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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

Postal Subscription Code 80-968

2018 Impact Factor: 1.272

Front. Struct. Civ. Eng.    2023, Vol. 17 Issue (5) : 669-685    https://doi.org/10.1007/s11709-023-0963-0
RESEARCH ARTICLE
Layout optimization of steel reinforcement in concrete structure using a truss-continuum model
Anbang CHEN1, Xiaoshan LIN1, Zi-Long ZHAO2, Yi Min XIE1()
1. Centre for Innovative Structures and Materials, School of Engineering, RMIT University, Melbourne 3001, Australia
2. Institute of Solid Mechanics, School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
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Abstract

Owing to advancement in advanced manufacturing technology, the reinforcement design of concrete structures has become an important topic in structural engineering. Based on bi-directional evolutionary structural optimization (BESO), a new approach is developed in this study to optimize the reinforcement layout in steel-reinforced concrete (SRC) structures. This approach combines a minimum compliance objective function with a hybrid truss-continuum model. Furthermore, a modified bi-directional evolutionary structural optimization (M-BESO) method is proposed to control the level of tensile stress in concrete. To fully utilize the tensile strength of steel and the compressive strength of concrete, the optimization sensitivity of steel in a concrete–steel composite is integrated with the average normal stress of a neighboring concrete. To demonstrate the effectiveness of the proposed procedures, reinforcement layout optimizations of a simply supported beam, a corbel, and a wall with a window are conducted. Clear steel trajectories of SRC structures can be obtained using both methods. The area of ​​critical tensile stress in concrete yielded by the M-BESO is more than 40% lower than that yielded by the uniform design and BESO. Hence, the M-BESO facilitates a fully digital workflow that can be extremely effective for improving the design of steel reinforcements in concrete structures.

Keywords bi-directional evolutionary structural optimization      steel-reinforced concrete      concrete stress      reinforcement method      hybrid model     
Corresponding Author(s): Yi Min XIE   
Just Accepted Date: 02 March 2023   Online First Date: 12 June 2023    Issue Date: 14 July 2023
 Cite this article:   
Anbang CHEN,Xiaoshan LIN,Zi-Long ZHAO, et al. Layout optimization of steel reinforcement in concrete structure using a truss-continuum model[J]. Front. Struct. Civ. Eng., 2023, 17(5): 669-685.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-023-0963-0
https://academic.hep.com.cn/fsce/EN/Y2023/V17/I5/669
Fig.1  2D truss element model for steel reinforcement in concrete: (a) orthogonal-diagonal steel bar model with four types of truss elements; (b) truss element-i with orientation θ; (c) steel-reinforced concrete structure with steel trusses embedded in concrete matrix.
Fig.2  Filter regions of two types of truss members: (a) type I and (b) type III.
Fig.3  Stress state calculation of host concrete around truss element.
Fig.4  Flowchart of BESO and M-BESO methods.
Fig.5  Simply supported beam: (a) structure; (b) uniform trusses; (c) optimized steel truss layout obtained via BESO; (d) optimized steel truss layout obtained via M-BESO. (In the color bar, the positive and negative values denote tensile and compressive stresses, respectively.)
Fig.6  Reinforcements of simply supported beam: (a) linear elastic rebars and (b) damage-based embedded rebars from Amir and Sigmund [54] (Reprinted from Structural and Multidisciplinary Optimization, 47(2), Amir O, Sigmund O, Reinforcement layout design for concrete structures based on continuum damage and truss topology optimization, 157–174, Copyright 2013, with permission from Springer.), (c) Yang et al. [57] (Reprinted from Structural and Multidisciplinary Optimization, 67(1), Yang Z, Zhou K, Qiao S, Topology optimization of reinforced concrete structure using composite truss-like model, 79–85, Copyright 2018, with permission from Techno.), and (d) Cui et al. [59] (Reprinted from Latin American Journal of Solids and Structures, 17(4), Cui H, Zhou K, Yang Z, Reinforcement layout design of RC structures under multiple load cases using truss-like material model, 17, Copyright 2020, with permission from MARCíLIO ALVES LAJSS.).
Fig.7  Evolutions of the objective function (C(0) = 1112.4 N·m) and risk ratio (RFPS > 2(0) = 16.1%) for simply supported beam: (a) BESO and (b) M-BESO results. Dashed line represents the volume fraction constraint.
indicatorC (N·m) RFPS > 2 (%)
uniform2325.433.2
BESO1449.735.7
M-BESO2145.917.0
Tab.1  Compliance and RFPS > 2 for simply supported beams with different truss layouts
Fig.8  FPS contours of simply supported beam: (a) structure with uniform steel reinforcement; (b) BESO results; (c) M-BESO results.
Fig.9  Corbel numerical examples: (a) structure; (b) uniform trusses; (c) optimized steel truss layout obtained via BESO; (d) optimized steel truss layout obtained via M-BESO method.
Fig.10  Corbel examples: (a) STM from topology optimization by Liang et al. [20] (Authorized reprint from ACI Materials Journal, 97(2), 2000, Liang Q Q, Xie Y M, Steven G P, Topology optimization of strut and-tie models in reinforced concrete structures using an evolutionary procedure.); (b) reinforcement layout by Cui et al. [59] (Reprinted from Latin American Journal of Solids and Structures, 17(4), Cui H, Zhou K, Yang Z, Reinforcement layout design of RC structures under multiple load cases using truss-like material model, 17, Copyright 2020, with permission from MARCíLIO ALVES LAJSS.); (c) optimized layout; (d) damage in optimized structure by Amir [68] (Reprinted from Computers & Structures, 114, Amir O, A topology optimization procedure for reinforced concrete structures, 46–58, Copyright 2013, with permission from Elsevier.).
indicatorC (N·m) RFPS > 2 (%)
uniform9224.534.4
BESO7011.127.9
M-BESO8685.121.2
Tab.2  Compliance and RFPS > 2 for corbels with different truss layouts
Fig.11  Evolutions of compliance and RFPS > 2 for the corbels: (a) BESO; (b) M-BESO results.
Fig.12  FPS contours of the corbels: (a) uniform steel truss; (b) BESO results; (c) M-BESO results.
Fig.13  Wall with a window: (a) structure; (b) uniform trusses; (c) optimized steel truss layout obtained via BESO; (d) optimized steel truss layout obtained via M-BESO.
Fig.14  Wall with a window: (a) STM from Liang et al. [20] (Authorized reprint from ACI Materials Journal, 97(2), 2000, Liang Q Q, Xie Y M, Steven G P, Topology optimization of strut and-tie models in reinforced concrete structures using an evolutionary procedure.); (b) steel layout from Yang et al. [57] (Reprinted from Structural and Multidisciplinary Optimization, 67(1), Yang Z, Zhou K, Qiao S, Topology optimization of reinforced concrete structure using composite truss-like model, 79–85, Copyright 2018, with permission from Techno.); (c) damage-based topology optimization from Amir and Sigmund [54] (Reprinted from Structural and Multidisciplinary Optimization, 47(2), Amir O, Sigmund O, Reinforcement layout design for concrete structures based on continuum damage and truss topology optimization, 157–174, Copyright 2013, with permission from Springer.); (d) STM-based reinforcement detailing from Silveira et al. [49] (Reprinted from Structures, 41, Silveira M V, Bitencourt L A, Das S, A performance-based optimization framework applied to a classical STM-designed deep beam, 488–500, Copyright 2022, with permission from Elsevier.).
Fig.15  Evolution of compliance and RFPS > 2 for wall with a window: (a) BESO; (b) M-BESO results.
indicatorC (N·m) RFPS > 2 (%)
uniform1304525.2
BESO696233.2
M-BESO150369.7
Tab.3  Compliance and RFPS > 2 for wall with different truss layouts
Fig.16  FPS contours of wall with a window: (a) uniform steel structure; (b) BESO results; (c) M-BESO results.
1 A Shishegaran, B Karami, T Rabczuk, A Shishegaran, M A Naghsh, M Mohammad Khani. Performance of fixed beam without interacting bars. Frontiers of Structural and Civil Engineering, 2020, 14(5): 1180–1195
https://doi.org/10.1007/s11709-020-0661-0
2 A Shishegaran, H Varaee, T Rabczuk, G Shishegaran. High correlated variables creator machine: Prediction of the compressive strength of concrete. Computers & Structures, 2021, 247: 106479
https://doi.org/10.1016/j.compstruc.2021.106479
3 H Varaee, A Shishegaran, M R Ghasemi. The life-cycle cost analysis based on probabilistic optimization using a novel algorithm. Journal of Building Engineering, 2021, 43: 103032
https://doi.org/10.1016/j.jobe.2021.103032
4 A Shishegaran, A N Boushehri, A F Ismail. Gene expression programming for process parameter optimization during ultrafiltration of surfactant wastewater using hydrophilic polyethersulfone membrane. Journal of Environmental Management, 2020, 264: 110444
https://doi.org/10.1016/j.jenvman.2020.110444
5 M S Es-Haghi, A Shishegaran, T Rabczuk. Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames. Frontiers of Structural and Civil Engineering, 2020, 14(5): 1110–1130
https://doi.org/10.1007/s11709-020-0643-2
6 B Karami, A Shishegaran, H Taghavizade, T Rabczuk. Presenting innovative ensemble model for prediction of the load carrying capacity of composite castellated steel beam under fire. Structures, 2021, 33: 4031–4052
https://doi.org/10.1016/j.istruc.2021.07.005
7 M A Naghsh, A Shishegaran, B Karami, T Rabczuk, A Shishegaran, H Taghavizadeh, M Moradi. An innovative model for predicting the displacement and rotation of column-tree moment connection under fire. Frontiers of Structural and Civil Engineering, 2021, 15(1): 194–212
https://doi.org/10.1007/s11709-020-0688-2
8 A Shishegaran, M R Ghasemi, H Varaee. Performance of a novel bent-up bars system not interacting with concrete. Frontiers of Structural and Civil Engineering, 2019, 13(6): 1301–1315
https://doi.org/10.1007/s11709-019-0552-4
9 A Shishegaran, M Moradi, M A Naghsh, B Karami, A Shishegaran. Prediction of the load-carrying capacity of reinforced concrete connections under post-earthquake fire. Journal of Zhejiang University. Science A, 2021, 22(6): 441–466
https://doi.org/10.1631/jzus.A2000268
10 A Bigdeli, A Shishegaran, M A Naghsh, B Karami, A Shishegaran, G Alizadeh. Surrogate models for the prediction of damage in reinforced concrete tunnels under internal water pressure. Journal of Zhejiang University. Science A, 2021, 22(8): 632–656
https://doi.org/10.1631/jzus.A2000290
11 T Abdelaleem, H M Diab, M M Rashwan. New aspects about the effect of critical regions reinforcement on the strength and moment redistribution of RC continuous T-beams (Experimental and numerical study). Structures, 2021, 34: 4834–4850
https://doi.org/10.1016/j.istruc.2021.10.065
12 J Schlaich, K Schafer. Design and detailing of structural concrete using strut-and-tie models. Structural Engineering, 1991, 69: 113–125
13 P Kumar. Optimal force transmission in reinforced concrete deep beams. Computers & Structures, 1978, 8(2): 223–229
https://doi.org/10.1016/0045-7949(78)90026-3
14 F Biondini, F Bontempi, P G Malerba. Optimisation of strut and-tie models in reinforced concrete structures. In: Australasian Conference on Structural Optimization. Sydney: Oxbridge Press, 1998, 1–10
15 F Bontempi, P G Malerba. Stress path adapting strut-and-tie models in cracked and uncracked RC elements. Structural Engineering and Mechanics, 2001, 12(6): 685–698
https://doi.org/10.12989/sem.2001.12.6.685
16 M A Ali, R N White. Automatic generation of truss model for optimal design of reinforced concrete structures. ACI Materials Journal, 2001, 98: 431–442
17 R Perera, J Vique. Strut-and-tie modelling of reinforced concrete beams using genetic algorithms optimization. Construction & Building Materials, 2009, 23(8): 2914–2925
https://doi.org/10.1016/j.conbuildmat.2009.02.016
18 A Chen, K Cai, Z L Zhao, Y Zhou, L Xia, Y M Xie. Controlling the maximum first principal stress in topology optimization. Structural and Multidisciplinary Optimization, 2021, 63(1): 327–339
https://doi.org/10.1007/s00158-020-02701-5
19 J Gao, Z Luo, H Li, P Li, L Gao. Dynamic multiscale topology optimization for multi-regional micro-structured cellular composites. Composite Structures, 2019, 211: 401–417
https://doi.org/10.1016/j.compstruct.2018.12.031
20 Q Q Liang, Y M Xie, G P Steven. Topology optimization of strut-and-tie models in reinforced concrete structures using an evolutionary procedure. ACI Materials Journal, 2000, 97: 322–332
21 Q Q Liang, Y M Xie, G P Steven. Generating optimal strut-and-tie models in prestressed concrete beams by performance-based optimization. ACI Materials Journal, 2001, 98: 226–232
22 L J Leu, C W Huang, C S Chen, Y P Liao. Strut-and-tie design methodology for three-dimensional reinforced concrete structures. Journal of Structural Engineering, 2006, 132(6): 929–938
https://doi.org/10.1061/(ASCE)0733-9445(2006)132:6(929
23 H G Kwak, S H Noh. Determination of strut-and-tie models using evolutionary structural optimization. Engineering Structures, 2006, 28(10): 1440–1449
https://doi.org/10.1016/j.engstruct.2006.01.013
24 M Bruggi. Generating strut-and-tie patterns for reinforced concrete structures using topology optimization. Computers & Structures, 2009, 87(23−24): 1483–1495
https://doi.org/10.1016/j.compstruc.2009.06.003
25 H Guan. Strut-and-tie model of deep beams with web openings—An optimization approach. Structural Engineering and Mechanics, 2005, 19(4): 361–380
https://doi.org/10.12989/sem.2005.19.4.361
26 Z Q He, Z Liu. Optimal three-dimensional strut-and-tie models for anchorage diaphragms in externally prestressed bridges. Engineering Structures, 2010, 32(8): 2057–2064
https://doi.org/10.1016/j.engstruct.2010.03.006
27 M P Bendsøe, O Sigmund. Material interpolation schemes in topology optimization. Archive of Applied Mechanics, 1999, 69(9−10): 635–654
https://doi.org/10.1007/s004190050248
28 X Huang, Y M Xie. Convergent and mesh-independent solutions for the bi-directional evolutionary structural optimization method. Finite Elements in Analysis and Design, 2007, 43(14): 1039–1049
https://doi.org/10.1016/j.finel.2007.06.006
29 D Da, L Xia, G Li, X Huang. Evolutionary topology optimization of continuum structures with smooth boundary representation. Structural and Multidisciplinary Optimization, 2018, 57(6): 2143–2159
https://doi.org/10.1007/s00158-017-1846-6
30 M Y Wang, X Wang, D Guo. A level set method for structural topology optimization. Computer Methods in Applied Mechanics and Engineering, 2003, 192(1−2): 227–246
https://doi.org/10.1016/S0045-7825(02)00559-5
31 X Guo, W S Zhang, M Y Wang, P Wei. Stress-related topology optimization via level set approach. Computer Methods in Applied Mechanics and Engineering, 2011, 200(47−48): 3439–3452
https://doi.org/10.1016/j.cma.2011.08.016
32 P Wei, Z Li, X Li, M Y Wang. An 88-line MATLAB code for the parameterized level set method based topology optimization using radial basis functions. Structural and Multidisciplinary Optimization, 2018, 58(2): 831–849
https://doi.org/10.1007/s00158-018-1904-8
33 W Zhang, J Yuan, J Zhang, X Guo. A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model. Structural and Multidisciplinary Optimization, 2016, 53(6): 1243–1260
https://doi.org/10.1007/s00158-015-1372-3
34 Z C He, Y Wu, E Li. Topology optimization of structure for dynamic properties considering hybrid uncertain parameters. Structural and Multidisciplinary Optimization, 2018, 57(2): 625–638
https://doi.org/10.1007/s00158-017-1769-2
35 Z L Zhao, S Zhou, X Q Feng, Y M Xie. Morphological optimization of scorpion telson. Journal of the Mechanics and Physics of Solids, 2020, 135: 103773
https://doi.org/10.1016/j.jmps.2019.103773
36 Z L Zhao, S Zhou, X Q Feng, Y M Xie. On the internal architecture of emergent plants. Journal of the Mechanics and Physics of Solids, 2018, 119: 224–239
https://doi.org/10.1016/j.jmps.2018.06.014
37 J Ma, Z L Zhao, S Lin, Y M Xie. Topology of leaf veins: Experimental observation and computational morphogenesis. Journal of the Mechanical Behavior of Biomedical Materials, 2021, 123: 104788
https://doi.org/10.1016/j.jmbbm.2021.104788
38 Y Rong, Z L Zhao, X Q Feng, Y M Xie. Structural topology optimization with an adaptive design domain. Computer Methods in Applied Mechanics and Engineering, 2022, 389: 114382
https://doi.org/10.1016/j.cma.2021.114382
39 Y Qiu, S Zhang, W Zhang, H Ye, H Zhang, Y Zheng. Coupling moving morphable voids and components based topology optimization of hydrogel structures involving large deformation. Journal of Applied Mechanics, 2022, 89(1): 89
https://doi.org/10.1115/1.4052431
40 Z Hu, H Zhang, Y Zheng, H Ye. Phase-field implicit material point method with the convected particle domain interpolation for brittle–ductile failure transition in geomaterials involving finite deformation. Computer Methods in Applied Mechanics and Engineering, 2022, 390: 114420
https://doi.org/10.1016/j.cma.2021.114420
41 Z L Zhao, S Zhou, K Cai, Y M Xie. A direct approach to controlling the topology in structural optimization. Computers & Structures, 2020, 227: 106141
https://doi.org/10.1016/j.compstruc.2019.106141
42 K Yang, Z L Zhao, Y He, S Zhou, Q Zhou, W Huang, Y M Xie. Simple and effective strategies for achieving diverse and competitive structural designs. Extreme Mechanics Letters, 2019, 30: 100481
https://doi.org/10.1016/j.eml.2019.100481
43 J Ma, Z Li, Z L Zhao, Y M Xie. Creating novel furniture through topology optimization and advanced manufacturing. Rapid Prototyping Journal, 2021, 27(9): 1749–1758
44 Y Xiong, S Yao, Z L Zhao, Y M Xie. A new approach to eliminating enclosed voids in topology optimization for additive manufacturing. Additive Manufacturing, 2020, 32: 101006
https://doi.org/10.1016/j.addma.2019.101006
45 Y Xia, M Langelaar, M A Hendriks. Optimization-based three-dimensional strut-and-tie model generation for reinforced concrete. Computer-Aided Civil and Infrastructure Engineering, 2021, 36(5): 526–543
https://doi.org/10.1111/mice.12614
46 O M Querin, M Victoria, P Martí. Topology optimization of truss-like continua with different material properties in tension and compression. Structural and Multidisciplinary Optimization, 2010, 42(1): 25–32
https://doi.org/10.1007/s00158-009-0473-2
47 M Victoria, O M Querin, P Martí. Generation of strut-and-tie models by topology design using different material properties in tension and compression. Structural and Multidisciplinary Optimization, 2011, 44(2): 247–258
https://doi.org/10.1007/s00158-011-0633-z
48 S Liu, H Qiao. Topology optimization of continuum structures with different tensile and compressive properties in bridge layout design. Structural and Multidisciplinary Optimization, 2011, 43(3): 369–380
https://doi.org/10.1007/s00158-010-0567-x
49 M V Silveira, L A Bitencourt, S Das. A performance-based optimization framework applied to a classical STM-designed deep beam. Structures, 2022, 41: 488–500
https://doi.org/10.1016/j.istruc.2022.05.035
50 L Yang, X Lin, H Li, R J Gravina. A new constitutive model for steel fibre reinforced concrete subjected to dynamic loads. Composite Structures, 2019, 221: 110849
https://doi.org/10.1016/j.compstruct.2019.04.021
51 H Ghasemi, P Kerfriden, S P A Bordas, J Muthu, G Zi, T Rabczuk. Interfacial shear stress optimization in sandwich beams with polymeric core using non-uniform distribution of reinforcing ingredients. Composite Structures, 2015, 120: 221–230
https://doi.org/10.1016/j.compstruct.2014.10.005
52 J K GuestC D Moen. Reinforced concrete design with topology optimization. In: Structures Congress 2010: 19th Analysis and Computation Specialty Conference. Orlando, FL: American Society of Civil Engineers, 2010, 445–454
53 A T Gaynor, J K Guest, C Moen. Reinforced concrete force visualization and design using bilinear truss-continuum topology optimization. Journal of Structural Engineering, 2013, 139(4): 607–618
https://doi.org/10.1061/(ASCE)ST.1943-541X.0000692
54 O Amir, O Sigmund. Reinforcement layout design for concrete structures based on continuum damage and truss topology optimization. Structural and Multidisciplinary Optimization, 2013, 47(2): 157–174
https://doi.org/10.1007/s00158-012-0817-1
55 Y Yang, C D Moen, J K Guest. Three-dimensional force flow paths and reinforcement design in concrete via stress-dependent truss-continuum topology optimization. Journal of Engineering Mechanics, 2015, 141(1): 04014106
https://doi.org/10.1061/(ASCE)EM.1943-7889.0000819
56 Y Luo, M Y Wang, M Zhou, Z Deng. Optimal topology design of steel–concrete composite structures under stiffness and strength constraints. Computers & Structures, 2012, 112: 433–444
https://doi.org/10.1016/j.compstruc.2012.09.007
57 Z Yang, K Zhou, S Qiao. Topology optimization of reinforced concrete structure using composite truss-like model. Structural Engineering and Mechanics, 2018, 67(1): 79–85
https://doi.org/10.12989/sem.2018.67.1.079
58 T Pastore, V Mercuri, C Menna, D Asprone, P Festa, F Auricchio. Topology optimization of stress-constrained structural elements using risk-factor approach. Computers & Structures, 2019, 224: 106104
https://doi.org/10.1016/j.compstruc.2019.106104
59 H Cui, K Zhou, Z Yang. Reinforcement layout design of RC structures under multiple load cases using truss-like material model. Latin American Journal of Solids and Structures, 2020, 17(4): 17
https://doi.org/10.1590/1679-78255930
60 H Ghasemi, R Brighenti, X Zhuang, J Muthu, T Rabczuk. Optimal fiber content and distribution in fiber-reinforced solids using a reliability and NURBS based sequential optimization approach. Structural and Multidisciplinary Optimization, 2015, 51(1): 99–112
https://doi.org/10.1007/s00158-014-1114-y
61 H Ghasemi, R Brighenti, X Zhuang, J Muthu, T Rabczuk. Optimization of fiber distribution in fiber reinforced composite by using NURBS functions. Computational Materials Science, 2014, 83: 463–473
https://doi.org/10.1016/j.commatsci.2013.11.032
62 H G KwakF C Filippou. Finite Element Analysis of Reinforced Concrete Structures Under Monotonic Loads. Berkeley, CA: Department of Civil Engineering, University of California, 1990
63 X HuangY M Xie. Evolutionary Topology Optimization of Continuum Structures: Methods and Applications. Chichester: John Wiley & Sons, 2010
64 O Sigmund, J Petersson. Numerical instabilities in topology optimization: A survey on procedures dealing with checkerboards, mesh-dependencies and local minima. Structural Optimization, 1998, 16(1): 68–75
https://doi.org/10.1007/BF01214002
65 B Bourdin. Filters in topology optimization. International Journal for Numerical Methods in Engineering, 2001, 50(9): 2143–2158
https://doi.org/10.1002/nme.116
66 Y Luo, J Bao. A material-field series-expansion method for topology optimization of continuum structures. Computers & Structures, 2019, 225: 106122
https://doi.org/10.1016/j.compstruc.2019.106122
67 J M Raphael. Tensile strength of concrete. Proceedings, 1984, 81: 158–165
68 O Amir. A topology optimization procedure for reinforced concrete structures. Computers & Structures, 2013, 114: 46–58
https://doi.org/10.1016/j.compstruc.2012.10.011
[1] Franz PERNER, Pius OBERNHUBER, . Analysis of arch dam deformations[J]. Front. Struct. Civ. Eng., 2010, 4(1): 102-108.
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