Local stress variation in welded joints by ICR treatment

Yuanzhou, Zhiyuan; Ji, Bohai; Fu, Zhuojia; Ge, Hanbin

doi:10.1016/j.jcsr.2015.12.001

Cited by 19 publications

(1 citation statement)

References 14 publications

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“…During the process, repeated impacts are introduced near the edge of the crack surface, and contact across fracture surfaces ensued (Figure 1), resulting in the crack-closure effect. Numerous ongoing research studies have been addressed for the evaluation of the ICR technique by its original developers [10,11] and the current authors [12][13][14], indicating that the fatigue remaining life was extended by this crack-closure effect. Moreover, it provides an economical and environmentally friendly way to improve the load-carrying capacity or extend the service life of structurally deficient members with no, or less, damage.…”

Section: Introductionmentioning

confidence: 99%

Numerical Model of Plastic Deformation on Cracked Surface under Repeated Pneumatic Impact

Yuanzhou

Sun

et al. 2018

Advances in Materials Science and Engineering

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Crack-closure treatment through repeated impact is supposed to be an effective, economical way to extend the fatigue remaining life for fatigue-affected structures with less damage. The material plastic behavior under repeated impact between chisel and material bodies was investigated, for the purpose of describing the crack-closure effect. A numerical model was established associating the impact depth with the number of impact times and device parameters, which is also proved by experiments. The material properties, after repeated impact, was determined via metallographic analysis and microhardness tests, indicating that the material will be hardened within a small affected zone due to the grain refinement caused by repeated impact. The finite-element method was used, as a supplementary approach, to investigate the relationship between impact depth and horizontal deformation on the cracked surface. A one-to-one linear relation was obtained, even under the different chisel tip parameters. Therefore, the contact of fracture surface, i.e. crack closure, can be predicted with the help of this numerical model and the aforementioned relationship.

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Section: Introductionmentioning

confidence: 99%

Numerical Model of Plastic Deformation on Cracked Surface under Repeated Pneumatic Impact

Yuanzhou

Sun

et al. 2018

Advances in Materials Science and Engineering

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Enhanced Multi‐Objective Optimization Model for Bridge Performance Assessment and Prediction, Based on Improved PCA, K‐Means Clustering, and Kaplan–Meier Survival Algorithm

Gui,

Duan,

Huang

et al. 2024

Engineering Reports

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The research proposes a hybrid algorithm model that combines model‐driven and data‐driven approaches for the direct application of bridge health monitoring technology in bridge management. This comprehensive study encompasses a series of analytical techniques and methodologies to build a multi‐objective optimization model for bridge performance assessment and prediction. It focuses on the processing of multi‐source heterogeneous data, selection of key sub‐parameters using Principal Component Analysis (PCA), enhanced K‐means clustering analysis, determination of structural component target thresholds, time‐dependent survival probability analysis, regression fitting, and timing prediction of the bridge system for both the components of double‐layer truss arch bridge and the bridge system. The initial phase of the study concentrates on the diversification and decentralization of monitored data from various sources, integrating and cleaning data obtained from different sources to ensure data quality and consistency. PCA technique is applied to identify key sub‐parameters that have significant impacts on the performance of structural components. Enhanced K‐means clustering analysis is carried out to effectively group and classify the identified key sub‐parameters. Numerical simulations, including structural nonlinear analysis, are conducted to determine the target thresholds of bridge structure, providing important benchmarks for performance evaluation. Finally, a multi‐parameter regression model is used to evaluate and update the performance of the bridge structure, taking into account survival probability (using the Kaplan–Meier method), maintenance history, and material deterioration to estimate the most critical time for the bridge system. A case study is conducted to validate the suggested comprehensive algorithms for a double‐layer truss arch combination bridge, which contributes to enhancing performance evaluation and predicting the most critical time for structural components and bridge system in the bridge management and maintenance practices. It should not be ignored that, the accuracy and reasonability of bridge structure system performance evaluation and prediction depend largely on the selection of target thresholds.

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Effect of crack-closure treatment on fatigue durability of cracked rib-to-deck welded joints in steel bridge decks

Wang

et al. 2019

J. Cent. South Univ.

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Local stress variation in welded joints by ICR treatment

Cited by 19 publications

References 14 publications

Numerical Model of Plastic Deformation on Cracked Surface under Repeated Pneumatic Impact

Numerical Model of Plastic Deformation on Cracked Surface under Repeated Pneumatic Impact

Enhanced Multi‐Objective Optimization Model for Bridge Performance Assessment and Prediction, Based on Improved PCA, K‐Means Clustering, and Kaplan–Meier Survival Algorithm

Effect of crack-closure treatment on fatigue durability of cracked rib-to-deck welded joints in steel bridge decks

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