Innovative model for accurate prediction of the transfer length of prestressing strands based on artificial neural networks: Case study-Reference-Cited by-同舟云学术

Innovative model for accurate prediction of the transfer length of prestressing strands based on artificial neural networks: Case study

Published:2020-06 Issue: Volume:12 Page:e00312
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Alhassan Mohammad A.,Ababneh Ayman N.,Betoush Nour A.

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference39 articles.

1. Prestressed Concrete;Raju,2006

2. Transfer and Development Length of 15.2 Mm (0.6 in.) Diameter Prestressing Strand in High Performance Concrete: Results of the Hobitzell-buckner Beam Tests;Gross,1995

3. Theoretical analysis of transfer lengths in pretensioned prestressed concrete members;Oh;ASCE J. Eng. Mech.,2006

4. Bearing Zone Cracking of Precast Prestressed Concrete Bridge Girder;Kelly,2006

5. Design Guidelines for Transfer, Development and Debonding of Large Diameter Seven Wire Strands in Pre-tensioned Concrete Girders;Russell,1993

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Social Networks Competency in Education Among Working Civil Engineering Students;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21

2. An Experimental Study on Secondary Transfer Performances of Prestress after Anchoring Failure of Steel Wire Strands;Metals;2023-08-18

3. ANN-based critical review of the effective moment of inertia of RC beams;Emergent Materials;2023-03-06

4. Joint shear strength prediction of beam-column connections using machine learning via experimental results;Case Studies in Construction Materials;2022-12

5. The Emerging Engineering Applications of Artificial Neural Networks: A Visionary Study;2022 International Arab Conference on Information Technology (ACIT);2022-11-22