Online monitoring of fatigue damage in welded joints using diffuse ultrasound.

Ultrasonics

School of Civil Engineering, Tianjin University, 135 Yaguan Rd., Tianjin 300350, China; Key Laboratory of Coast Civil Structures Safety of Ministry of Education, 135 Yaguan Rd., Tianjin 300350, China; Key Laboratory of Earthquake Engineering Simulation and Seismic Resilience of China Earthquake Administration, 135 Yaguan Rd., Tianjin 300350, China.

Published: March 2024

Fatigue damage is a common cause of failure in welded structures, and it is often difficult to detect it in the early stage. While ultrasonic-based methods can effectively monitor crack propagation, it remains a significant challenge to indicate the initiation of cracks. In this study, a novel method is proposed to monitor the diffuse ultrasonic field affected by ratcheting strain and microcracks formed in welded joints during fatigue degradation. The energy density in the diffuse ultrasonic signal is computed and correlated with different fatigue cycles, allowing for online monitoring of fatigue damage in welded joints. Six butt and cross-welded joints were studied under different fatigue conditions, and digital image correlation (DIC) technology was used for comparison throughout the fatigue tests. The results indicate that the correlation coefficient of the energy density in diffuse ultrasound exhibits a significant decreasing trend when crack initiation occurs, providing a unique signal to indicate crack initiation in welded joints. This signal may appear earlier than that from ratcheting strain monitored by DIC due to ultrasound's sensitivity to internal damages.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ultras.2023.107191DOI Listing

Publication Analysis

Top Keywords

welded joints
16
fatigue damage
12
online monitoring
8
monitoring fatigue
8
damage welded
8
diffuse ultrasound
8
diffuse ultrasonic
8
ratcheting strain
8
energy density
8
density diffuse
8

Similar Publications

Today, composite profiles of constant cross section are widely used in advanced engineering structures. The use of composite profiles in window and door structures can reduce thermal bridging and reduce energy consumption for heating and cooling. This article focuses on the production of new, thermoplastic-based structural pultruded profiles and their application in a PVC (polyvinylchloride) window structure as a reinforcement.

View Article and Find Full Text PDF

Introduction: Many interventional strategies are commonly used to treat chronic low back pain (CLBP), though few are specifically intended to target the distinct underlying pathomechanisms causing low back pain. Restorative neurostimulation has been suggested as a specific treatment for mechanical CLBP resulting from multifidus dysfunction. In this randomized controlled trial, we report outcomes from a cohort of patients with CLBP associated with multifidus dysfunction treated with restorative neurostimulation compared to those randomized to a control group receiving optimal medical management (OMM) over 1 year.

View Article and Find Full Text PDF

The complementary properties of corrosion resistance and ballistic resistance of AA5083 and AA7075, respectively, explain the significance of welding these two alloys in the marine armor industry. This study investigates a novel Al-SiC matrix reinforcement with a different SiC weight ratio in dissimilar friction stir welding of the AA5083/AA7075 joint at different transverse and rotational speeds. The study deduced that the novel matrix can play an important role in improving strength and ductility simultaneously.

View Article and Find Full Text PDF

TC17 titanium alloy is widely used in the aviation industry for dual-performance blades, and linear friction welding (LFW) is a key technology for its manufacturing and repair. However, accurate evaluation of the mechanical properties of TC17-LFW joints and research on their joint fracture behavior are still not clear. Therefore, this paper used the finite element numerical simulation method (FEM) to investigate the mechanical behavior of the TC17-LFW joint with a complex micro-structure during the tensile processing, and predicted its mechanical properties and fracture behavior.

View Article and Find Full Text PDF

Design, Development, and Testing of Machine Learning Models to Estimate Properties of Friction Stir Welded Joints.

Materials (Basel)

December 2024

Department of Mechanical Engineering Technology, College of Applied Industrial Technology, Jazan University, Jazan 45142, Saudi Arabia.

This paper estimates friction stir welded joints' ultimate tensile strength (UTS) and hardness using six supervised machine learning models (viz., linear regression, support vector regression, decision tree regression, random forest regression, K-nearest neighbour, and artificial neural network). Tool traverse speed, tool rotational speed, pin diameter, shoulder diameter, tool offset, and tool tilt are the six input parameters in the 200 datasets for training and testing the models.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!