Assessment of Crane Load Effect on Safe Operation of Industrial Buildings

Вестник МГСУ 12/2017 Том 12
  • Zolina Tatyana Vladimirovna - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Doctor of Technical Sciences, Vice-rector for Professional Education Development, Head of Construction and Economics College, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishcheva st., Astrakhan, 414056, Russian Federation.

Страницы 1352-1360

Research objective: assessment of the impact of crane loading on safe operation of building by using probabilistic methods; taking into account accumulation of damage in building’s structural elements occurring during operation period. Materials and methods: current computational schemes exploit procedures that do not take into consideration all external effects and changes in structures occurring during operation period of an industrial building. They do not provide algorithms for assessment of spatial response of building’s structures if probabilistic methods are used. Results: the experimental and theoretical research carried out by the author resulted in more precise definitions for computational models and for computational methods of analysis of industrial buildings under the action of various crane loads, including those that are not considered by regulatory documents. The suggested models and methods will enable us to design bearing structures of frameworks in accordance with their real operating conditions. The data obtained in a number of full-scale experiments lead to the conclusion that the amplitudes of vibrations caused by lateral forces when the overhead crane travels with a skew are significantly larger than the amplitudes observed during deceleration of the crane trolley. Conclusions: a hybrid algorithm has been developed; the suggested algorithm implements a complex of procedures for assessment of changes occurring in frame structures under different loading scenarios, during the service life of an industrial building.

DOI: 10.22227/1997-0935.2017.12.1352-1360

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Вестник МГСУ 10/2012
  • Zolina Tat'yana Vladimirovna - Astrakhan Institute of Civil Engineering (AISI) Candidate of Technical Sciences, Associate Professor, First Vice-Rector, Astrakhan Institute of Civil Engineering (AISI), 18 Tatishchev St., Astrakhan, 414056, Russian Federation; Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript .
  • Sadchikov Pavel Nikolaevich - State Autonomous Educational Institution of the Astrakhan area of higher education "Astrakhan State Architectural and Construction University" (JSC GAOU VPO "AGASU") Candidate of Technical Sciences, Associate Professor, Department of Automated Design and Modeling Systems, State Autonomous Educational Institution of the Astrakhan area of higher education "Astrakhan State Architectural and Construction University" (JSC GAOU VPO "AGASU"), 18 Tatishcheva str., Astrakhan, 414000, Russian Federation; Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript .

Страницы 69 - 76

The number of accidents at construction facilities has increased dramatically over the recent years. The engineering analysis of the reasons of accidents in the Russian Federation has revealed that the majority of accidents are caused by the loss of stability of specific structural elements, and a substantial reduction of the bearing capacity of structures. At the same time, no proper methodologies of processing and analyzing the results of inspections of structures, or methodologies of assessing the residual service life of structures are available, although advanced diagnostic tools are at hand. Therefore, advanced methods of accident risk analysis assume importance.
A quantitative assessment of the risk exposure of buildings and structures at any stage (design, construction and operation) can only be made through the employment of probabilistic calculations, especially if extreme loads are in the focus. Probabilistic methods are more robust as they evaluate the safety as the possibility of failure. Parameters are treated as stochastic variables.
Based on the research completed by the authors, a 3D computational model of a single-storey industrial building has been developed. The software programme developed by the authors is designated for the resolution of a wide range of problems of reliability, durability, stability and accident risk analysis in respect of buildings exposed to various internal and external loads.
The software may be used to resolve both direct and inverse problems. This feature is highly relevant in assessing structural behaviour. Their structures may constitute defects that affect their rigidity, strength and stability. The behaviour pattern of a loaded structure may be identified by means of an experiment, and thereafter, its rigidity may be identified by resolving the inverse problem in order to assess the life span of the structure.

DOI: 10.22227/1997-0935.2012.10.69 - 76

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