“…Representative examples belonging to the first group are the work by An et al [14], where curvature between two neighboring measurement points has been used to identify damage in a simple beam structure, by Pnevmatikos et al [15], where a wavelet based technique has been used to localize damage in a planar frame structure, or by Blachowski et al [16], in which changes in axial strain accelerations have been applied to damage localization in a spatial truss structure. Methods from the second group have been investigated by An et al [17], who utilized QR decomposition to detect changes in the flexibility matrix based on measured modes, or by Blachowski et al [18] for detection of damage in a bolted lap connection. Damage in flanged connections of tall steel towers was the topic of the paper by Blachowski and Gutkowski [19].…”
The present study deals with a comprehensive approach for damage identification of spatial truss structures. The novelty of the proposed approach consists of a three-level analysis. First, sensitivity of assumed modal characteristics is calculated. Second, natural frequency sensitivity is used to determine hardly identifiable structural parameters and mode shape sensitivity is applied to select damage-sensitive locations of sensors. Third, two sparsity constrained optimization algorithms are tested towards efficient identification of applied damage scenarios. These two algorithms are based on ℓ1-norm minimization and non-negative least square (NNLS) solution.Performances of both proposed algorithms have been compared in two realistic case studies: the first one concerned a three-dimensional truss girder with 61 structural parameters and the second one was devoted to an upper-deck arch bridge composed of 416 steel members.
“…Representative examples belonging to the first group are the work by An et al [14], where curvature between two neighboring measurement points has been used to identify damage in a simple beam structure, by Pnevmatikos et al [15], where a wavelet based technique has been used to localize damage in a planar frame structure, or by Blachowski et al [16], in which changes in axial strain accelerations have been applied to damage localization in a spatial truss structure. Methods from the second group have been investigated by An et al [17], who utilized QR decomposition to detect changes in the flexibility matrix based on measured modes, or by Blachowski et al [18] for detection of damage in a bolted lap connection. Damage in flanged connections of tall steel towers was the topic of the paper by Blachowski and Gutkowski [19].…”
The present study deals with a comprehensive approach for damage identification of spatial truss structures. The novelty of the proposed approach consists of a three-level analysis. First, sensitivity of assumed modal characteristics is calculated. Second, natural frequency sensitivity is used to determine hardly identifiable structural parameters and mode shape sensitivity is applied to select damage-sensitive locations of sensors. Third, two sparsity constrained optimization algorithms are tested towards efficient identification of applied damage scenarios. These two algorithms are based on ℓ1-norm minimization and non-negative least square (NNLS) solution.Performances of both proposed algorithms have been compared in two realistic case studies: the first one concerned a three-dimensional truss girder with 61 structural parameters and the second one was devoted to an upper-deck arch bridge composed of 416 steel members.
“…The most commonly used techniques are vibration measurement, acoustic emission (AE) analysis, electrostatic (ES) measurement [6,7], bearing temperature analysis [8], ultrasonic measurement [9], Shock Pulse Method (SPM) [10], wear debris analysis [11], and modal analysis [12]. Despite the fact that there are many techniques to monitor the conditions of rolling-element bearings, the vibration analysis is one of the basic methods to control technical conditions of new bearings.…”
Section: Rolling Bearings Diagnostic Methodsmentioning
Abstract. This paper provides a quantitative analysis of how raceway waviness (RONt) in 6304-type bearings affects their vibration. The waviness of bearing races was measured at the actual points of contact between the balls and the races. The measurements were conducted in the range of 16-50 undulations per revolution (UPR). The bearing vibration was analyzed in three bandwidths of frequency: low (LB) (50 ÷ 300 Hz), medium MB (300 ÷ 1800 Hz) and high HB (1800 ÷ 10 000 Hz), as well as in the full RMS bandwidth. The paper also presents the procedure used to determine the actual points of contact between the ball and each race to specify the point of waviness measurement. The method of calculation of the contact angle for a ball bearing is also discussed. The Pearson linear correlation coefficients were determined to analyze the relationships between the waviness parameters and the level of vibration. The test results show that an increase in the surface waviness on the inner and outer raceways causes an increase in the vibration level. The influence is most visible for the medium frequency bandwidth.
“…The basic idea of the article is based on the fact that damage has a local character and is hardly to be observed in global dynamic characteristics such as natural frequencies or mode shapes (Blachowski et al., ). Moreover, the identification procedure of the mentioned modal properties is usually corrupted by measurement noise, which makes the process of damage detection even more complicated.…”
Section: The Proposed Asadod Damage Localization Methods For Truss Strmentioning
This work proposes an efficient and reliable method for damage localization in truss structures. The damage is localized on the basis of measured acceleration signals of the structure followed by simple statistical signal processing. It has three main advantages over many existing methods. First, it can be directly applied to real engineering structures without the need of identifying modal parameters or solving any global optimization problem. Second, the proposed method has higher sensitivity to damage than some other frequently used methods and allows to localize damage as small as a few percentages. Third, it is a model-free method, which does not require precise finite element model development or updating. Validation of the method has been conducted on numerical examples and laboratory-scale trusses. Two types of frequently used trusses have been selected for
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