EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 274 (2021) E3S Web Conf., 274 (2021) 09001 References
Open Access
Issue
E3S Web Conf.
Volume 274, 2021
2nd International Scientific Conference on Socio-Technical Construction and Civil Engineering (STCCE – 2021)
Article Number 09001
Number of page(s) 10
Section Innovative and Smart Technologies in Architectural and Construction Education
DOI https://doi.org/10.1051/e3sconf/202127409001
Published online 18 June 2021
  1. S.K. Kim, W. K. Hong, J. K. Joo, Algorithmsfor Reducing the Waste Rate of Reinforcement Bars, Journal of Asian Architecture and Building Engineering, 3 (1), 1723 (2018) DOI: 10.3130/jaabe.3.17 [Google Scholar]
  2. C. Zheng, M. Lu, Optimized Reinforcement Detailing Design for Sustainable Construction, Slab Case Study Procedia Engineering, 145, 1478–1485 (2019) DOI: 10.3390/app9194127 [CrossRef] [Google Scholar]
  3. O. V. Bakhareva, Strategic Planning of Infrastructure Development: BIM and Intelligent Building, Journal of Advanced Research in Law and Economics, 10, 8 (46), 2262–2270 (2019) DOI: 10.14505/jarle.v10.8(46).06. [Google Scholar]
  4. O. Bakhareva, T. Azhimov, L. Azhimova, L. Marfina, A. Khuzagaripov, The Classification of Transaction Costs: The Innovation in the Construction Industry Based on Building Information Modeling, A Case Study of Multilingual Schools, IOP Conf. Ser.: Mater. Sci. Eng., 890, 012118 (2020) DOI: 10.1088/1757-899X/890/1/012118 [CrossRef] [Google Scholar]
  5. A. Porwal, K. N. Hewage, Building Information Modeling-Based Analysis to Minimize Waste Rate of Structural Reinforcement, J. Constr. Eng. Manag., 138, 943–954 (2017) DOI: 10.1061/(ASCE)CO.1943-7862.0000508 [CrossRef] [Google Scholar]
  6. R. S. Correia, G.F.F. Bono, G. Bono, Optimization of reinforced concrete beams using Solver, tool. Rev. IBRACON Estrut. Mater., 12, 4, 910–931 (2019) DOI: 10.1590/s1983-41952019000400011 [CrossRef] [Google Scholar]
  7. M. Mangal, J. C. P. Cheng, Automated optimization of steel reinforcement in RC building frames using building information modeling and hybrid genetic algorithm, Automation in Construction, 90, 39–57 (2018) DOI: 10.1016/j.autcon.2018.01.013 [CrossRef] [Google Scholar]
  8. R. Jin, B. Zhong, L. Ma, A. Hashemi, L. Ding, Integrating BIM with building performance analysis in project life-cycle, Autom. Constr., 90, 39–57 (2018) DOI: 10.1016/j.autcon.2018.01.013 [CrossRef] [Google Scholar]
  9. S. Hu, J. Wang, C. Hoare, Y. Li, P. Pauwels, J. O'Donnell, Building energy performance assessment using linked data and cross-domain semantic reasoning, Automation in Construction, 124, 103580 (2021) DOI: 10.1016/j.autcon.2021.103580 [CrossRef] [Google Scholar]
  10. F. P. Rahimian, V. Chavdarova, S. Oliver, F. Chamo, OpenBIM-Tango integrated virtual showroom for offsite manufactured production of self-build housing, Autom. Constr., 102, 1–16 (2019) DOI: 10.1016/j.autcon.2019.02.009 [CrossRef] [Google Scholar]
  11. R. Volk, J. Stengel, F. Schultmann, Building Information Modeling (BIM) for existing buildings - Literature review and future needs, Autom. Constr., 38, 109–127 (2014) DOI: 10.1016/j.autcon.2013.10.023 [CrossRef] [Google Scholar]
  12. N. Knyazeva, D. Levina, Using BIM scenarios in operation services, Bull. Belgorod State Technol. Univ. named after. V. G. Shukhov, 4, 99–105 (2019) DOI: 10.34031/article_5cd6df471c80b0.92422061 [CrossRef] [Google Scholar]
  13. S. Sen, The Impact of BIM/VDC on ROI Developing a Financial Model for Savings and ROI Calculation of Construction Projects, Department of Real Estate and Construction Management, 177, 58 (2018) DOI: oai:DiVA.org:kth-101167 [Google Scholar]
  14. S. Langar, Challenges with BIM Implementation: A Review of Literature college Students’ Perception of Household Energy Efficiency View project Residential Industry Perception for Resilience View project, Automation in Construction, 95, 107–117 (2018) DOI: 10.1016/j.autcon.2018.06.009 [CrossRef] [Google Scholar]
  15. S. Azhar, Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry, Leadersh. Manag. Eng., 11, 241–252 (2011) DOI: 10.1061/(ASCE)LM.1943-5630.0000127 [CrossRef] [Google Scholar]
  16. R. Santos, A. A. Costa, J. D. Silvestre, L. Pyl, Integration of LCA and LCC analysis within a BIM-based environment, Autom. Constr., 103, 127–149 (2019) DOI: 10.1016/j.autcon.2019.02.011 [CrossRef] [Google Scholar]
  17. J. Choi, I. Kim, A methodology of building code checking system for building permission based on open BIM ISARC 2017, Proceedings of the 34th International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (I.A.A.R.C), 945–950 (2017) DOI: 10.22260/ISARC2017/0131. [Google Scholar]
  18. J. Choi, I. Kim, A Methodology of Building Code Checking System for Building Permission based on open BIM, 2017, in Proceedings of the 34rd ISARC, 945–950 (2017) DOI: 10.22260/ISARC2017/0131 [Google Scholar]
  19. J. Choi, I. Kim, Development of openBIM-based Interoperability System for Code Checking System, Science & Engineering Research Support Society, 10, 8, 99–110 (2017) DOI: 10.14257/ijunesst.2017.10.8.10 [Google Scholar]
  20. L. H. Yang, L. Xu, W. C. Wang, S. H. Wang, Building Information Model and Optimization Algorithms for Supporting Campus Facility Maintenance Management: A Case Study of Maintaining Water Dispensers, KSCE J. Civ. Eng., 25, 12–27 (2021) DOI: 10.1002/adhm.202100335 [CrossRef] [Google Scholar]
  21. S. Abrishami, J. Goulding, Generative BIM workspace for AEC conceptual design automation: Prototype development, Engineering, Construction and Architectural Management, 28, 2, 482–509 (2021) DOI: 10.1108/ECAM-04-2020-0256 [CrossRef] [Google Scholar]
  22. E. A. Efimenko, M. Y. Bekkiev, D. R. Mayilyan, A. S. Chepurnenko, Determination of the optimal distribution of supports in the floor slabs of in-dustrial buildings using stochastic methods, Her. Dagestan State Tech. Univ. Tech. Sci., 47, 138–146 (2020) DOI: 10.21822/2073-6185-2020-47-1-138-146 [Google Scholar]
  23. A. Lapshinov, Prospects of potential application of non-metallic frp reinforcement in frp-reinforced concrete compressive members as main longitudinal non-prestressed reinforcement, Vestn. MGSU, 10, 96–105 (2015) DOI: 10.22227/19970935.2015.10.96-105 [CrossRef] [Google Scholar]
  24. M. Z. Afifi, H. M. Mohamed, B. Benmokrane, Axial Capacity of Circular Concrete Columns Reinforced with GFRP Bars and Spirals, J. Compos. Constr., 18, 04013017 (2014) DOI: 10.1007/s13369-020-04881-0 [CrossRef] [Google Scholar]
  25. S. A. A. Jabbar, S. B. H. Farid, Replacement of steel rebars by GFRP rebars in the concrete structures Karbala, Int. J. Mod. Sci., 4, 216–227 (2018) DOI: 10.1016/j.kijoms.2018.02.002 [Google Scholar]
  26. A. Avdeeva, I. Shlykova, M. Antonova, Y. Barabanschikov, S. Belyaeva. Reinforcement of concrete structures by fiberglass rods, MATEC Web of Conferences, 53, 01006 (2016) DOI: 10.1051/matecconf/20165301006 [CrossRef] [EDP Sciences] [Google Scholar]
  27. S. Stepanov, N. Morozov, N. Morozova, D. Ayupov, D. Makarov, D. Baishev. Efficiency of use of galvanic sludge in cement systems, Procedia Engineering, 165, 1112–1117 (2016) DOI: 10.1016/j.proeng.2016.11.827 [CrossRef] [Google Scholar]
  28. S. H. Alsayed, Y. A. Al-Salloum, T.H. Almusallam, Performance of glassfiber reinforced plastic bars as a reinforcing material for concrete structures, Compos. Part B, Eng., 31, 555–67 (2020) DOI: 10.1.1.487.5910 [CrossRef] [Google Scholar]
  29. Y. Barabanshchikov, S. Belyaeva, A. Avdeeva, M. Perez, Fiberglass Reinforcement for Concrete, Appl. Mech. Mater., 725-726, 475–480 (2015) DOI: 10.4028/www.scientific.net/AMM.725-726.475 [CrossRef] [Google Scholar]
  30. Y. Z. Wang, A. Kanvinde, G. Q. Li, Y. B. Wang, A new constitutive model for high strength structural steels, J. Constr. Steel Res., 182 (2021) DOI: 10.1016/jjcsr.2021.106646 [Google Scholar]
  31. S. Qian, X. Liu, Y. Ye, Q. Xu, T. Zhang, X. Li, Effect of gap and overlap fiber placement defects on the delamination behavior of L-shaped composite laminates, Composite Structures (IF 5.138), 113963 (2021) DOI: 10.1016/j.compstruct.2021.113963 [CrossRef] [Google Scholar]
  32. K. Delavari, H. Dabiryan, Mathematical and numerical simulation of geometry and mechanical behavior of sandwich composites reinforced with 1* 1-Rib-Gaiting weft- knitted spacer fabric, Compressional behavior Compos. Struct., 113952 (2021) DOI: 10.1016/j.compstruct.2021.113952 [CrossRef] [Google Scholar]
  33. B. Basaran, I. Kalkan, E. Bergil, E. Erdal, Estimation of the FRP-Concrete Bond Strength with Code Formulations and Machine Learning Algorithms, Compos. Struct., 113972 (2021) DOI: 10.1016/j.compstruct.2021.113972 [CrossRef] [Google Scholar]
  34. R. Nasybullin, F. Akhmadiev, O. Bakhareva, The optimization of the number of reinforcing bars in the slabs in Grasshopper and integration with TEKLA and LIRA-SAPR, IOP Conference Series: Materials Science and Engineering, 890, 012123 (2020) DOI: 10.1088/1757-899X/890/1/012123 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.