Evaluation of residual stresses in a pipe-to-plate welded joint by means of uncoupled thermal-structural simulation and experimental tests

Chiocca, Andrea; Frendo, Francesco; Bertini, Leonardo

doi:10.1016/j.ijmecsci.2021.106401

Cited by 25 publications

(12 citation statements)

References 54 publications

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“…e shear strength is the opposite, decreasing first and then decreasing again [15][16][17][18][19][20].…”

Section: Discussionmentioning

confidence: 97%

Analyzing Welding Performance of Metal Using Artificial Neural Network

2022

Mobile Information Systems

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In recent years, the speed of modernization construction in China has been exponentially growing. The trend of high parameters, large capacity, and large-scale development of the welding structure has been promoted. It needs higher requirements on the type and quality of the welding materials. Most of the welding materials are imported to China. The main reason is that China still follows the traditional design method. The quality of the welding materials is also low. The design of metal welding materials involves many factors and properties. There is no fixed-function relationship between the properties and components of the welding materials. This makes it difficult to design metal welding materials. The emergence of neural network algorithms provides a new way to analyze the weldability of metal materials. In this paper, BP (backpropagation) network is used to analyze the welding performance of metals. The tensile test of welded joints is carried out through training test samples. The results show that the tensile strength and yield strength of metal materials are about 500 MPa (megapascals) and 400 MPa, respectively. For further analysis of the influence of welding current, electrode pressure, and power-on time on the tensile and shear strength of metal materials, a shear test and tension test were used. With the increase of welding current, the shear strength of spot welding continuously increased. When the welding current was 10,000A (Ampere), the shear strength decreased rapidly from 24.25 MPa to 18.84 MPa. After prolonging the welding time, at first, both tensile strength and shear strength increase and then decrease. When the welding pressure increases from 32psi to 48psi, the tensile strength increases from 16.47 MPa to 24.52 MPa and then decreases continuously to 17.26 MPa, whereas the shear strength decreases first and then increases.

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“…e shear strength is the opposite, decreasing first and then decreasing again [15][16][17][18][19][20].…”

Section: Discussionmentioning

confidence: 97%

Analyzing Welding Performance of Metal Using Artificial Neural Network

2022

Mobile Information Systems

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“…The welded joint was previously studied by the same authors examining its fatigue endurance under different loading conditions and in the presence of residual stresses. [4][5][6][42][43][44][45] For all the cases, FE-analyses were conducted using the second release of Ansys© 2021 software. Static structural analyses were performed assuming small displacements; structural steel S355 was considered as the material for all three case studies with linear elastic behavior, E ¼ 210GPa and ν ¼ 0:3.…”

Section: Methodsmentioning

confidence: 99%

“…2 Especially in such circumstances, finite element analysis (FEA) provides a valuable tool able to account for the complex features mentioned above. [3][4][5][6][7][8] The standard way to approach fatigue analysis consists of investigating the component's critical regions (i.e., considering stress/ strain gradients and multiaxiality) and applying the correct loading history (i.e., accounting for variable amplitude or randomness). However, given the wide variety of geometries, loading conditions, and damage parameters to be considered, the solution of such models can be time-consuming during both the solution and postprocessing phases.…”

Section: Introductionmentioning

confidence: 99%

Closed‐form solution for the Fatemi‐Socie extended critical plane parameter in case of linear elasticity and proportional loading

Chiocca,

Sgamma,

Frendo

2023

Fatigue Fract Eng Mat Struct

Self Cite

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Fatigue damage remains a significant issue for both metallic and non‐metallic components, being the main cause of in‐service failures. Among the different assessment methodologies, critical plane methods have gained significance as they enable identifying the critical location and the early crack propagation orientation. However, the standard plane scanning method used for calculating critical plane factors is computationally intensive, and as a result, it is usually applied only when the component's critical region is known in advance. In the presence of complex geometries, loads, or constraints, a more efficient method would be required. This work presents a closed‐form solution to efficiently evaluate a critical plane factor based on the Fatemi‐Socie criterion, in the case of isotropic linear‐elastic material behavior and proportional loading conditions. The proposed algorithm, based on tensor invariants and coordinate transformation laws, was tested on different case studies under various loading conditions, showing a significant reduction in computation time compared to the standard plane scanning method.

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“…The materials used to manufacture LNG inner tanks are regulated by the Maritime Safety Committee (MSC) [18,19]. In the case of cryogenic steel used in conventional LNG storage tanks, the LNG storage tank and STS pipe are connected for LNG cargo handling [20][21][22][23][24]. When the LNG storage tank is manufactured, most STS pipes are connected to it with dissimilar welding.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Welding Residual Stress Distribution in Dissimilar Weld Joints

Park

Lim

et al. 2022

Metals

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For the construction of ecofriendly ships, fuels such as liquefied natural gas (LNG), ammonia, and hydrogen are being discussed as alternatives. LNG fuel has recently been applied to shipbuilding. The most important aspect of an LNG propulsion ship is the LNG storage tank, because LNG is stored at a high pressure and low temperature. Cryogenic steels are needed to evaluate safety in weld joints, especially the LNG storage tank which has a dissimilar weld joint with a STS pipe. The dissimilar weld joint has a complex welding residual stress distribution. It is necessary to evaluate the effects of temperature changes that occur during the loading–unloading process of LNG. In this study, the residual stress distribution characteristics of heterogeneous welding parts welded to STS pipes using 9% Ni steel, STS, and high-manganese austenitic steel in an LNG storage tank were investigated through experimental and analytical methods. The thermal stress due to the difference in thermal expansion coefficient between cryogenic steel and the STS pipe occurred with a small amount in loading–unloading of LNG. When high-manganese austenitic steels and the STS pipe were joined, tensile stress was generated at the dissimilar weld joint owing to the temperature difference generated during the LNG loading–unloading process. STS has a homogenous weld joint and identical thermal expansion coefficients; therefore, the shrinkage and expansion were not affected by the temperature change. The welding residual stress at the dissimilar weld joints was measured via an experimental cutting method, and the results indicated that the tensile residual stress had distribution similar to the yield stress of the material. The stress generated by the temperature change and the welding residual stress overlapped and occurred during the loading–unloading process of the LNG tank; however, the final tensile stress below the tensile stress was distributed in the storage tank.

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Evaluation of residual stresses in a pipe-to-plate welded joint by means of uncoupled thermal-structural simulation and experimental tests

Cited by 25 publications

References 54 publications

Analyzing Welding Performance of Metal Using Artificial Neural Network

Analyzing Welding Performance of Metal Using Artificial Neural Network

Closed‐form solution for the Fatemi‐Socie extended critical plane parameter in case of linear elasticity and proportional loading

Characteristics of Welding Residual Stress Distribution in Dissimilar Weld Joints

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