Numerical methods in assessing the reliability of spatial metal structures with a high level of responsibility

Numerical methods in assessing the reliability of spatial metal structures with a high level of responsibility

Автор: Mushchanov V.F., Orzhehovsky A.N.

Журнал: Строительство уникальных зданий и сооружений @unistroy

Статья в выпуске: 1 (106), 2023 года.

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The object of research is methods for determining reliability indicators, as well as methods for analyzing the propensity to develop progressive destruction in steel rod structures of increased responsibility that are many times statically indeterminate. The current state of the regulatory framework in the field of ensuring the reliability of building constructions is analyzed. The current regulatory framework in the field of preventing the development of progressive collapse of constructions is analyzed. Ambiguities in determining reliability indicators in difficult spatial constructions are noted. The question of a reasonable choice of a construction element, the destruction of which can cause the process of progressive collapse, is considered. The authors note the need to develop a clear methodology for determining the reliability characteristics of spatial many times statically indeterminate rod constructions of increased responsibility. Method. Based on the finite element method in a geometrically and structurally nonlinear formulation, an algorithm for determining the totality of key construction elements has been developed. The main purpose of the algorithm is the ability to analyze the propensity of the studied construction to progressive collapse based on the identification of stabilization states and subsequent calculation of its reliability indicators using a model of parallel connection of elements. Results. The article proposes a new method for the reasonable selection of a set of key most critical elements of spatial steel rod constructions. The use of this technique makes it possible to simplify and concretize the calculation of the construction for the tendency to progressive collapse. A method for determining the reliability indicators of spatial rod constructions of an increased degree of responsibility is proposed. The authors propose a methodology for determining the reliability indicators of spatial core constructions of an increased degree of responsibility. An algorithm for calculating reliability indicators of the constructions under consideration has been developed in the MATLAB programming language. The proposed methodologies have been tested on the example of a structural coating. The construction is square in plan and has a side length of 24 m. The cell of the core plate is made in the form of a pentahedron with a height of 3 m. A demonstration engineering calculation of the construction under consideration has been performed. According to the calculation results, the tendency to progressive destruction has been eliminated in the construction. The security characteristic increased from -1.54 to 2.67. This indicates an increase in the level of reliability of the core slab.

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Progressive collapse, reliability, metal structures, finite element method, structurally and geometrically nonlinear calculation, failure probability

Короткий адрес: https://sciup.org/143180494

IDR: 143180494   |   DOI: 10.4123/CUBS.106.5

Список литературы Numerical methods in assessing the reliability of spatial metal structures with a high level of responsibility

  • Ram, M., & Davim, J. P. (2019). Acknowledgments. Advances in System Reliability Engineering, xv. https://doi.org/10.1016/B978-0-12-815906-4.09998-X
  • A.V. Alekseytsev, L. Gaileb, P. Drukis. Optimization of steel beam structures for frame buildings subject to their safety requirements / Magazine of Civil Engineering. 2019. 91(7). Pp. 3–15 DOI: 10.18720/MCE.91.1
  • Adam, J. M., Parisi, F., Sagaseta, J., & Lu, X. (2018). Research and practice on progressive collapse and robustness of building structures in the 21st century. Engineering Structures, 173, 122–149. https://doi.org/10.1016/J.ENGSTRUCT.2018.06.082
  • Savin S.Y., Kolchunov V.I., Emelianov S.G. Modelling of resistance to destruction of multi-storey frame-connected buildings at sudden loss of bearing elements stability // IOP Conf. Ser. Mater. Sci. Eng. 2018. Vol. 456. 012089. https://doi.org/ 10.1088/1757-899X/456/1/012089
  • Wang, Y., Jia, S., Chai, W. Experimental Study and Numerical Analysis of T-Stub Connections with Single Direction High Strength Bolts / Journal of Tianjin University Science and Technology. 2018. Pp. 78–85. DOI: 10.11784/tdxbz201804057
  • Guo, Z., Li, Z., Xing, Z., Chen, Y., Zheng, Z., & Lin, G. (2022). Numerical analyses of post-fire beam-column assemblies with WUF-B connections against progressive collapse. Engineering Failure Analysis, 140, 106502. https://doi.org/10.1016/J.ENGFAILANAL.2022.106502
  • Truong, V. H., & Kim, S. E. (2018). Reliability-based design optimization of nonlinear inelastic trusses using improved differential evolution algorithm. Advances in Engineering Software, 121, 59–74. https://doi.org/10.1016/J.ADVENGSOFT.2018.03.006
  • Saad, L., Chateauneuf, A. & Raphael, W. Robust formulation for Reliability-based design optimization of structures. Struct Multidisc Optim 57, 2233–2248 (2018). https://doi.org/10.1007/s00158-017-1853-7
  • Rahgozar, N., Pouraminian, M., & Rahgozar, N. (2021). Reliability-based seismic assessment of controlled rocking steel cores. Journal of Building Engineering, 44, 102623. https://doi.org/10.1016/J.JOBE.2021.102623
  • Truong, V. H., & Kim, S. E. (2018). Reliability-based design optimization of nonlinear inelastic trusses using improved differential evolution algorithm. Advances in Engineering Software, 121, 59–74. https://doi.org/10.1016/J.ADVENGSOFT.2018.03.006
  • Yang, W., Zhang, B., Wang, W., & Li, C. Q. (2023). Time-dependent structural reliability under nonstationary and non-Gaussian processes. Structural Safety, 100, 102286. https://doi.org/10.1016/J.STRUSAFE.2022.102286
  • Krejsa, M., Janas, P., & Krejsa, V. (2016). Structural Reliability Analysis Using DOProC Method. Procedia Engineering, 142, 34–41. https://doi.org/10.1016/J.PROENG.2016.02.010
  • Russian State Standard GOST 27751-2014. «Reliability for constructions and foundations. General principles». Text. Implemented. 2014-11-14, published. official. – M.: Standinform, 2015. – 14 p. https://docs.cntd.ru/document/1200115736
  • Russian State Standard GOST R ISO 2394-2016 «Building constructions. General principles on reliability» Text. Implemented. 2016-11-28, published. official. – M.: Standinform, 2016. – 62 p. https://docs.cntd.ru/document/1200142443
  • Eurocode – Basis of structural design : EN 1990:2002+A1. – Brussels : Management Centre, 2002. – 116 с. – (European Standard). https://www.phd.eng.br/wp-content/uploads/2015/12/en.1990.2002.pdf
  • The standardization system of Russia. Set of Rules. SR 385.1325800.2018 «Protection of buildings and structures against progressive collapse. Design code. Basic statements» Text. Implemented. 2018-07-05, published. official. – M.: Standinform, 2018. – 24 p. https://docs.cntd.ru/document/551394640
  • Fialko S.Yu., Kabantsev O.V., Perelmuter A.V. ELASTO-PLASTIC PROGRESSIVE COLLAPSE ANALYSIS BASED ON THE INTEGRATION OF THE EQUATIONS OF MOTION // Magazine of Civil Engineering. 2021. №2 (102). URL: https://cyberleninka.ru/article/n/elasto-plastic-progressive-collapse-analysis-based-on-the-integration-of-the-equations-of-motion
  • Yang, W., Zhang, B., Wang, W., & Li, C. Q. (2023). Time-dependent structural reliability under nonstationary and non-Gaussian processes. Structural Safety, 100, 102286. https://doi.org/10.1016/J.STRUSAFE.2022.102286
  • Zheng, L., Wang, W. da, & Li, H. W. (2022). Progressive collapse resistance of composite frame with concrete-filled steel tubular column under a penultimate column removal scenario. Journal of Constructional Steel Research, 189, 107085. https://doi.org/10.1016/J.JCSR.2021.107085Zihan Liu, Nan Jiang, Chuanbo Zhou, Lin Ji, Xuedong Luo. Damage Effect of Terrorist Attack Explosion-induced Shock Wave in a Double-deck Island Platform Metro Station / Periodica Polytechnica Civil Engineering, 65(1), pp. 215–228, 2021 https://doi.org/10.3311/PPci.16929.
  • V.I. Kolchunov, N.V. Fedorova, S. Yu. Savin, V.V. Kovalev, T.A. Iliushchenko. Failure simulation of a RC multi-storey building frame with prestressed girders / Magazine of Civil Engineering. 2019. 92(8). Pp. 155–162. DOI: 10.18720/MCE.92.13
  • Perelmuter, A.V., Kabantsev, O.V. About the Problem of Analysis Resistance Bearing Systems in Failure of a Structural Element. International Journal for Computational Civil and Structural Engineering. 2018. Vol. 14. No 3. Pp. 103–113. DOI:10.22337/2587-9618-2018-14-3-103-113
  • Truesdell, C. (1984). Novozhilov’s Foundations of the Nonlinear Theory of Elasticity (1953). In: An Idiot’s Fugitive Essays on Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8185-3_15
  • Kornoukhov N.V. Strength and stability of rod systems. Elastic frames, trusses and combined systems / N. V. Kornoukhov. – M.: Moscow, 1949. – 376 p. https://search.rsl.ru/ru/record/01005816997
  • Streletsky N. S. Selected works [Text] / N.S. Streletsky; under general. ed. E. I. Belenya. / content by: E. I. Belenya, N. N. Streletsky, N. P. Melonikov, etc. – Moscow, Stroyiizdat, 1975. – 422 p.
  • Zhang Z., Jiang C. Evidence-theorybased structural reliability analysis with epistemic uncertainty: a review // Structural and Multidisciplinary Optimization. 2021. Pp. 1–19. DOI: 10.1007/s00158-021-02863-w
  • Kovalev M.S., Utkin L.V. A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov bounds // Neural Networks. 2020. Vol. 132. Pp. 1–18. DOI:10.1016/j.neunet.2020.08.007
  • Solovyova A.A., Solovyov S.A. Method for assessing the reliability of elements of flat trusses based on p-blocks // Vestnik MGSU. 2021. Vol. 16. No. 2. pp. 153-167. DOI: 10.22227/1997-0935.2021.2.153-167
  • Yang M., Zhang D., Han X. New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization // Computer Methods in Applied Mechanics and Engineering. 2020. Vol. 366. P. 113018. DOI: 10.1016/j.cma.2020.113018
  • Xin T., Zhao J., Cui C., Duan Y. A non probabilistic time-variant method for structural reliability analysis // Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2020. Vol. 234 (5). Pp. 664–675. DOI: 10.1177/1748006X20928196
  • Liu J., Meng X., Xu C., Zhang D., Jiang C. Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions // Computer Methods in Applied Mechanics and Engineering. 2018. Vol. 342. Pp. 287–320. DOI: 10.1016/j.cma.2018.07.035
  • Luo, H., Lin, L., Chen, K., Antwi-Afari, M. F., & Chen, L. (2022). Digital technology for quality management in construction: A review and future research directions. Developments in the Built Environment, 12, 100087. https://doi.org/10.1016/J.DIBE.2022.100087
  • Lapidus A.A., Makarov A.N. Fuzzy model of the organization of the construction process // News of universities. Investment. Construction. Realty. 2017. No. 1 (20). URL: https://cyberleninka.ru/article/n/nechetkaya-model-organizatsii-stroitelnogo-protsessa
  • Mushchanov V. P., Orzhekhovskii A. N. Experimental study of strength and geometrical characteristics of roll-welded rectangular tubes in a business environment of Ukrainian manufacturers / V. P. Mushchanov // Visnyik DonNABA – Is. 2013-3(101). Makiyivka. – 2013. – P. 9-12. http://donnasa.ru/publish_house/journals/vestnik/2013/maket_2013-3(101).pdf
  • Krasnoshchekov Yu.V., Zapoleva M.Yu. Calculated values of wind load with a given security. Scientific peer-reviewed journal "Bulletin of SibADI". 2015;(2(42)):64-67. https://doi.org/10.26518/2071-7296-2015-2(42)-81-89
  • Mushchanov V.P., Orzhekhovskii A.N., Zubenko A.V., Fomenko S.A. Refined methods for calculating and designing engineering structures. Magazine of Civil Engineering. 2018. No. 2. Pp. 101-115. Doi: 10.18720/MCE.78.8.
  • Belentsov Yu.A. The method of calculation of building structures by reliability level. Stroitel’nye Materialy [Construction Materials]. 2020. No. 11, pp. 54–59. (In Russian). DOI: https://doi.org/10.31659/0585-430X-2020-786-11-54-59
  • Gorodetsky Andrey Emelianovich, Tarasova Irina Leonidovna, Zinyakov Vladimir Yuryevich Combined logical-probabilistic and linguistic modeling of failures of complex systems // Information and control systems. 2015. №1 (74). URL: https://cyberleninka.ru/article/n/kombinirovannoe-logiko-veroyatnostnoe-i-lingvisticheskoe-modelirovanie-otkazov-slozhnyh-sistem
  • Orzhekhovskiy, A.; Priadko, I.; Tanasoglo, A.; Fomenko, S. Design of stadium roofs with a given level of reliability. Eng. Struct. 2020, 209, 110245. DOI: https://doi.org/10.1016/j.engstruct.2020.110245
  • Li, H.; Wang, C.; Han, J. Research on Effect of Random Initial Imperfections on Bearing Capacity of Single-Layer Spherical Reticulated Shell. Ind. Constr. 2018, 48, 23–27. DOI: 10.13204/j.gyjz20180402
  • Zhi, X.; Li, W.; Fan, F.; Shen, S. Influence of initial geometric imperfection on static stability of single-layer reticulated shell structure. Spat. Struct. 2021, 27, 7. DOI: 10.13849/j.issn.1006-6578.2021.01.009
  • Liu, H.; Zhang, W.; Yuan, H. Structural stability analysis of single-layer reticulated shells with stochastic imperfections. Eng. Struct. 2016, 124, 473–479. DOI: 10.1016/j.engstruct.2016.06.046
  • Zhang, H., Zhu, X., Liang, X., & Guo, F. (2021). Stochastic uncertainty quantification of seismic performance of complex large-scale structures using response spectrum method. Engineering Structures, 235, 112096. https://doi.org/10.1016/j.engstruct.2021.112096
  • Luo, C., Keshtegar, B., Zhu, S.-P., & Niu, X. (2022). EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis. Computer Methods in Applied Mechanics and Engineering, 400, 115499. https://doi.org/10.1016/j.cma.2022.115499
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