Empirical modelling of shear strength of RC deep beams by genetic programming-Reference-Cited by-同舟云学术

Empirical modelling of shear strength of RC deep beams by genetic programming

Published:2003-03 Issue:5 Volume:81 Page:331-338
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Ashour A.F.,Alvarez L.F.,Toropov V.V.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference31 articles.

1. ACI Committee 318. Building code requirements for structural concrete (ACI 318-99) and commentary (ACI 318R-99). Detroit: American Concrete Institute; 1999

2. Experimental evaluation of design procedures for shear strength of deep reinforced concrete beams;Aguilar;ACI Struct. J.,2002

3. Shear capacity of reinforced concrete deep beams;Ashour;Struct. Eng. J. ASCE,2000

4. British Standards Institution (BSI). Structural use of concrete. Milton Keynes: BSI; BS8110: Part 1, 1997

5. CEB-FIP. Model code 1990 for concrete structures. Thomas Telford Services, Ltd, London, Comité Euro-International du Béton, Laussane, 1993. p. 437

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