper C.A. Syrmakezis, E. Rouvas, G.K. Mikroudis, "MASCON - Masonry Pathology Expert System", in B.H.V. Topping, (Editor), "Advances in Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 207-212, 1996. doi:10.4203/ccp.38.5.4 Abstract In this paper the benefits gained by introducing Artificial Intelligence techniques into the investigation of causes of masonry damage and degradation are-examined. This is done through the development of an expert system, MASCON, and the evaluation of its results. In this kind of problem, it is common to encounter knowledge which can not be described through equations and is transferred in the form of empirical rules and advice. The expert system captures knowledge of masonry pathology and helps its exploitation by making it more widely available. In the "damaged" masonry examples studied with MASCON, the causes contributing to such degradation were successfully identified. A civil engineer without special experience in masonry failures, is now capable. to make a first assessment for the causes of damage or failure of a masonry wall. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £82 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions