Criticality Index of Building Systems Using Multi-Criteria Decision Analysis Technique

Hammad, Dabo Baba; Shafiq, Nasir; Nuruddin, Muhd Fadhil

doi:10.1051/matecconf/20141501018

Cited by 15 publications

(6 citation statements)

References 8 publications

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“…𝑁𝑁 � �⃗ is the cycle vector attained by the structure during its operation; 𝜎𝜎 ⃗, 𝜀𝜀 ⃗ are the effective stress and strain vectors. Based on [1][2][3][4][5][6][7][8][9][10][11][12][13] and operational documentation we can assume that the above three vectors are the main ones, which determine the dynamics of the structural load-carrying capability, reliability P and risk of integral failure R for the entire structure.…”

Section: Research Materials and Methods Discussionmentioning

confidence: 99%

Nonlinear Dynamics of Heavy Structures

et al. 2021

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At the moment, not enough attention is paid to different aspects of nonlinear dynamics for heavy structures. In this article we attempt to create a mathematical model for finding a frame (field) with predictable dynamic pattern of load-carrying capability for a heavy structure based оn the parameters of its reliable (failure-free, low-risk) operation. It is difficult to find a solution for this problem now but the following algorithm can be applied. Small dimension projection is first obtained for orthonormal vectors determining the structural load-carrying capability. Then we use available methods to find a field where any relationship (functional, logical) can be obtained between the rules (wild cards) and the load-carrying capability displayed by a heavy structure. This article carries on the cycle of activities on structural risk analysis involving heavy structures. Numerical and calculated data are based on previous studies. The analysis is performed on a metallurgical overhead crane. The obtained findings are used for adopting various engineering solutions at different stages of heavy structure operation.

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Section: Research Materials and Methods Discussionmentioning

confidence: 99%

Nonlinear Dynamics of Heavy Structures

et al. 2021

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“…If the methodology of such surveys is sufficiently regulated, then the assessment of the quality of the actual structure of the crane from the standpoint of safety and reliability leaves much to be desired due to the fact that in practice such systems operate beyond their structural capabilities, and repairs are carried out only when necessary. In the general case, in the analysis of technical systems, the risk is considered as the probability of losses, and as a reciprocal of reliability [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]:…”

Section: First Pointmentioning

confidence: 99%

Structural Risk Analysis as Basis for Quality Control of Metallurgical Systems

Izvekov

Gugina

Shemetova

2018

Proceedings of the 4th International Conference on Industrial Engineering

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The brief review of the quality control system for complex technical systems is given. A generalizing condition for the analysis and control of safety as the basis for quality control of any complex technical system based on the risk theory has been adopted. The technical risk analysis cannot always adequately evaluate the safety of the structure, so the transition from technical risk to the structural risk of complex technical systems is shown. As an example of such systems, it is proposed to investigate cranes casting bridge type, operating in heavy and superheavy operation modes. Four blocks (subsystems) of the first level of structural risk and ten elements of the second level have been singled out. On the basis of the evolving structural risk theory, its meaningful formulation for complex metallurgical systems is given. A model of structural risk coordinated by goals and tasks has been constructed. The evaluation of structural risk as the probability of catastrophic destruction of a group of objects, metallurgical bridge cranes, will allow one to formulate and analytically determine the parameters of their quality control from the position of safety and reliability.

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“…The allowance for crack growth in various fracture models represents quite a critical issue related to structural risk analysis [1][2][3][4][5][6][7]. The triggering factors can include both technological defects and structural concentrators or material nonhomogeneities.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic modeling of crack growth in large structures

et al. 2020

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The allowance for various defects including cracks represents a critical issue related to structural risk analysis. The complexity and the ambiguity involved with such allowance for the amount and growth of defects (cracks) is demonstrated on the real structure of a metallurgical overhead crane. The problem of distribution function conversion must be solved to allow for any variations in defects starting from the point of time when the initial (technological) defectiveness is determined and ending with the estimated time of risk analysis. Due to the lack of data on cyclic resistance to cracking for Вст3сп5 steel, it does not yet seem possible to construct the distribution functions and to determine the estimated theoretical average and dispersion of crack sizes. However, by using the previously obtained calculated data on active stresses and strains, it is now possible to simulate growth of cracks based on Weibull distribution. Different engineering solutions can be accepted at various stages of operating large structures, according to the obtained results.

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Criticality Index of Building Systems Using Multi-Criteria Decision Analysis Technique

Cited by 15 publications

References 8 publications

Nonlinear Dynamics of Heavy Structures

Nonlinear Dynamics of Heavy Structures

Structural Risk Analysis as Basis for Quality Control of Metallurgical Systems

Probabilistic modeling of crack growth in large structures

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