Revised Guidance on Residual Stresses in BS7910

Sharples, John; Gill, Peter; Wei, Liwu; Bate, S. K.

doi:10.1115/pvp2011-57071

Cited by 7 publications

(3 citation statements)

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“…For a given pipe girth weld with a wall thickness , the residual stress profile can be decomposed into three components: the membrane , bending component , and self-balancing component , which is expressed as [7]:…”

Section: Parametric Function Formmentioning

confidence: 99%

Residual Stress Profiles of Pipe Girth Weld Using a Stress Decomposition Method

Teng

Bate

2014

Volume 6B: Materials and Fabrication

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The application of procedures such as R6 or BS7910 for the structural assessment of defects in pressurised components containing residual stresses requires knowledge of the throughwall residual stress profile. Currently there is much interest in improving the residual stress profiles that are provided in the procedures. In this paper we present an improved analysis of residual stresses of the pipe girth welds by applying the developed heuristic method to one set of extended residual stress measurement data. The through-thickness residual stress is decomposed into three stress components: membrane, bending and self-equilibrating. The heuristic method was applied to the three components separately, so that the residual stress profile was a combination of the three stress components. This form provides not only a clear physical basis for the residual stress profile, but is also convenient for defect assessment where only the membrane and bending stress components are important.

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Section: Parametric Function Formmentioning

confidence: 99%

Residual Stress Profiles of Pipe Girth Weld Using a Stress Decomposition Method

Teng

Bate

2014

Volume 6B: Materials and Fabrication

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“…The determination of the welding residual stress is of high importance for the structural integrity assessment. The magnitude and distribution of welding residual stress vary from different welded joint types (Sharples et al., 2011), welding parameters (Mirzaee‐Sisan & Wu, 2019), welding passes, welding sequence, material, and geometry of the welded joint (Wang & Qian, 2022). Inspired by the applications in reinforced concrete (Bazrafshan et al., 2023), bridge damage (Corbally & Malekjafarian, 2023), seismic retrofit (Gentile et al., 2022), rail joint (Cong et al., 2023), and welded joints (Adeli & Fiedorek, 1986a, 1986b; Cheok et al., 2024; Feng & Qian, 2022, 2023), a data‐driven computer‐aided computational framework is essential to determine the welding residual stresses in different welded connections (Pezeshki et al., 2023).…”

Section: Introductionmentioning

confidence: 99%

Optimization‐improved thermal–mechanical simulation of welding residual stresses in welded connections

Wang,

Qian

2024

Computer aided Civil Eng

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This paper presents a novel computer‐aided computational framework to determine the optimum shape parameters in a welding heat source model using a coupled supervised Gaussian process regression (GPR) and genetic algorithm (GA) approach in estimating the welding residual stresses. The experimental X‐ray diffraction (XRD) approach validates the optimization‐improved thermal–mechanical simulation method. The validation of the proposed approach includes the welded plates with simple geometry to welded pipe‐to‐plate and the circular hollow section joints with complex topologies. The optimization‐derived shape parameters in a welding heat source model lead to close estimates of the temperature history and the welding residual stresses for these types of welded joints considered in this study.

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“…Accurate evaluation of the development and distribution of residual lattice strain (and the associated quantification of residual stress) is a key consideration in structural integrity assessment procedures, such as R6 [1] and BS7910 [2,3]. Experimental measurement of lattice strain is typically achieved through either X-ray or neutron diffraction and the associated determination of Bragg diffraction peak locations, with these measurements routinely being made at large scale synchrotron X-ray or neutron facilities.…”

Section: Introductionmentioning

confidence: 99%

Influence of Microstructure on Synchrotron X-ray Diffraction Lattice Strain Measurement Uncertainty

Simpson¹,

Knowles

Mostafavi

2021

Metals

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Accurate residual lattice strain measurements are highly dependent upon the precision of the diffraction peak location and the underlying microstructure suitability. The suitability of the microstructure is related to the requirement for valid powder diffraction sampling statistics and the associated number of appropriately orientated illuminated. In this work, these two sources of uncertainty are separated, and a method given for both the quantification of errors associated with insufficient grain sampling statistics and minimization of the total lattice strain measurement uncertainty. It is possible to reduce the total lattice strain measurement uncertainty by leveraging diffraction peak measurements made at multiple azimuthal angles. Lattice strain measurement data acquired during eight synchrotron X-ray diffraction experiments, monochromatic and energy dispersive, has been assessed as per this approach, with microstructural suitability being seen to dominate total measurement uncertainty when the number of illuminated grains was <106. More than half of the studied experimental data fell into this category, with a severe underestimation of total strain measurement uncertainty being possible when microstructural suitability is not considered. To achieve a strain measurement uncertainty under 10−4, approximately 3×105 grains must be within the sampled gauge volume, with this value varying with the multiplicity of the family of lattice planes under study. Where additional azimuthally arrayed data are available an in-plane lattice strain tensor can be extracted. This improves overall strain measurement accuracy and an uncertainty under 10−4 can then be achieved with just 4×104 grains.

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Revised Guidance on Residual Stresses in BS7910

Cited by 7 publications

References 0 publications

Residual Stress Profiles of Pipe Girth Weld Using a Stress Decomposition Method

Residual Stress Profiles of Pipe Girth Weld Using a Stress Decomposition Method

Optimization‐improved thermal–mechanical simulation of welding residual stresses in welded connections

Influence of Microstructure on Synchrotron X-ray Diffraction Lattice Strain Measurement Uncertainty

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