On the Interaction to Thermal Cycle Curve and Numerous Theories of Failure Criteria for Weld-Induced Residual Stresses in AISI304 Steel using Element Birth and Death Technique

Meena, Pavan; Anant, Ramkishor

doi:10.1007/s11665-023-08125-8

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…The displacement load technology assumes that the surface along the collapse area has the same amount of subsidence and cannot truly simulate the distribution pattern of the displacement along the surface, which decreases from the center of the collapse to both sides. The unit life and death technology takes into account the dynamic evolution process of soil loss during the collapse process [32][33][34]. Since soil collapse is the result of the joint action of multiple factors and is concealed and sudden, in order to quickly and accurately predict the settlement displacement of buried pipelines, this paper constructs a settlement analysis of the dynamic evolution process of buried pipeline collapse based on the PSO-LSTM prediction model, which has higher prediction accuracy and a good prediction trend.…”

Section: Discussion On Soil Collapse Simulation Research Methodsmentioning

confidence: 99%

Buried Pipeline Collapse Dynamic Evolution Processes and Their Settlement Prediction Based on PSO-LSTM

Zhou,

Teng,

Chi

et al. 2023

Applied Sciences

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Based on the unit life and death technology, the dynamic evolution process of soil loss is considered, and a pipe-soil nonlinear coupling model of buried pipelines passing through the collapse area is constructed. The analysis shows that after the third layer of soil is lost, the existence of the “pipe-soil separation” phenomenon can be confirmed, which then supplements the assumption that “pipe-soil is always in contact” in the elastic foundation beam theory. Calculation of settlement deformation of buried pipelines It needs to be divided into two stages: cooperative deformation and non-cooperative deformation. Taking the settlement prediction of buried pipelines as the goal, the particle swarm algorithm (PSO) was used to optimize the number of neurons, Dropout, and Batch-size in the long short-term memory network (LSTM) structure. The optimization results were 60, 0.001, and 100, respectively. The PSO-LSTM model proposed in this article can accurately describe the dynamic evolution process of buried pipelines and has better prediction accuracy than the modified Gaussian curve method and LSTM neural network model. The use of this model can provide a reference for safety risk management, disaster early warning, and intelligent monitoring when buried pipelines suffer from soil collapse disasters.

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Section: Discussion On Soil Collapse Simulation Research Methodsmentioning

confidence: 99%

Buried Pipeline Collapse Dynamic Evolution Processes and Their Settlement Prediction Based on PSO-LSTM

Zhou,

Teng,

Chi

et al. 2023

Applied Sciences

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“…Before starting the thermal simulation, all 140 sets of elements were deactivated. Using the element birth and death method [33], sets of elements were added one after the other imitating the motion of the electrode during welding. Each reactivated set of elements was first added in a very short period of time (10 −7 s) and then subjected to heat flux for 1 s. After adding each individual set of elements and exposure to heat flux, the heat flux was turned off and the next set of elements was activated.…”

Section: Welding Numerical Simulationmentioning

confidence: 99%

Metal-Cored Arc Welding of I-Profile Structure: Numerical Calculation and Experimental Measurement of Residual Stresses

Perić,

Garašić,

Štefok

et al. 2023

Metals

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In this study, numerical and experimental research of residual stresses was carried out on an I-profile structure model and welded by using the Metal-cored Arc Welding (MCAW) technique. The numerical research was carried out by sequential simulation, using the birth and death element in the thermal analysis, while the same was omitted in the mechanical analysis in order to speed up the calculation process. The measurement of residual stresses was conducted on the outer surfaces of the model at a depth of 0.015 mm below the surface. It was determined that the longitudinal stresses in the weld and its immediate surroundings are tensile, while towards the ends of the model, they change to compressive. Transversal residual stresses exist mainly around the weld itself, and the immediate surroundings and decrease towards the ends of the model. A high agreement between the numerical and experimental results was found.

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Residual Stress Formation and Distortion in Austenitic AISI304 Steel Pipe Weldment with Consideration of Latent Heat using Novel Prescribed Weld Temperature

Meena,

Anant

2024

J. of Materi Eng and Perform

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On the Interaction to Thermal Cycle Curve and Numerous Theories of Failure Criteria for Weld-Induced Residual Stresses in AISI304 Steel using Element Birth and Death Technique

Cited by 4 publications

References 29 publications

Buried Pipeline Collapse Dynamic Evolution Processes and Their Settlement Prediction Based on PSO-LSTM

Buried Pipeline Collapse Dynamic Evolution Processes and Their Settlement Prediction Based on PSO-LSTM

Metal-Cored Arc Welding of I-Profile Structure: Numerical Calculation and Experimental Measurement of Residual Stresses

Residual Stress Formation and Distortion in Austenitic AISI304 Steel Pipe Weldment with Consideration of Latent Heat using Novel Prescribed Weld Temperature

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