Abstract
By analysing the mechanical and geometrical relations between the main cable, tower, and splay saddles, and considering the coupling effect of the tower and splay saddles, an improved algorithm is proposed to determine the cable saddles pre-offsets of suspension bridges. The equilibrium relationship of the cable saddles, the compatible deformation condition, and the basic equation of the main cable shape are considered to establish several coupled non-linear equations up to 19, and the tower and splay saddle pre-offsets are obtained by solving the above equations with the Newton–Raphson method. This paper presents the initial value selection principle and the constraint conditions for solving the cable saddle pre-offsets of the plane cable suspension bridge and the calculation process ensures convergence. The calculation example demonstrates that the improved algorithm without an exact initial value can achieve excellent convergence.
Similar content being viewed by others
Introduction
In the suspension bridge, cable saddles are the main structures utilized to provide the main cable with support and to smoothly change the configuration of the main cable. The tower saddles, installed on top of the towers, transmit the perpendicular cable tensile force to the towers, while the splay saddles are located on top of the main cable trestles, which support, turn, and disperse the strands of the main cable1,2. Cable saddles are used to turn the main cables and can therefore directly constrain the deformation of the main cables3. If the saddles are installed in the positions for the completed bridge, there will inevitably be large unbalanced forces acting on the saddles in the unloaded state. These unbalanced forces may cause displacement of the towers and slippage of the cable strands in the saddles. Moreover, this will affect the safety of the entire bridge4,5,6,7. Therefore, to guarantee the safety of the suspension bridge construction, it is essential to consider the tower and splay saddles pre-offsets8,9.
Cable saddle pre-offset calculations for suspension bridges mostly use finite element methods or numerical analytical methods10,11,12,13. Compared to finite element methods, the numerical methods have a higher detail processing capability, a more explicit computational process, and a higher iterative convergence speed; thus, they are more widely applied to the calculation of suspension bridge cable saddle pre-offsets14.
This paper mainly researches numerical analytical methods for determining the pre-offsets of the tower and splay saddles. Ref.15 first calculated the cable configuration on the two sides of each tower saddle and the unbalanced tension forces on a cable segment under the condition of assuming an iterative initial value for the pre-offsets of each saddle. It then identified the relationship between the unbalanced forces and the slip stiffness of the cable saddle to perform the adjustment value of the pre-offsets and balanced the internal tension of the cable through multiple loop iterations. In Ref.16, a new concept—unbalanced force coefficient—was proposed to compute pre-offsets. Under the same premise as that of Refs.15,16 first calculated the unbalanced force coefficient and iteratively adjusted it by adding a different increment to the pre-offsets to meet the accuracy requirements. The above two methods were similar in that in both methods, the initial value of the pre-offsets was given and was continuously adjusted by iteration so that the forces of the cable saddles met the requirements to obtain the pre-offsets, and the difference was the interative initial value adjustment method. When considering the coupling effect of the tower and splay saddles, the two methods need to continuously try to calculate the balance conditions of the tower and splay saddles, which led to complex operations and low iteration efficiency. In Ref.17, the first step was to calculate the unstrained cable length based on the design state of the main cables under the final dead load. Then, the number of coupled nonlinear equations of the tower saddle and main cable, which reached up to 11, was erected based on the analysis of the cable saddle stress, and the pre-offsets were obtained by solving the system of equations. In Ref.18, the cable configuration in the unloaded state was calculated based on the principle that in the basic equation of the main cable alignment, the unstrained length of any cable segment remained constant during the structural construction and after its completion. The tower saddle’s pre-offsets were then solved. Although Refs.17,18 derived the nonlinear equations of the main cable saddle offsets, these algorithms aimed to solve the tower saddle pre-offsets without considering the joint action between the splay saddle and tower saddle offsets.
Based on the above research and analysis, this paper designed an improved algorithm to determine cable saddle pre-offsets. The proposed algorithm simultaneously considers the joint action of the splay and tower saddles in the calculation process. By analysing the tension on the saddle and main cable, the simultaneous equations are erected by applying the mechanical equilibrium and geometrical deformation conditions on both sides of the cable saddle19,20. Then the Newton–Raphson method is applied to solve the nonlinear equations and obtain the above pre-offsets. The proposed algorithm has the characteristics of a simple calculation process and efficient convergence.
Analysis of the main cable tension
In the preliminary research process21, the researchers have put forward the unified catenary equation of main cable alignment of the suspension bridge and the calculation formula of the unstressed cable length with the gradients as the basic parameter.
As shown in Fig. 1, the I-coordinate system is established, with the origin at the lowest point, O, and the left and right half x-axes directing horizontally to the left and right, respectively, and the y-axis pointing perpendicularly upwards. Define A0 = the area of the cross section of the unstrained cable section; q0 = the distributed load of the unstrained cable section; A = the area of the cross section of the anamorphic cable section; q = the distributed load of the deformed cable section; E = the elastic modulus of the main cable material; H = the horizontal component of the tension on the main cable.
When considering the influence of the elastic extension of the main cable on its dead weight concentration, the linear equations of the main cable are unified in Eqs. (1) and (2).
Then, the unstrained length of any cable segment i can be calculated by the undermentioned equation:
where zH(i) and zL(i) are the gradients at the highest and lowest points of any cable segment i, respectively.
Selection of balance conditions for tower and splay saddles
The cable saddle pre-offsets in the unloaded state enable both sides of the saddles to have a certain equilibrium relation.
A detailed analysis of the ideal equilibrium conditions of the cable saddle was performed in Ref.22 and it was considered that the equilibrium conditions of the tower saddles should fulfil the undermentioned requisites: (1) the tension of the main cable on the two sides of each tower saddle are equal; (2) the horizontal components of the main cable force on the two sides of each tower saddle are equal; (3) the projection of the main cable tension along the sliding surface of the saddle are equal. For common tower saddles, it can be guaranteed that the projection of the main cable tension along the sliding surface of the saddle is equal because of the horizontality of the tower. Therefore, this paper selects the second requirement to construct the following equations.
For domestic suspension bridges, there are two types of splay saddles: pendulum-type and roller-type saddles, and their structures are similar. Due to space limitations, the roller-type splay saddles (sliding splay saddles)23 are used in the calculation and analysis of this paper. Referring to the method described in Ref.24, the equilibrium condition of equal component forces of the main cables on both sides of the cable saddle along the sliding plane is selected for the analysis. The calculation method of the pendulum-type splay saddle is similar to the roller-type saddle and the difference is that the bending moment balance25 is used in the former equilibrium state.
Establishment of pre-offset equations considering the coupling effects of the tower and splay saddles
Taking single circular curved cable saddles as an example, the schematic of the determination of the pre-offsets of the tower and splay saddles is shown in Fig. 2. The following parameters are all known conditions in the completed state of the bridge.
Define: L1 = the horizon distance between the fixed points of the main cable saddle on the left and right sides of the main span; h1, S1 = the perpendicular distance and the unstrained length of the above section respectively; γi (i = 1,2) = the angle between the line connecting the fixed point of the main cable saddle with the centre of the circle and the perpendicular line passing through the centre of the circle; R1 = the radius of the main cable saddle.
Define: Li(i = 2,3) = the horizon distance from the fixed point of the main cable saddle of the side span to the fixed point of the splay saddle; hi(i = 2,3) , Si(i = 2,3) = the perpendicular distance and the unstrained length of the above section respectively; γi(i = 3,4) = the angle between the line connecting the fixed point of the splay saddle with the centre of the circle and the perpendicular line passing through the centre of the circle; R2 = the radius of the splay saddle.
Define: Li(i = 4,5) = the horizon distance from the fixed point of the splay saddle of the anchor span to the anchor point; hi(i = 4,5) , Si(i = 4,5) = the perpendicular distance and the unstrained length of the above section respectively; φi(i = 1,2) = the angle of the sliding surface of the splay saddle.
There are nineteen unknown parameters of the full bridge. Define: z1 and z2 as the tangent slope of the left main saddle on the main span and side span sides, separately; z3 and z4 as the tangent slope of the left splay saddle on the side span and anchor span sides, separately; z5 as the tangent slope of the main cable at the left anchor point; z6 and z7 as the tangent slope of the right main saddle on the main span and side span sides, separately; z8 and z9 as the tangent slope of the right splay saddle on the side span and anchor span sides, separately; z10 as the tangent slope of the main cable at the right anchor point; H1, H2, H3, H4,and H5 as the horizon tension of the main cable on the main span, side span, and anchor span sides, separately (especially in the unloaded state); Δxi(i = 1,2) and Δli(i = 1,2) as the pre-offsets of the main saddle and the splay saddle along the sliding surface in the unloaded state compared to the completed state, respectively. The schematics of the above parameters are shown in Figs. 2, 3, 4,5,6.
Expressing the angles as radians, for the main span:
Where \(\frac{{H_{1}^{2} z_{1} }}{EAq} + \frac{{H_{1} }}{q}\ln \left( {z_{1} + \sqrt {1 + z_{1}^{2} } } \right)\),\(\frac{{H_{1}^{2} z_{1}^{2} }}{2EAq}{ + }\frac{{H_{1} }}{q}\sqrt {1 + z_{1}^{2} } - \frac{{H_{1} }}{q}\) and \(\frac{{H_{1} z_{1} }}{q}\) represent the horizontal distance ,the perpendicular distance and the unstrained length from the tangent point of the main cable saddle to the lowest point of the main span, calculated by Eqs. (1), (2) and (3), respectively.(The method of determining the lowest position of catenary when the main tower is of unequal height has been given in Ref.21.)
The same can be obtained for the left side span:
for the right side span:
for the left anchor span:
and for the right anchor span:
The equilibrium condition of the tower and splay saddles is as follows:
for the left side of the whole bridge:
for the right side of the whole bridge:
Note that the geometrical relationship between the above main cable and the saddles may vary with the radius of the saddles. When programming, selection and judgment can be made according to the relationship between the obtained cable saddle tangent point and the circle centre. The calculation of the cable saddle pre-offsets requires solving several coupled non-linear equations composed of Eqs. (4–22) and reaching up to 19. The simultaneous equations can then be worked out by the Newton–Raphson method.
Calculation of cable saddle pre-offset equations using the Newton–Raphson method
Newton–Raphson method for solving cable saddle pre-offsets equations
Rewrite Eq. (4) to (22) as follows:
The determination variables are set as follows:
where xv is the component of vector X and j is the number of variables.
The dependent variables are set as follows:
where fv is the component of vector F and i is the number of dependent variables.
In a continuous neighbourhood of X, expand the Taylor series of fi as:
where \(o\left( {\delta X^{2} } \right)\) is a higher-order infinitesimal, which can be neglected.
The derivative of fi with respect to xj is can be expressed as follows:
The Jacobi matrix J is defined as follows:
The iterative formulas are expressed as follows:
where k is the number of iterations.
The programming calculation process in this paper is as follows:
-
(1)
Select the initial \(X^{0}\)
$$X^{0} { = }(x_{1}^{0} ,x_{2}^{0} , \ldots ,x_{19}^{0} ) = (z_{1}^{0} ,z_{2}^{0} , \cdots ,z_{10}^{0} ,H_{1}^{0} ,H_{2}^{0} ,H_{3}^{0} ,H_{4}^{0} ,H_{5}^{0} ,\Delta x_{1}^{0} ,\Delta x_{2}^{0} ,\Delta l_{1}^{0} ,\Delta l_{2}^{0} );$$
set the solution accuracy \(\varepsilon\) and assign a value of 1 to the iterative times k.
-
(2)
Calculate \(D_{i} = - f_{i} \left( {X^{k - 1} } \right)\left( {i = 1,2, \cdots ,19} \right)\)
If “\(\max \left| {D_{i} } \right| \le \varepsilon\)” is true and the constraints are satisfied, then the solution of the equations is as follows:
end.
If the above conditions are not satisfied, go to the third step.
-
(3)
Obtain the Jacobi matrix \(J_{ij}\), \(\delta X^{k}\), and \(X^{k}\) by using Eqs. (27), (29), and (30), respectively. The iteration is not finished until the stop** criterion is satisfied.
The algorithm flow is shown in Fig. 7.
In this way, the pre-offsets of the tower and splay saddle in the unloaded state are obtained, and the configuration and the internal force of the main cable are simultaneously obtained by the above calculation process.
Derivation of the Jacobi matrix
For Eqs. (4)–(22), define the matrix function F as:
Substituting these into the Eq. (27) leads to the Jacobi matrix:
where
Selection principle of the initial value X 0
To solve the nonlinear equations with the Newton–Raphson algorithm it is essential to select iterative initial values. Moreover, the iterative process may not even converge if the initial values are far from the actual results.
In this paper, the method of selecting the initial values is as follows:
According to the position of the cable saddles in the completed state of the bridge, the main cable configuration and the inner force are obtained. Consider the slopes of the tangent point of the tower and splay saddles and the anchor point as the initial values of z1, z2, z3, z4, z5, z6, z7, z8, z9, and z10, respectively, and the horizon tension of the main cable in the cable segments as the initial values of H1, H2,H3, H4, and H5, respectively. The initial value of the tower saddle and the splay saddles offset along the sliding surface can be taken as 1 m and 0.1 m, respectively. Then, the homotopy continuation method is applied to obtain the best initial values to reduce the influence of the initial value selection on the convergence of the Newton–Raphson algorithm.
Therefore, the function H(X,s) can be expressed as follows:
where the value range of s is [0,1] and F(X) is the homotopy to the primitive function F(X0).
where X0 is the selected initial value. Substituting Eq. (71) into Eq. (70), then
In this case, H(X,s) has the same derivative as F(X). The Newton–Raphson iterative process can generally ensure that the equations converge quickly under the condition of replacing F(X) with H(X,s).
Analytical verification
The area of the cross section of a suspension bridge main cable A = 1.488 m2, the distributed load of the main cable q = 116.03 kN/m, and the elastic modulus E = 200,000 MPa. The radii of the tower and splay saddles are 10.57 m and 7.5 m, respectively. In the completed state of the bridge, the horizon distance and the vertical distance between the fixed points of the main cable saddle on the left and right sides of the main span L1 = 1649.9729 m and h1 = 120.3 m; the unstrained length of the above section S1 = 1671.3033 m; the angle between the line connecting the fixed point of the main cable saddle with the centre of the circle and the perpendicular line passing through the centre of the circle γ1 = 0.02418446 rad and γ2 = 0.030656345 rad; the horizontal distance and the vertical distance from the fixed point of the main cable saddle of the side span to the fixed point of the splay saddle L2 = 465.6 m, h2 = 220.3 m, L3 = 465.6 m and h3 = 350.6 m, respectively; the unstrained length of the above section S2 = 513.8171 m and S3 = 582.3618 m; the angle between the line connecting the fixed point of the splay saddle with the centre of the circle and the perpendicular line passing through the centre of the circle γ3 = 0.49318446 rad and γ4 = 0.540656345 rad; the horizon distance and the perpendicular distance from the fixed point of the splay saddle of the anchor span to the anchor point L4 = 25.2795 m, h4 = 21.2120 m, L5 = 25.2795 m and h5 = 21.2120 m, respectively; the unstrained length of the above segment S4 = 33.4 m and S5 = 32.4 m, and the angle of the sliding surface of the splay saddle φ1 = 33.6784° and φ2 = 37.6911°.
The main cable configuration and inner force are obtained according to the position of the cable saddles in the completed situation of the bridge, including:
H1 = 362,580.4kN; H2 = 794,781.1 kN; H3 = 3,529,202.9 kN; H4 = 470,497.7 kN; H5 = 6,478,413.5 kN; z1 = 0.1920; z2 = 0.5127; z3 = 0.4386; z4 = 0.7976; z5 = 0.7965; z6 = 0.3411; z7 = 0.8305; z8 = 0.6887; z9 = 0.8269; z10 = 0.8264.
Considering the above values as the iterative initial values, the initial values Δxi (i = 1,2) and Δli(i = 1,2) are taken as 1 m and 0.1 m, respectively. Then, the calculated results in the program are shown in Table 1.The iterative results are listed in Table 2 adopting the method of Ref.16.
Comparing Tables 1 and 2, it can be seen that the pre-offsets of the tower and splay saddles calculated by the method of this paper are similar as those calculated by the method of Ref.16, but the method of Ref.16 needs to continuously try to calculate the balance conditions of the tower and splay saddles in the calculation process, and the calculation is cumbersome. Concurrently, it can also be seen that the pre-offsets of the cable saddles obtained by the above two methods can meet the balance conditions of the main and splay saddles.
Conclusions
(1) An improved algorithm has been developed for the calculation of cable saddle pre-offsets, considering the coupling effect of tower and splay saddles. The algorithm deduced the nineteen-element nonlinear equations with the consideration of the mechanical equilibrium relationship and geometrical deformation conditions of the saddle and the main cable. Then, the tower and splay saddles pre-offsets were obtained by solving the above equations with the Newton–Raphson method, and the mechanics concept was clear and the solution simple.
(2) An initial value selection method was proposed for solving the nonlinear equations with the Newton–Raphson method. According to the position of the cable saddles in the completed state of the bridge, the slope of each point and the horizontal component force were obtained, which were used as the initial values for the calculation of the slope and the horizontal component force. The initial value of the tower saddle and splay saddle pre-offsets along the sliding surface could be taken as 1 m and 0.1 m, respectively.
(3) The analysed example showed that the pre-offsets of the cable saddles calculated by the improved algorithm could meet the balance conditions with high accuracy. The improved algorithm was suitable for the calculation of the pre-offsets of the saddles of the plane cable suspension bridge.
Data availability
All data, models, and code generated or used during the study appear in the submitted article.
References
Wang, L. et al. Strand element analysis method for interaction between cable and saddle in suspension bridges. Eng. Struct. 242, 112283 (2021).
Wang, L. et al. Discrete analytical model for lateral mechanical behavior of cable-saddle system in suspension bridges. Eng. Struct. 221, 111087 (2020).
Zhang, W. M. Analytical methods for determining the cable configuration and construction parameters of a suspension bridge. Struct. Eng. Mech. 71, 603–625 (2019).
Jiang, T., Yu, Y., Zhang, X. & Huang, W. Comparative analysis of calculation methods for cable curve of landscape suspension bridges. J. Phys. Conf. Ser. 1624, 042043 (2020).
Wang, D. et al. Contact and slip behaviors of main cable of the long-span suspension bridge. Eng. Fail. Anal. 136, 106232 (2022).
Farmer, N. Book review: Cable supported bridges—Concept and design. Proc. Inst. Civ. Eng. Eng. Comput. Mech. 166, 229 (2013).
Zhou Z. Mechanism and mechanical behavior of delamination and slippage between wires or strands of cables for large-span bridges. SCUT (2016).
Myk, A., Mrj, A. & Mma, B. Unstrained length-based methods determining an optimized initial shape of 3-dimensional self-anchored suspension bridges. J. Comput. Struct. 217, 18–35 (2019).
Xun, X. U., Shiyi W. U., Liu, L. Construction safety control for lancangjiang river suspension bridge built by drawing anchorage cable strands. C Saf. Sci. Technol. VI pt.B.
Huang, Y. et al. New method for calculating the preoffsetting value of the saddle on suspension bridges considering the influence of more parameters. J. Bridge Eng. 21, 06016010 (2016).
Lu, P., Shao, H. & Cheng, J. Computational method for determining the mechanical tension in a self-anchored suspension bridge during construction and its engineering application. J. Eng. Comput. 34(4), 00–00 (2017).
Kim, H. K., Lee, M. J. & Chang, S. P. Determination of hanger installation procedure for a self-anchored suspension bridge. J. Eng. Struct. 28(7), 959–976 (2006).
Kim, H. K., Lee, M. J. & Chang, S. P. Non-linear shape-finding analysis of a self-anchored suspension bridge. J. Eng. Struct. 24(12), 1547–1559 (2002).
Zhang, W. M., Shi, L. Y., Li, L. & Liu, Z. Methods to correct unstrained hanger lengths and cable clamps’ installation positions in suspension bridges. J. Eng. Struct. 171, 202–213 (2018).
Tang, M. L., Shen, R. L. & Qiang, S. Z. An accurate calculation method for erecting curves of wire strands of long suspension bridges. J. Southwest Jiaotong Univ. 36(3), 303–307 (2001) ((in Chinese)).
Li, C. Static Nonlinear Theory and Practice of Modern Suspension Bridge (China Commun, Bei**g, 2014).
Wang, S. R., Zhou, Z. X., Gao, Y. M. & Xu, J. Newton–Raphson algorithm for pre-offsetting of cable saddle on suspension bridge. J. China J. Highw. Transp. 29(1), 82–88 (2016) ((in Chinese)).
Zhang, W. M., Qian, K. R., Tian, G. M. & Liu, Z. An analytical algorithm for the pylon saddle pushing stage and distance during the suspension bridge construction. J. Adv. Struct. Eng. 22(15), 3290–3305 (2019).
You **npeng, Zhang Zhaoxia, Yao Qingtao. Line-shape calculation method for suspension bridge catwalk considering different states of bearing cables. J. Eng. Sci. (2012)
Wang, S., Zhou, Z., Gao, Y. & Huang, Y. Analytical calculation method for the preliminary analysis of self-anchored suspension bridges. J. Math. Probl. Eng. 2015(PT.5), 1–12 (2015).
Deng, X. & Xu, G. New method for calculating main cable of suspension bridge. J. China Railw Soc. 41(5), 133–141 (2019) ((in Chinese)).
Tang, M. 3D geometric nonlinear analysis of long-span suspension bridge and ITS software development (Southwest Jiaotong University, 2003) ((in Chinese)).
Li, M., Liu, H. & Wang, Z. Innovative structural design of splay saddle of Yingwuzhou Yangtze river bridge. J. Railw. Eng. Soc. 28(7), 64–67 (2011) ((in Chinese)).
Wei, J. Study on calculation method of free cable shape for self-anchored suspension bridge. J. Highw. Transp. Res. Dev. 33(11), 93–98 (2016) ((in Chinese)).
Luo, X. Effect of saddle on cable shape of suspension bridges. J. Highw. Transp. Res. Dev. 22(8), 36–39 (2005) ((in Chinese)).
Acknowledgements
The authors are grateful to the anonymous referees and the Editor for providing valuable remarks and comments.
Author information
Authors and Affiliations
Contributions
**aokang Deng and Huiru Zhao derived the equations in this paper together and proposed the improved algorithm. Huiru Zhao wrote the main manuscript text and **aokang Deng revised the content of the manuscript. All authors reviewed the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Deng, X., Zhao, H. Improved algorithm for determining cable saddle pre-offsets considering the coupling effect of tower and splay saddles. Sci Rep 12, 22376 (2022). https://doi.org/10.1038/s41598-022-26676-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-022-26676-z
- Springer Nature Limited