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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.    2021, Vol. 15 Issue (3) : 595-608    https://doi.org/10.1007/s11709-021-0720-1
RESEARCH ARTICLE
Parametric equations for notch stress concentration factors of rib–deck welds under bending loading
Qiudong WANG, Bohai JI(), Zhongqiu FU, Yue YAO
College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China
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Abstract

The effective notch stress approach for evaluating the fatigue strength of rib–deck welds requires notch stress concentration factors obtained from complex finite element analysis. To improve the efficiency of the approach, the notch stress concentration factors for three typical fatigue-cracking modes (i.e., root–toe, root–deck, and toe–deck cracking modes) were thoroughly investigated in this study. First, we developed a model for investigating the effective notch stress in rib–deck welds. Then, we performed a parametric analysis to investigate the effects of multiple geometric parameters of a rib–deck weld on the notch stress concentration factors. On this basis, the multiple linear stepwise regression analysis was performed to obtain the optimal regression functions for predicting the notch stress concentration factors. Finally, we employed the proposed formulas in a case study. The notch stress concentration factors estimated from the developed formulas show agree well with the finite element analysis results. The results of the case study demonstrate the feasibility and reliability of the proposed formulas. It also shows that the fatigue design curve of FAT225 seems to be conservative for evaluating the fatigue strength of rib–deck welds.

Keywords notch stress concentration factor      rib–deck weld      parametric analysis      regression analysis      parametric equation     
Corresponding Author(s): Bohai JI   
Just Accepted Date: 12 May 2021   Online First Date: 13 July 2021    Issue Date: 14 July 2021
 Cite this article:   
Qiudong WANG,Bohai JI,Zhongqiu FU, et al. Parametric equations for notch stress concentration factors of rib–deck welds under bending loading[J]. Front. Struct. Civ. Eng., 2021, 15(3): 595-608.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-021-0720-1
https://academic.hep.com.cn/fsce/EN/Y2021/V15/I3/595
Fig.1  Fatigue stress at a weld.
Fig.2  Schematic of the model.
Fig.3  Finite element models with weld root or toe notch under bending loading. (a) Weld root notch; (b) weld toe notch.
Fig.4  Effect of meshing size on the effective notch stress.
Fig.5  Determination of the nominal stress points.
Fig.6  Kf based on different stresses.
k fk ck k fk ck k fk ck
1 1 0.07171 5 α2 − 0.00072 9 t1y 0.00432
2 α 0.07442 6 t12 − 0.00026 10 α y 0.00892
3 t1 0.02698 7 y2 − 0.16891
4 y − 0.06121 8 t1α 0.00049
Tab.1  Coefficients of the regression formula for Kf of full penetrated cruciform joints
Fig.7  Geometry of a full penetrated cruciform joint. Herein, t1 = t2 = 20 mm, L1 = L2 = 40 mm, l1 = l2 = 10 mm, α = 45°.
Fig.8  Nephogram of the first principle stress, including the boundary conditions.
Fig.9  Comparison of the FEA and estimated results. L1 = L2 = 40 mm, l1 = l2 = 10 mm, α = 45°.
Fig.10  Notch stress concentration positions obtained in this study. (a) Concentration position related to root–toe crack (CP1); (b) concentration position related to root–deck crack (CP2); (c) concentration position related to toe–deck crack (CP3).
Fig.11  Variation of effective notch stress concentration factor (Kf) at CP1 of weld root. (a) Effect of the weld penetration rate (1 − tp/tr) and rib thickness (tr); (b) effect of the weld penetration rate (1 − tp/tr) and relative weld leg length in the deck (lw,d/tr); (c) effect of the weld penetration rate (1 − tp/tr) and relative weld leg length in the rib (lw,r/tr); (d) effect of the weld penetration rate (1 − tp/tr) and the angle between the deck and the rib (θ); (e) effect of the weld penetration rate (1 − tp/tr) and relative deck thickness (td/tr).
Fig.12  Variation of Kf at CP2 of weld root. (a)Effect of the weld penetration rate (1 − tp/tr) and tr; (b) effect of the weld penetration rate (1 − tp/tr) and lw,d/tr; (c) effect of the weld penetration rate (1 − tp/tr) and lw,r/tr; (d) effect of the weld penetration rate (1 − tp/tr) and θ; (e) effect of the weld penetration rate (1 − tp/tr) and td/tr.
Fig.13  Variation of Kf at CP3 of weld toe. (a) Effect of the weld penetration rate (1 − tp/tr) and tr; (b) Effect of the weld penetration rate (1 − tp/tr) and lw,d/tr; (c) Effect of the weld penetration rate (1 − tp/tr) and lw,r/tr; (d) Effect of the weld penetration rate (1 − tp/tr) and θ; (e) Effect of the weld penetration rate (1 − tp/tr) and td/tr.
k fk ck CP1 ck CP2 ck CP3 k fk ck CP1 ck CP2 ck CP3
1 1 11.167 3.824 2.367 15 X1X3 2.159 −0.216 0.077
2 X1 −12.861 0.000 0.000 16 X1X4 2.960 0.000 0.000
3 X2 0.000 0.000 0.000 17 X1X5 0.000 0.000 0.000
4 X3 0.000 0.000 0.000 18 X1X6 1.543 0.182 0.000
5 X4 0.000 0.000 0.000 19 X2X3 0.000 0.000 0.000
6 X5 0.000 0.000 0.000 20 X2X4 0.000 −0.320 0.873
7 X6 0.000 −0.801 0.000 21 X2X5 0.000 0.000 0.000
8 X12 1.363 −0.085 0.114 22 X2X6 0.177 0.000 0.000
9 X22 0.000 0.000 0.000 23 X3X4 0.000 0.791 −0.259
10 X32 0.000 −0.229 0.000 24 X3X5 0.000 0.000 0.000
11 X42 1.989 −0.334 0.000 25 X3X6 −0.919 0.000 0.024
12 X52 −2.245 0.353 0.000 26 X4X5 0.000 0.000 0.000
13 X62 0.526 0.117 0.000 27 X4X6 −3.785 0.000 0.000
14 X1X2 0.792 0.578 −0.295 28 X5X6 0.000 0.000 0.000
Tab.2  Coefficients for the regression formula of KfCP1, KfCP2, and KfCP3
Fig.14  Comparison of FEA and estimated results. (a) Kf at CP1; (b) Kf at CP2; (c) Kf at CP3.
Fig.15  Validation of the proposed formula using additional data. (a) Kf at CP1; (b) Kf at CP2;(c) Kf at CP3.
Fig.16  Illustration of the fatigue test. (a) Geometry of full and 80% penetrated specimens; (b) bending loading mode.
deck plate thickness (mm) FEA, Kf1 estimated, Kf2 (Kf1 - Kf2) / Kf2 × 100%
14 2.681 2.707 −0.96%
16 2.759 2.711 1.77%
18 2.795 2.716 2.91%
Tab.3  Comparison of FEA and estimated values of Kf
Fig.17  Notch stress concentration and fatigue cracking of OSD series.
Fig.18  Fatigue data in the notch stress system.
model predictor variables R2 standard error of estimate
1 X0, X1X6 0.832 0.35968972
2 X0, X1X6, X4X6 0.930 0.23125343
3 X0, X1X6, X4X6, X1X5 0.946 0.20322842
4 X0, X4X6, X1X5 0.947 0.20242335
5 X0, X4X6, X1X5, X3X6 0.961 0.17420706
6 X0, X4X6, X1X5, X3X6, X12 0.970 0.15196302
7 X0, X4X6, X1X5, X3X6, X12, X1X2 0.977 0.13208737
8 X0, X4X6, X1X5, X3X6, X12, X1X2, X1X4 0.980 0.12270214
9 X0, X4X6, X1X5, X3X6, X12, X1X2, X1X4, X1X6 0.985 0.10805856
10 X0, X4X6, X1X5, X3X6, X12, X1X2, X1X4, X1X6, X1 0.989 0.09292036
11 X0, X4X6, X1X5, X3X6, X12, X1X2, X1X4, X1X6, X1, X52 0.992 0.07950012
12 X0, X4X6, X3X6, X12, X1X2, X1X4, X1X6, X1, X52 0.992 0.07909066
13 X0, X4X6, X3X6, X12, X1X2, X1X4, X1X6, X1, X52, X1X3 0.994 0.06530485
14 X0, X4X6, X3X6, X12, X1X2, X1X4, X1X6, X1, X52, X1X3, X2X6 0.995 0.06159826
15 X0, X4X6, X3X6, X12, X1X2, X1X4, X1X6, X1, X52, X1X3, X2X6, X62 0.995 0.05886461
16 X0, X4X6, X3X6, X12, X1X2, X1X4, X1X6, X1, X52, X1X3, X2X6, X62, X42 0.997 0.04973409
  Table A1 Stepwise regression analysis results of KfCP1
model predictor variables R2 standard error of estimate
1 X0, X1X3 0.856 0.04981720
2 X0, X1X3, X6 0.920 0.03700029
3 X0, X1X3, X6, X52 0.931 0.03432015
4 X0, X1X3, X6, X52, X2X4 0.939 0.03247062
5 X0, X1X3, X6, X52, X2X4, X1X2 0.953 0.02850526
6 X0, X1X3, X6, X52, X2X4, X1X2, X3X4 0.969 0.02319788
7 X0, X6, X52, X2X4, X1X2, X3X4 0.969 0.02321962
8 X0, X6, X52, X2X4, X1X2, X3X4, X42 0.971 0.02241161
9 X0, X6, X52, X2X4, X1X2, X3X4, X42, X1X6 0.974 0.02118114
10 X0, X6, X52, X2X4, X1X2, X3X4, X42, X1X6, X1X3 0.977 0.01988373
11 X0, X6, X52, X2X4, X1X2, X3X4, X42, X1X6, X1X3, X62 0.979 0.01901173
12 X0, X6, X52, X2X4, X1X2, X3X4, X42, X1X6, X1X3, X62, X12 0.980 0.01836800
13 X0, X6, X52, X2X4, X1X2, X3X4, X42, X1X6, X1X3, X62, X12, X32 0.981 0.01806100
  Table A2 Stepwise regression analysis results of KfCP2
model predictor variables R2 standard error of estimate
1 X0, X2X4 0.918 0.03051650
2 X0, X2X4, X3X4 0.967 0.01940469
3 X0, X2X4, X3X4, X1X2 0.975 0.01685447
4 X0, X2X4, X3X4, X1X2, X12 0.982 0.01423178
5 X0, X2X4, X3X4, X1X2, X12, X3X6 0.984 0.01355348
6 X0, X2X4, X3X4, X1X2, X12, X3X6, X1X3 0.986 0.01291298
  Table A3 Stepwise regression analysis results of KfCP3
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