 Original Article
 Open Access
 Published:
Research on the Structural Rigidity Characteristics of a Reconfigurable TBM Thrust Mechanism
Chinese Journal of Mechanical Engineering volume 32, Article number: 107 (2019)
Abstract
To improve the adaptability of TBMs in diverse geological environments, this paper proposes a reconfigurable TypeV thrust mechanism (VTM) with rearrangeable working states, in which structural stiffness can be automatically altered during operation. Therefore, millions of configurations can be obtained, and thousands of instances of working status per configuration can be set respectively. Nonetheless, the complexity of configurations and diversity of working states contributes to further complications for the structural stiffness algorithm. This results in challenges such as difficulty calculating the payload compliance index and the environment adaptability index. To solve this problem, we use the configuration matrix to describe the relationship between propelling jacks under reconfiguration and adopt pattern vectors to describe the working state of each hydraulic cylinder. Then, both the dynamic compatible equation between propeller forces of the hydraulic cylinders and driving forces, and the kinematic harmonizing equation between the hydraulic cylinder displacements and their deformations are established. Next, we derive the stiffness analytical equation using Hooke’s law and the Jacobian Matrix. The proposed approach provides an effective algorithm to support structural rigidity analysis, and lays a solid theoretical foundation for calculating the performance indexes of the VTM. We then analyze the rigidity characteristics of typical configurations under different working states, and obtain the main factors affecting structural stiffness of the VTM. The results show the deviation degree of structural parameters in hydraulic cylinders within the same group, and the working status of propelling jacks. Finally, our constructive conclusions contribute valuable information for matching and optimization by drawing on the factors that affect the structural rigidity of the VTM.
1 Introduction
A Tunnel Boring Machine (TBM) consists of highly complex mechatronic equipment used to cut a fullface tunnel with hard rock. It bears heavy payload [1], interrupt dynamical payload [2] and intense impact payload [3] from diverse geological environments. This results in a slowdown in cutting velocity, and an expected reduction in the lifetime of key components and parts, or a deviation in the trajectory of the cutter head, especially for tunnels with hard rock [4]. To speed up TBM cutting velocity for hard rock, a stronger cutter system should be developed [5], with the layout optimized [6,7,8]. Furthermore, the great cutting forces and cutting torques should go through the thruster mechanism (TM). However, this can also negatively affect the key components and parts. To solve this conflict, payload compliance design theory for thrusters of shield machines is established and the design method presented by the authors [9]. Payload compliance of shield machines [10] and the compliance of the hydraulic system of shield machines [11] have been widely studied, though hydraulic stiffness was studied by Snowdown, et al. as early as 1983 [12].
The main functions of a TBM thruster include thrusting, gripping, and regripping. Its configuration is much more complex than that of a shield machine [4]. Thus, the question of how to design and/or develop a new kind of TBM thrust system, with high adaptability [13] in diverse geological environments, and the capability to effectively operate during different steps of the working process, has become a major problem to be solved. This paper will focus on the structural rigidity characteristics of a new type of TBM thruster to help calculate the payload compliance index of the TM.
In fact, to improve the compliance of the TM of a shield machine in diverse geological environments, several research works have been proposed. Currently, the active compliance performance of a given TBM could be improved by updating its control methods [14, 15], while its passive compliance performance could be improved through several different approaches. Such as, to optimize the cuts layout on the cutter head [6, 7], to rearrange the group dividing of hydraulic cylinders [16,17,18], and to optimize the layout of hydraulic cylinders [19,20,21].
As shown in Figure 1, to achieve this, a new VTM equipped with 12 jacks (or hydraulic cylinders) is proposed [4, 16, 22]. Based on the reconfiguration method, this VTM consists of millions of configurations, each configuration operates in thousands of working states, and its structural stiffness can be altered automatically during operation.
This VTM can be used for TBMs, as it is highly adaptable in diverse geological environments [16, 22]. The proposed VTM can be reconfigured into an exactconstrained, an overconstrained or an underconstrained configuration according to different configuration modes [16]. For each given configuration, the driving mode of each hydraulic cylinder can be reset, depending on the design demand. Thus, millions of thruster configurations can be obtained, and thousands of VTM working states for each configuration can be set respectively. Based on the proposed method, the structural stiffness of the VTM can be altered. Nonetheless, the complexity of its configurations and the diversity of its working states lead to difficulty for the structural stiffness algorithm, resulting in further challenges for calculating the payload compliance index and the environment adaptability index. To solve this problem efficiently, an effective and convenient stiffness analytical equation needs to be developed.
The TMs are typical parallel equipment, and the calculation and optimization of their performance indexes are related to the velocity Jacobian matrix and the structural stiffness matrix [4, 9, 12, 23]. Therefore, the rigidity characteristics become one of the primary characteristics of a parallel kinematic machine (PKM), and so is for the TM. The main purposes of use are as follows: (1) for general purpose [12, 23], (2) analyzing performance [9, 24,25,26,27], (3) passive compliance or force control [28, 29], (4) rigid body matching [30, 31], and (5) the analysis of TM deformation.
It is important to consider that in establishing the stiffness analytical model of the proposed VTM, existing approaches are somewhat different from that of the general reconfigurable PKM [32,33,34,35,36]. For redundant ΠTM (typeΠ thruster mechanisms, two adjacent hydraulic cylinders are parallel), one of the modeling methods based on the virtual displacement theorem is proposed by Ref. [4], another modeling method is also offered by Ref. [36]. The former avoids the problem for calculating the TM’s reflecting force, while the latter simplifies the TM’s structural complexity. For the VTM, the modeling method based on PKM is also proposed [4]. In this paper, a reconfigurable thruster with a rigid modeling method is discussed and developed.
The remainder of this paper is organized as follows: To solve the problem, the physical model is first established in Section 2.1. The configuration matrix is then used to describe the relationship between propelling jacks being reconfigured. Section 2.2 details the pattern vectors adopted to describe the driving modes of each hydraulic cylinder. Section 3 concentrates on the VTM rigidity modeling method with the dynamic compatible equation, the kinematic harmonizing equation and the stiffness analytical equation derived in Sections 3.3, 3.4 and 3.5 respectively.
The proposed solution will provide an effective algorithm to support structural stiffness analysis of the VTM, and lay a solid theoretical foundation for calculating the performance indexes of the VTM. Based on the proposed stiffness analytical equations derived, the stiffness characteristics of typical configurations and different working status are then analyzed in Section 4, with a discussion of the main factors affecting structural stiffness of the VTM. Finally, we present a summary of our conclusions in Section 5.
2 Physical Modeling of the VTM
This section focuses on the physical modeling method of the VTM with a description of kinematic parameters and reconfiguration.
2.1 Kinematic Parameters of the VTM
Figure 1 represents the 3D solid model of the VTM system discussed here. This consists of gripper mechanics, 12 hydraulic cylinders, and a supporting ring. Each hydraulic cylinder is a branch with an SPS kinematic chain, where S and P represent a spherical joint and a prism joint respectively. To establish its physical model, two coordinate systems are appointed to the FP (fixed platform, when the cut plate of a TBM is tuning, the grippers of the TBM are fixed on the support surface) and the MP (moving platform, the support ring is advanced by the thruster). The kinematic sketch of the model is shown in Figure 2. The local coordinate system \(O  xyz\) attaches to the FP, and the global coordinate system \(P  x^{\prime}y^{\prime}z^{\prime}\) attaches to the MP respectively. The letter q represents the joint variable in Eq. (1):
where \(l_{i} \left( {i = 1,2, \ldots ,n} \right)\) denotes the length of the ith leg (or the ith jack), i.e., the distance between the center of the two spherical hinges on the ith propelling jack.
As shown in Figure 3, the coordinate of the spherical joint A_{i} (i = 1, 2,…, n) on the FP of the VTM is described in the global coordinate system \(O  xyz\) (as shown in Figure 3a). The coordinate of the spherical joint B_{i}(i =1, 2,…, n) on the MP of the VTM is described in the local coordinate system \(P  x^{\prime}y^{\prime}z^{\prime}\) (as shown in Figure 3b). Thus, we obtain:
where the direction angles α_{i} and β_{i} of the spherical joints’ position can be described by two parameters respectively. They represent the intersection angle Δγ between twin legs, and the intersection angle Δφ between two adjacent groups. Let us consider Figure 3 as an example, Δφ_{a} = 30°, Δγ_{a} = 10° in Figure 3a, and Δφ_{b} = 30°, Δγ_{b} = 10° in Figure 3b. Thus, we obtain:
where i (i = 1, 2, …, n) represents the serial number of the propelling jack. Let
where γ denotes the wedge angle, and represents the differential value between the direction angle of the corresponding spherical joint A_{i} on the FP and the joint B_{i} on the MP, which is the main characteristics parameter of the VTM.
To describe the location of the MP, we name X as the generalized displacement (sometimes called position or location for short):
where P and θ denote the position of the center point on the FP, and the relative rotation angle of the MP to the FP respectively.
2.2 Reconfiguration Method of the VTM
The model being studied here is not limited to the fixed symmetric structure as shown above; the drives are divided into several groups m (m =3, 4, …). As shown in Figure 4, depending on different application requirements, each hydraulic cylinder can become subordinate to different groups through a reconfigurable hydraulic driving system.
Figure 4 demonstrates that two given hydraulic jacks can be manually cut off by a cutoff value, or automatically cut off by an electromagnetic cartridge value based on different reconfiguration requirements. To describe the reconfiguration relationship between the hydraulic cylinders and the driving groups, the configuration matrix N is created, and its element n_{ij} is defined as follows:
where m represents the group number of hydraulic cylinders (same as the number of drivers). Here, several examples of specified configurations are presented in Eq. (7):
where e_{i} denotes an ndimension unit vector, N_{1} denotes an underconstrained (or underdriven) configuration, which puts all hydraulic cylinders into one group, has 6 degrees of freedom, but only one driver. N_{2} denotes an overconstrained (overdriven) configuration, which puts each hydraulic cylinder into an individual group, has 6 degrees of freedom, but 12 drivers. N_{3} denotes an exactconstrained configuration, which puts two adjacent and a near hydraulic cylinders into one group and has 6 degrees of freedom. N_{4} denotes a singularity configuration, which puts two adjacent and afar hydraulic cylinders into one group, has 5 valid degrees of freedom and 1 invalid local degree of freedom, sharing characteristics of both the overconstrained mechanism and the underconstrained mechanism. N_{5} and N_{6} denote two overconstrained configurations with 6 degrees of freedom and 7 drives, except hydraulic cylinder No. 1, which is not assigned to any group (not in working status) in N_{6}.
Besides, two chambers of each hydraulic jack can connect with a twoposition threewar value based on different driving modes. Thus, each hydraulic jack could work under both conventional drive mode (or routine drive mode), and differential drive mode. The working pattern vector M describes the driving modes of each hydraulic cylinder. The element m_{i} of vector M is defined as follows:
According to the definitions mentioned above, the mechanism described here consists of 7^{n} different configurations in total theoretically, with each configuration possessing 2^{n−k} (k represents the number of hydraulic cylinders not in working states) types of working states. Taking the VTM described in Figure 3 for instance, there are 7^{12} (around 1.38 × 10^{10}) different configurations in total, assuming all hydraulic cylinders are in working status, there would be 2^{12}(4096) different working states in total. Taking the VTM described in Figure 4 as an example, there are only 3 cutoff valves, thus there are 2^{3} different configurations in total, assuming all hydraulic cylinders are in working status, there would be 2^{6} different working states in total.
3 Rigidity Modeling of the VTM
This section focuses on the VTM rigidity modeling method. Based on the physical model of the VTM established in Section 2, both the dynamic compatible equation between the propeller forces of the hydraulic cylinders and driving forces, and the kinematic harmonizing equation between the hydraulic cylinder displacements and their deformations will be established. The stiffness analytical equation will then be derived using Hooke’s law and the Jacobian Matrix.
These equations will provide an effective algorithm to support structural stiffness analysis, and lay a solid theoretical foundation for calculating the performance indexes of the VTM.
3.1 Rigidity Modeling of the Propelling Jack
This section will explain the modeling method for each jack in the VTM, which consists of a type SPS hydraulic cylinder. Its kinematic sketch is described in Figure 5. According to Ref. [4] its stiffness calculation formula is Eq. (9):
where k_{qi}, l_{i} and s_{i} (i =1, 2, …, n) represent the stiffness, length and displacement of the ith (i = 1, 2, …, n) hydraulic cylinder. d_{c} represents the internal diameter of the cylinder block, l_{p} and d_{p} represent the length and the external diameter of the piston rod. l_{C} and d_{C} represent the length and external diameter of the cylinder joint, E_{H} and E_{S} represent the elastic modulus of the hydraulic oil and the steel, and l_{e} represents the equivalent hydraulic cylinder length of the hydraulic circuit, respectively. When hydraulic cylinders are working in differential drive mode, the equation should also consider the factor that the hydraulic oil extrudes from the chamber with the piston rod to the chamber without the piston rod. According to the deformation compatible conditions of the hydraulic oil, we can obtain:
where H represents the stroke of the hydraulic cylinder. Combining Eq. (10) with the hydraulic cylinder driving mode definition Eq. (8), we obtain:
where \(A_{i}^{\text{e}} = {\uppi }(d_{\text{C}}^{2}  m_{i} d_{\text{P}}^{2} )\) represents the effective area of the hydraulic cylinder, Eq. (11) is the stiffness equation for the type SPS hydraulic cylinder.
3.2 Kinematics and Dynamics of the VTM
As a type of PKM, the inverse kinematic solution of the VTM, is easily obtained according to the geometric equations.
where P and R represent the center position and the orientation matrix of the MP, u_{i} is the direction vector of the ith hydraulic cylinder. According to the differential kinematic principle, we get:
where H represents the velocity inverse Jacobian matrix, each column of H represents the unit linear vector of the ith leg (in \(Pl\ddot{u}cker\) coordinate); this describes the relationship between the joint velocity \(\dot{\varvec{l}}_{i}\) and the MP’s generalized velocity \(\dot{\varvec{X}}\). According to the duality relationship between motion and force, we get the basic dynamics equation as follows:
where F represents the generalized force, and \({\varvec{\uptau}} = \left\{ {\tau_{1} \;\tau_{2} \; \ldots \tau_{n} } \right\}^{\text{T}}\) represents the joint force.
3.3 Dynamic Compatible Equation
As mentioned above, the VTM studied here could be an overconstrained or an underconstrained configuration, and its driving force must satisfy the following constraint conditions:
where P_{i} denotes the pressure of the ith jack. We name \(\varvec{P}^{*} = \left\{ {P_{1}^{*} \;P_{2}^{*} \; \ldots \;P_{m}^{*} } \right\}^{\text{T}}\) as the driving pressure in each group, according to the principle that the pressure inside the hydraulic cylinders is equal within the same group, we can obtain:
where N represents the configuration matrix defined in Eq. (6). This equation has described the relationship between the driving forces in each group and the joint force τ_{i}. Therefore, we obtain:
where \(\tau_{i}^{*} ,A_{i}^{*}\) represent the ith joint force and effective area of the equivalent hydraulic cylinder.
3.4 Kinematic Harmonizing Equation
By subset Eq. (17) to Eq. (16), we get:
where \(\delta \varvec{l} \;\text{and}\; \delta \varvec{l}^{*}\) represent the micro or virtual displacement of each hydraulic cylinder and each group. Furthermore, considering the hydraulic oil could flow freely among different hydraulic cylinders within the same group. This will result in:
where \(\delta \varvec{l}_{{}}^{0} = \left\{ {\delta l_{1}^{0} ,\delta l_{2}^{0} , \ldots ,\delta l_{n}^{0} } \right\}^{\text{T}}\), and \(\delta l_{i}^{0}\) represents the micro displacement equivalent to the flux in and out of the ith hydraulic cylinder. Eq. (18) and Eq. (19) are the kinematic harmonizing equations of the VTM.
3.5 Stiffness Equation of the VTM
According to Hooke’s law for single DOF, we can obtain the basic stiffness equations of the hydraulic cylinders as follows:
where the differential value between \(\delta l_{i} \;\text{and}\; \delta l_{i}^{0}\) is the real deformation of hydraulic oil in the ith hydraulic cylinder. According to Hooke’s law for a mechanism, we can obtain the stiffness equation of the moving platform as follows:
where K and δX represent the stiffness matrix and the micro deformation of the MP. Assume each hydraulic cylinder is driven independently, i.e., \(\delta \varvec{l}_{{}}^{0} = \{ {\mathbf{0}}\}\), according to Eqs. (13)‒(21), we can obtain:
The equation above is valid for δX being any generalized virtual displacement vector, thus:
The equation above is the stiffness equation of the VTM when each hydraulic cylinder is driven individually. The equation indicates that when each hydraulic cylinder is driven individually, the mechanism stiffness matrix K is the similitude transformation of hydraulic cylinder stiffness matrix K_{q}, and the similitude transformation matrix is the inverse Jacobian matrix H. If we assume the hydraulic cylinders are driven by groups, according to Eqs. (13)‒(21), we can obtain:
The equation above is valid for any joint force τ, thus:
By transferring Eq. (25), we get:
This is the stiffness equation of the VTM for general purpose. When driven independently, N will be an identity matrix, and the equation can be simplified to Eq. (23).
4 Study of the Rigidity Characteristics
Based on the VTM’s stiffness equation described in Section 3, several case studies will be presented. We therefore consider several typical configurations.
For the convenience of experimental verification of the results, the rigidity characteristics of a scaled VTM with ratio 1:10 to normal size is studied here. The length of its hydraulic cylinder l_{i} is 540 mm. The designed parameters of its MP and FP are as follows: r_{a} = 403.278 mm, r_{b} = 378.948 mm; γ = 20°; Δφ_{a} = 30°0′2″, Δγ_{a} = 11°37′9″; Δφ_{b} = 56°59′45″, Δγ_{b} = 11°37′9″.
4.1 Rigidity Characteristics of Single Jack
This section focuses on a comparison between the rigidity characteristics of a single jack in two different driving modes. The rigidity characteristics of a single jack can be expressed as its linear structural stiffness. Suppose the equivalent hydraulic cylinder length of the hydraulic pipes l_{e} = 100 mm, according to its stiffness equation (Eq. 11), the stiffness curves of the SPS propelling jack are shown in Figure 6.
Figure 6 demonstrates that the stiffness of the hydraulic cylinder decreases while its displacement (i.e., the position of the hydraulic cylinder) increases, and the stiffness in differential drive mode is obviously lower than the stiffness in conventional drive mode. Let
where k_{d}, k_{c} and ξ_{r} represent the stiffness in differential drive mode, the stiffness in conventional drive mode, and their relative value. Then, relative stiffness ξ_{r} will vary depending on the equivalent hydraulic cylinder length of the hydraulic pipes l_{e} and the position of the cylinder as shown in Figure 7.
Figure 7 demonstrates that given the equivalent hydraulic cylinder length of the hydraulic pipes l_{e}, the position of the cylinder has little effect on the relative stiffness ξ_{r}. Given the position of the cylinder, the relative stiffness ξ_{r} is proportional to the equivalent hydraulic cylinder length of the hydraulic pipes l_{e.}
4.2 Rigidity Characteristics of the VTM’s Different Configurations
This section focuses on the rigidity characteristics and different configurations of the VTM. For convenience, the three shifting axes are named the Xaxis, Yaxis, and Zaxis, and the three rotating axes are named the Aaxis, Baxis, and Caxis respectively. By using Eq. (26) in analyzing the typical configuration described in Eq. (7), the VTM’s stiffness matrix can be obtained. The main stiffness of each axis can be used to express its rigidity characteristics, the results are shown in Figure 8.
Figure 8 demonstrates that the stiffness on the Zaxis, Aaxis and Baxis is much higher than the stiffness on the Xaxis, Yaxis and Caxis. For two anear hydraulic cylinders, the overconstrained drive mode provides them with slightly higher stiffness than the exactconstrained drive mode. For the underconstrained configuration N_{1}, its main stiffness is none, zero on the Zaxis alone. For the singularity configuration N_{4}, its stiffness on the Caxis is zero.
Once the jacks are given and their working states are set, the stiffness along the Zaxis is not affected by the reconfiguration or the grouping of hydraulic cylinders. The stiffness along the Zaxis could only be altered by deactivating certain propelling jacks (e.g., the configuration N_{5}) or the working states of the jacks.
4.3 Rigidity Characteristics of Different Working States of the VTM’s
This section focuses on the rigidity characteristics of the VTM’s that have worked in different states for the given configurations. Two typical configurations will be discussed here. The first is an exactconstrained symmetrical configuration N_{3}, and the second is an overconstrained unsymmetrical configuration N_{6}. The main stiffness of each axis is used to express its rigidity characteristics as described in Section 4.2.
4.3.1 Exactconstrained Symmetrical Configuration
For the configuration N_{3}, all propelling jacks participate in propelling duty, and there are 2^{12} = 4096 working states in total. The main stiffness that covers the Xaxis, Yaxis, and Zaxis in different working states is shown in Figures 9, 10, 11.
Figures 9, 10, 11 demonstrate that the stiffness on the Zaxis is much higher than the stiffness on the Xaxis and Yaxis. The main stiffness on each axis varies substantially via different working states, thus providing an advantage in matching its stiffness. For the configuration described above, the stiffness on the A axis, Baxis and Caxis will satisfy:
where the ratio ξ_{k} is proportional to the position of the MP, and is independent of working states. Let us take configuration N_{3} as an example; the relative stiffness ratio (ξ_{k}) is defined as the ration of linear stiffness (stiffness of Zaxis) to its gyro stiffness (stiffness of Caxis). Figure 12 shows that its relative stiffness ratio (ξ_{k}) is directly proportional to the position of MP (i.e., the length of the hydraulic cylinder).
4.3.2 Overconstrained Unsymmetrical Configuration
As mentioned in Section 2.2, the configuration N_{6} described in Eq. (7) has seven drives creating one overconstraint. This configuration has 2^{11}=2048 working states in total. Its relative stiffness ξ_{k} corresponds to the working states as described in Section 4.3.1, and is shown in Figure 13.
Figure 13 demonstrates that the relative stiffness ratio ξ_{k} is no longer a fixed value, as its distribution varies within a certain range. For the given configuration N_{6}, the relative stiffness along the Baxis to the Yaxis is the smallest, with a lower fluctuating range, and the relative stiffness along the Aaxis to the Xaxis is the largest, with a higher fluctuating range. The stiffness along the Yaxis is obviously smaller than the stiffness along the Xaxis. This type of configuration is suitable for the uneven turning face of the TBM.
5 Conclusions

(1)
This research proposes a feasible reconfigurable method with the configuration matrix used to describe the relationship between propelling jacks undergoing reconfiguration. Based upon this, the VTM can be reconfigured to exactconstrained, overconstrained, and/or underconstrained configurations, and its stiffness can be altered on demand. Furthermore, a feasible method to reset the working states of the hydraulic cylinders of the VTM has been proposed, with the working pattern vector adopted to describe the driving modes of each hydraulic cylinder. The VTM can operate in thousands of states, and its stiffness can be adapted to match the requirements of the environment.

(2)
Based on the dynamic compatible equation and the kinematic harmonizing equation, the rigidity modeling method of the reconfigurable VTM is presented, and its concise stiffness equation established. The proposed method provides an effective algorithm for the structural stiffness of the VTM, and this lays a solid theoretical foundation for calculating performance indexes.

(3)
The stiffness of the jack is inversely proportional to its displacement, and the stiffness in differential drive mode is obviously lower than that of the generalized drive mode. This is one of the main factors affecting structural rigidity of the VTM. When the configuration of the VTM is provided, via altering the driving modes of each jack, the stiffness along each axis could be efficiently altered, except for the stiffness alone the Zaxis.

(4)
For two nearby and a near hydraulic cylinders, overconstrained drive mode (in different groups) provides them with slightly higher stiffness than exactconstrained drive mode (in the same group), for their location, deviations are small. However, for two nearby and afar hydraulic cylinders, overconstrained drive mode (in different groups) provides them with obviously lower stiffness than the exactconstrained drive mode (in the same group), for their location, deviations are high. This is another main factor that affects the structural rigidity of the VTM, and provides useful information for matching and optimizing VTM structural rigidity.
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Authors’ Contributions
XL, YX were in charge of the whole trial, and wrote the manuscript; JX assisted with sampling and laboratory analyses. All authors read and approved the final manuscript.
Authors’ Information
Younan Xu, born in 1965, is currently a professor in East China Jiaotong University, China. He received his PhD degree from Tsinghua University, China, in 2013. His research interests include mechanology and robotics.
Xinjun Liu, Humboldt Research Fellow, Scholars of Yangtze River, born in 1973, is currently a professor and doctoral supervisor in Tsinghua University, China. He received his PhD degree from Yansan University, China, in 1999, and became a postdoctoral researcher in Tsinghua University, China, between 2000 and 2001. His research interests include mechanology, robotics, and advanced manufacturing technology.
Jiyu Xu, born in 1992, is currently a master degree candidate in Department of Mechanical Engineering and Aerospace, Polytechnic of Torin, Italy.
Competing Interests
The authors declare that they have no competing interests.
Funding
Supported by National Natural Science Foundation of China (Grant No. 51675180), and National Key Basic Research Program of China (973 Program, Grant No. 2013CB037503).
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Xu, Y., Liu, X. & Xu, J. Research on the Structural Rigidity Characteristics of a Reconfigurable TBM Thrust Mechanism. Chin. J. Mech. Eng. 32, 107 (2019). https://doi.org/10.1186/s1003301904169
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DOI: https://doi.org/10.1186/s1003301904169
Keywords
 Reconfigurable TBM thrust mechanism
 Structural rigidity characteristics
 Configuration matrix
 Pattern vector
 Kinematic harmonizing equation
 Dynamic compatible equation
 Structural stiffness equations