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Article

Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach

1
Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin, 19 Piastow Ave., 70-310 Szczecin, Poland
2
Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059 Cracow, Poland
*
Author to whom correspondence should be addressed.
Lubricants 2022, 10(5), 75; https://doi.org/10.3390/lubricants10050075
Submission received: 11 March 2022 / Revised: 5 April 2022 / Accepted: 15 April 2022 / Published: 19 April 2022

Abstract

:
The reliability and safety of bolted joints is one of the crucial engineering problems during design of mechanical structures. In this paper, finite element method was used to investigate an asymmetrical, seven-bolted joint. The modelling takes into account the phenomenon of friction and the mechanics of contact between the joined elements. The bolts were preloaded using two different approaches: single and multi-pass. The damage of a bolt was simulated by its removal from the model. The conducted research showed influence of the number of preloading passes and its order on the forces acting in bolts both before and after damage. The obtained results were validated by experimental tests and presented as force diagrams for all investigated cases.

1. Introduction

Human losses are often caused by undesirable processes and events occurring in technical systems. This is the reason why engineers currently focus a great deal of attention on the reliability and safety of structures that were designed and function in the human environment. These activities, in relation to already maintained structures, consist of health monitoring of various joints. This applies especially to systems with such structural nodes as bolted [1,2], riveted [3,4], or welded joints [5,6]. These issues are commonly defined as structural health monitoring (SHM) [7].
One of the most interesting issues in terms of SHM of bolted joints and bolts is their analysis when the load capacity of chosen fasteners is lost. Thus far, the results of several experimental studies on this subject have been published. Yan et al. [8] presented an experimental validation of a damage detection method on a full-size truss supporting road signs. The authors considered the loss of all bolts in one of the flange joint in this truss as one of the simulated damages. Similar studies but related to lattice towers were reported by Pérez et al. [9]. Pham and Hancock [10] and Pham et al. [11] studied the deformations of joints between beams and channels for different bolt systems. Martowicz et al. [12] discussed the effectiveness of the structural health monitoring system based on the electromechanical impedance for damage detection in a laboratory section of a bolted pipeline. For the same purpose, Thien et al. [13] proposed the use of macro-fibre composite transducers. Blachowski et al. [14] used modal and ultrasonic approaches for structural damage detectability in the case of a flat steel frame composed of beams joined by bolted joints. They simulated damage to the frame by removing some bolts from a given structure. Li and Hao [15] monitored the condition of the bolted joints in a model of a truss bridge under the removal of chosen bolts. Similar studies but for different types of bridges were reported by Beskhyroun et al. [16,17], Kromanis and Kripakaran [18,19], Kunwar et al. [20], and Whelan and Gangone [21]. Detection of loose bolts in a complex structure with a vibro-acoustic sensor array was presented by Becht et al. [22]. Grzejda and Parus [23] assessed the health of a selected multi-bolted joint after removing one or two bolts.
Several other papers were dedicated to FE-modelling of phenomena occurring in bolted joints influenced by fastener damages. Rucka et al. [24] applied guided wave propagation in diagnostics of steel-bolted bridge components. Qin et al. [25] performed a quasi-static finite element analysis of a typical disc-drum connection used in rotors of large rotating machines in the condition of removing some bolts from the connection model. Blachowski and Gutkowski [26] examined the variability of the connection stiffness caused by the damage of several bolts and its impact on the displacements in the case of a selected telecommunication tower. Patil et al. [27] presented the results of a transient analysis of a frame with bolted connections after removing one of the bolts, while Hasni et al. [28] described structural health monitoring of a steel frame in which the damage was introduced by creating cracks on its structural members and loosening the bolts.
The conducted paper review revealed gaps in the assessment of multi-bolted joints on the basis of modelling approach. This paper contributes to fill these gaps. The paper concerns a multi-bolted joint, the experimental tests of which have been described in [29,30]. The novelty in relation to the previous articles cited above is that in the current paper, an asymmetrical connection was modelled. The calculations were made using the finite element system called Midas NFX 2020 R2. The finite element method (FEM) was chosen as the analytical tool because it is a very useful method of engineering calculations [31,32,33]. The results were verified by means of experimental tests carried out with the use of resistive strain gauges [34,35,36,37].
The structure of the paper is as follows: Section 2 focuses on the description of the geometry of the tested multi-bolted joint, while Section 3 describes the test procedure, paying attention to the details of the preloading methods and simulated damage scenarios of the tested multi-bolted joint. Section 4 presents the FEM-based model of the tested multi-bolted joint. Section 5 focuses on the research findings and their discussion. Section 6 provides some additional conclusions from the research.

2. Physical Model of the Joint

The subject of the analysis was the multi-bolted joint presented in Figure 1a.
The tested assembly was made of a pair of plates joined with i M10 × 1.25 fasteners shown in Figure 1b (for i = 1, 2, …, 7). The geometrical model of the fasteners consisted of a bolt and a nut merged as one solid [38].
The joined plates were welded to the top and bottom bases. The thickness of the joined plates and the bases was equal to 28 mm. The joint was tilted to the horizontal plane at an angle of 60° [39]. The total height of the assembly was approximately 266 mm. The plates and the bases were made of 1.0577 steel. After machining, the bolts and nuts were tempered to achieve the characteristics for the class of mechanical property 8.8 and 8, respectively.
Figure 2 presents the contact surface area between the joined plates and the assumed numbering of the bolts. This area fits in a circle with a radius of 90 mm, and its outline does not exceed 90 cm2.

3. Research Procedure

The research was divided into the following stages:
  • Preloading of the multi-bolted joint according to several preloading orders and two preloading methods (in one and three passes). Assembly instructions are presented in Table 1 and Table 2;
  • Entering the damage state according to the diagram shown in Table 3 (for each method of preloading the multi-bolted joint);
  • Determination of changes in the value of forces in the bolts remaining in the joint and their comparison with the results of experimental tests [23].
The level of the bolts preload Fp was set at 22 kN on the basis of PN-EN 1993-1-8 [40] and the analysis of the resistance to surface pressure of the contact between the nuts and the lower joined plate.

4. FEM-Based Model of the Joint

Using the tools available in the finite element system called Midas NFX 2020 R2, a multi-bolted joint model was built as shown in Figure 3. The joined elements were divided into 3D finite elements, while the fasteners were modelled as flexible beams with rigid heads and nuts [41,42]. In engineering modelling, the assumption of full rigidity of selected elements of a given model is often used [43]. All connection parts were assigned the properties of isotropic linear steel materials.
The rough contact between the joined plates [44,45] was modelled using the general surface-to-surface contact elements. They enable nonlinear analysis taking into account the possibility of separation of the joined plates in the normal direction and the occurrence of sliding in the tangential direction. The elements used in the contact model are typical and applied by many researchers without analysing the influence of the nonlinearity on the bolted connection model [46,47,48]. Nevertheless, it is also possible to analyse this influence [49].
The following values of the contact layer parameters were adopted:
  • Normal stiffness factor equal to 10;
  • Tangential stiffness factor equal to 1;
  • Coefficient of static friction for a pair of ground surfaces equal to 0.14 [50].
Welded-type contact elements were used between the plates and the bases, preventing the elements from moving relative to each other in any direction.
The multi-bolted joint model was created with a total of 78,750 elements and 133,162 nodes. The maximum dimension of the side length of a finite element in the mesh does not exceed 10 mm. The mesh was considerably densified at the point of contact between the joined plates and at the point of contact between the fasteners and the joined plates [51,52]. The model was constrained by restraining all degrees of freedom on the underside of the bottom base. The preload of the bolts was applied via the “pretension” function built into the Midas NFX 2020 R2 system.

5. Calculation Results and Discussion

The charts of forces in the bolts Fpi normalised in relation to the value of the initial force Fp0 achieved in single-pass preloading of the joint for the assumed damage states of the bolts are presented graphically in Figure 4. Analogous charts for multi-pass preloading of the joint are shown in Figure 5.
The analysis of the charts in Figure 4 and Figure 5 allowed following observations:
  • It was confirmed, as in the case of experimental tests [23], that in the damaged state of the joint, the largest increment of the force occurs in two bolts closest to the damaged one.
  • The variability of the force chart in the bolts after the joint damage is determined by the order in which the bolts were preloaded.
The quantitative analysis of the results shown in Figure 4 and Figure 5 was carried out using the Z1 indicator, defined as follows:
Z 1 = F p i a p F p i S F p i a p 100 ,
where F p i a p is the force in the bolt No. i in the analysed force chart at the end of the preloading process, and F p i S is the force in the bolt No. i at the analysed state of the joint damage.
The maximal Z1 indicator values received for respective methods of preloading and the states of the joint damage re shown in Table 4. To sum up its analysis, it is stated that the maximal force changes in the bolts caused by the introduced damage states were not influenced by the number of passes and the order of preloading. The differences variated between 3.17 and 4.28%.
Figure 6, Figure 7, Figure 8 and Figure 9 compare the results of the calculations using the FEM-based model of the joint with the experimental results presented in [23]. The charts of the bolt forces Fpi normalised in respect to the value of the initial force Fp0 after their preloading in the single pass and at the end of State No. 1 of the joint damage are depicted in Figure 6. Figure 7 contains analogous charts for the case of State No. 2 of the joint damage. Results obtained in the same way for three-pass preloading are shown in Figure 8 and Figure 9.
The analysis of Figure 6, Figure 7, Figure 8 and Figure 9 leads to following conclusions:
  • The preload charts for the respective bolts in the state of the joint damage reveal a certain variability.
  • By increasing the number of passes during the multi-bolted joint preloading, it was possible to reduce the variability of values of the bolt forces in the state of the joint damage.
The quantitative analysis of the results shown in Figure 6, Figure 7, Figure 8 and Figure 9 was conducted using the Z2 indicator, defined as follows:
Z 2 = F p i E X P F p i F E M F p i E X P 100 ,
where F p i E X P is the force in the bolt No. i in the given force chart according to experimental tests, and F p i F E M is the force in the bolt No. i in the given force chart according to the FEM-based model.
The maximal Z2 indicator values received for respective methods of preloading and the states of the joint damage are shown in Table 5. They do not exceed 6%. To sum up the analysis of the results, it can be noted that the presented FEM-based model of the multi-bolted joint allowed determination of the bolt force values at a compelling level. Moreover, it has been proven that the use of simplified bolt models is very useful in modelling multi-bolted joints.

6. Concluding Remarks

This paper presented the method of modelling of the asymmetrical multi-bolted joint in the bolt damage state. The described study investigated the influence of the preloading process (various preloading sequences and number of passes) on the forces acting in bolts after damage occurrence. The applicability of the proposed method was validated by comparison with experimental data, which proves its usefulness in engineering practice.
The presented model can be extended using the theory of asymmetric guide waves [53] in order to create a quantitative criterion for determining whether the multi-bolted joint has entered a state of damage.

Author Contributions

Conceptualization, R.G. and M.W.; methodology, R.G.; software, R.G.; validation, R.G., M.W. and K.U.; formal analysis, R.G.; investigation, R.G.; resources, R.G.; data curation, R.G.; writing—original draft preparation, R.G.; writing—review and editing, R.G., M.W. and K.U.; visualization, R.G.; supervision, R.G.; project administration, R.G.; funding acquisition, K.U. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Physical model of the connection (a) and physical model of the single fastener (b).
Figure 1. Physical model of the connection (a) and physical model of the single fastener (b).
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Figure 2. Outline of the surface at the contact of the joined plates and assumed numbering of the bolts.
Figure 2. Outline of the surface at the contact of the joined plates and assumed numbering of the bolts.
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Figure 3. FEM-based model of the multi-bolted joint (a) and FEM-based model of the single fastener (b).
Figure 3. FEM-based model of the multi-bolted joint (a) and FEM-based model of the single fastener (b).
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Figure 4. Bolt forces for single-pass tensioning of the joint.
Figure 4. Bolt forces for single-pass tensioning of the joint.
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Figure 5. Bolt forces for multi-pass tensioning of the joint.
Figure 5. Bolt forces for multi-pass tensioning of the joint.
Lubricants 10 00075 g005aLubricants 10 00075 g005b
Figure 6. Bolt forces in State No. 1 for single-pass joint preload.
Figure 6. Bolt forces in State No. 1 for single-pass joint preload.
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Figure 7. Bolt forces in State No. 2 for single-pass joint preload.
Figure 7. Bolt forces in State No. 2 for single-pass joint preload.
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Figure 8. Bolt forces in State No. 1 for multi-pass joint preload.
Figure 8. Bolt forces in State No. 1 for multi-pass joint preload.
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Figure 9. Bolt forces in State No. 2 for multi-pass joint preload.
Figure 9. Bolt forces in State No. 2 for multi-pass joint preload.
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Table 1. Methods of assembling the joint.
Table 1. Methods of assembling the joint.
DesignationMeaningLevel
Single-pass preloading
FpiPreloading of the i-th boltFpi = 22 kN
Multi-pass preloading
Fpi1Preload of the i-th bolt in pass No. 10.2 Fpi = 4.4 kN
Fpi2Preload of the i-th bolt in pass No. 20.6 Fpi = 13.2 kN
Fpi3Preload of the i-th bolt in pass No. 3Fpi = 22 kN
Table 2. Orders of bolt preloading.
Table 2. Orders of bolt preloading.
Queue No.Order of BoltsQueue No.Order of Bolts
11-2-3-4-5-6-741-5-2-6-3-7-4
21-3-5-7-2-4-651-6-4-2-7-5-3
31-4-7-3-6-2-561-7-6-5-4-3-2
Table 3. Joint damage states.
Table 3. Joint damage states.
12
Lubricants 10 00075 i001 Lubricants 10 00075 i002
Table 4. Percentage values of the Z1 indicator.
Table 4. Percentage values of the Z1 indicator.
Queue No.Single-Pass PreloadingMulti-Pass Preloading
State No. 1State No. 2State No. 1State No. 2
14.043.374.043.32
24.283.174.163.23
34.283.314.163.28
44.033.474.033.35
54.103.474.053.37
64.283.414.163.31
Table 5. Percentage values of the Z2 indicator.
Table 5. Percentage values of the Z2 indicator.
Queue No.Single-Pass PreloadingMulti-Pass Preloading
State No. 1State No. 2State No. 1State No. 2
14.053.712.842.54
24.854.234.133.82
35.013.913.993.69
45.843.882.922.63
55.325.603.073.11
64.153.863.973.67
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MDPI and ACS Style

Grzejda, R.; Warzecha, M.; Urbanowicz, K. Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach. Lubricants 2022, 10, 75. https://doi.org/10.3390/lubricants10050075

AMA Style

Grzejda R, Warzecha M, Urbanowicz K. Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach. Lubricants. 2022; 10(5):75. https://doi.org/10.3390/lubricants10050075

Chicago/Turabian Style

Grzejda, Rafał, Mariusz Warzecha, and Kamil Urbanowicz. 2022. "Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach" Lubricants 10, no. 5: 75. https://doi.org/10.3390/lubricants10050075

APA Style

Grzejda, R., Warzecha, M., & Urbanowicz, K. (2022). Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach. Lubricants, 10(5), 75. https://doi.org/10.3390/lubricants10050075

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