Non Destructive Testing (NDT) 2024 - 2025
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01 - Investigation of offshore landslides impact on bucket foundations using a coupled SPH–FEM method
Authors: Zehao Wang, Defeng Zheng, Xingsen Guo, Zhongde Gu, Yueqiang Shen, & Tingkai Nian This study explains the impact of submarine landslides on underwater structures, focusing on bucket foundations. It introduces a fluid-structure coupling system using the coupled Smoothed Particle Hydrodynamics (SPH)-Finite Element Method (FEM) to analyze the displacement response of these foundations during landslide impacts. The research aims to provide a new numerical simulation approach and offers insights into underwater structures' dynamic response and failure mechanisms under extreme conditions.
10 - Evaluation of damage performance in offshore floating photovoltaics-based hydrogen production system due to potential hydrogen release
Authors: Hao Wang, Kan Wang, Xiaolei Liu, Yang Liu, Zhijia Qian, and Sheng Ding This study explains the development and analysis of an offshore floating photovoltaics (FPV)-based hydrogen production system. It addresses the challenges, particularly safety concerns, associated with hydrogen storage in such systems. It involves creating a numerical 3D model to investigate the characteristics of accidental damage and hydrogen release under different offshore wind conditions. It also explores the dynamic development of hydrogen dispersion and evaluates the evolution of thermal hazards and damage in the marine environment.
Authors: Oleg Gaidai, Yu Cao, Yan Zhu, Fuxi Zhang, and Hongchen Li A new reliability method suitable for multi-dimensional structural dynamics is introduced in this study, using the Gaidai multivariate method on an offshore Jacket platform in Bohai Bay. It estimates collapse risks under environmental stress, addressing challenges of high dimensionality and nonlinear correlations. This method is essential for offshore engineers during design to assess operational failure, damage, or hazards.
04 - Multivariate Risk Assessment for Offshore Jacket Platformsby Gaidai Reliability Method.
Authors: Jingzhou Xin, Guangjiong Tao, Qizhi Tang, Fei Zou, Chenglong Xiang This study proposes a new damage identification method using Swin Transformer and continuous wavelet transform (CWT). It converts structural vibration data into a time-frequency diagram to capture damage characteristics. The Swin Transformer extracts damage information from this diagram. The method's accuracy is analyzed with various sample lengths and noise levels, confirming its robustness. Laboratory tests show it recognizes damage with 99. 6% accuracy for single damage and 99. 0% for multiple damages.
07 - Structural damage identification method based on Swin Transformer and continuous wavelet transform.
Authors: Andrei Nazarov, Tatiana Yurasova, and Andrey Marshakov This review examines how different aqueous electrolytes impact hydrogen absorption and self-corrosion in magnesium anodes. It discusses historical and recent studies on mechanisms of self-corrosion and hydrogen evolution under specific effects. The focus is on magnesium hydride formation and oxidation during active dissolution and how anodic dissolution occurs through protective films in other conditions. It also looks at factors influencing hydride formation and self- corrosion.
14 - Hydrogen Absorption and Self-Corrosion of Mg Anode: Influence of Aqueous Electrolyte Species
Authors: Yuheng Chen, Haicheng Zhang, Weisheng Zou, Haihua Zhang, Bin Zhou, Daolin Xu This study proposes a new ROV-based deep-sea mining system to address slippage and sinking issues of traditional vehicles. A learning-based control strategy is introduced, utilizing a nonparametric learning method to improve path-tracking performance.
16 - Dynamic modeling and learning based path tracking control for ROV-based deep-sea mining vehicle.
Authors: Beate Oswald-Tranta Inductive thermography is a strong inspection method for finding defects in metals. The technique has improved over decades from lab tests to industry use. This paper reviews its theory and key technical aspects. While it can find various defects, the focus is on detecting surface cracks in metals, with examples of current industrial applications.
19 - Inductive thermography – review of a non-destructive inspection technique for surface crack detection
Authors: Mohammadebrahim Bajgholi, Gilles Rousseau, Denis Thibault, Simon Francoeur. This study evaluates advanced Non-Destructive Testing (NDT) techniques for detecting flaws in welded repairs of martensitic stainless steel plates, focusing on Francis turbine runners. Phased Array Ultrasonic Testing (PAUT), Total Focusing Method (TFM), and Eddy Current Array (ECA) technologies were examined to assess repair integrity and identify flaws such as lack of fusion (LOF). The findings highlight the necessity of integrating advanced NDT techniques to ensure the structural integrity of critical components, particularly in high-stress applications such as turbine runners.
23 - Advanced Non-Destructive Testing Techniques for Welded Joint Repairs: A Case Study on Improving Inspection Reliability and Structural Integrity Assessment
Authors: Luca Paterlini, Andrea Marinelli, Andrea Brenna and Marco Ormellese This document proposes a risk map to manage phenomena linked to the fact that carbon steel structures that transport hydrocarbons have systems to prevent corrosion, including cathodic protection and insulating coatings, and that electrical interference, both AC and DC, can cause corrosion even with protection applied.
24 - Protection Criteria of Cathodically Protected Pipelines Under AC Interference.
25 - Natural van der Waals canalization lens for non-destructive nanoelectronic circuit imaging and inspection
Authors: Qingdong Ou, Shuwen Xue, Weiliang Ma, Jiong Yang, Guangyuan Si , Lu Liu, Gang Zhong, Jingying Liu, Zongyuan Xie, Ying Xiao, Kourosh Kalantar-Zadeh, Xiang Qi, Peining Li, Zhigao Dai, Huanyang Chen, Qiaoliang Bao Optical inspection is important in semiconductor wafer manufacturing for analyzing surfaces and defects. Traditional methods struggle with resolution and detecting buried structures. The authors suggest a new approach using a van der Waals canalization lens from a- MoO 3 crystals, achieving 15 nm resolution for both surface and buried imaging. This method offers better imaging without the issues faced by other lenses, enabling high-resolution inspection of buried nanoscale circuits, crucial for future semiconductor manufacturing.
Authors: Andrzej Katunin, Krzysztof Dragan, Marko Nagode, Krzysztof Lis, Kamil Joszko, Adam Cholewa, Jernej Klemenc, Simon Oman, Paweł Zak, Piotr Synaszko Hidden corrosion, if not found quickly, can greatly impact the strength and safety of aircraft. Enhancing non-destructive testing (NDT) methods is crucial for safe aircraft operation. The D-Sight technique is commonly used for detecting this corrosion, valued in the aerospace industry for its fast and low-cost inspections. One of the drawbacks
26 - Towards quantification of hidden corrosion using D-Sight non destructive testing technique
Authors: Emmanuella Onyinye Nwulu, Tari Yvonne Elete, Friday Emmanuel Adikwu, and Fidelis Othuke Onyeke The durability of coatings is crucial for protecting infrastructure from damage. This study suggests a framework using advanced non-destructive testing (NDT) technologies for inspecting coating durability. It incorporates methods like ultrasonic testing and data analytics to find defects and predict lifespan. Case studies show this approach improves decision-making and saves costs. The framework promotes better inspection practices across different sectors for enhanced performance and sustainability.
20 - Advancing inspection techniques for coating durability: A framework for integrating non-destructive testing technologies.
Authors: Jun Ito, Yudai Igarashi, Ryota Odagiri, Shigetaka Suzuki, Hiroshi Wagatsuma, Kazuhiro Sugiyama, and Mikihiko Oogane The magnetic hammer test (MHT) is a nondestructive inspection method that uses a tunnel magnetoresistance (TMR) sensor to detect weak magnetic fields generated by natural pipe vibration. The method can accurately evaluate wall thickness with tens of microns and underwater with less than 100 µm accuracy. This noncontact, fast, and accurate method contributes to unmanned, manpower-saving nondestructive testing (NDT) in the future.
02 - Evaluation of Pipe Thickness by Magnetic Hammer Test with a Tunnel Magnetoresistive Sensor
Authors: Jianghai He This essay discusses the practical application of remote- operated underwater vehicles for inspecting dams and bridges, addressing safety issues like leakage, erosion, and cracks. It highlights the advantages of these vehicles compared to traditional divers, their operation in low- visibility water, stabilizing positions in turbulence, and overcoming cable entanglement issues. The paper also provides an outlook for their development in underwater detection and reinforcement to address future maintenance challenges.
03 - Introduction Remote-operated Underwater Vehicle for Inspection of Underwater Structure
Authors: Manuela Ammann Switzerland's hydropower plants are the primary source of renewable energy, accounting for 57% of electricity production. However, high maintenance costs and manual inspections are costly. A workflow for underwater photogrammetry using Remotely Operated Vehicles (ROV) has been developed, enabling accurate 3D reconstruction of underwater objects. The system provides sub-centimere accuracy at object distances.
05 - Robotic photogrammetric underwater inspection of hydropower plants
Author: Ayush Kumar Ojha This study explores the use of deep learning methods for processing and interpreting underwater images and videos. The suggested methods, utilizing convolutional neural networks and generative adversarial networks (GANs), improve image quality, identify marine species, and detect anomalies for infrastructure inspection. The findings highlight the transformative potential of artificial intelligence in overcoming the limitations of traditional underwater image processing techniques, paving the way for more effective and efficient underwater exploration and conservation efforts.
06 - Deep Learning Techniques for Enhanced Underwater Remote Sensing: Applications in Marine Biodiversity and Infrastructure Inspection
Authors: Yifan Tian, Alexander Grigorievich Palaev, Ildar Ayratovich Shammazov and Yiqiang Ren This study proposes a non-destructive testing technology for pipeline corrosion based on electromagnetic ultrasound technology to improve stability and safety in energy pipeline transportation systems. This technology uses empirical mode decomposition and singular spectrum analysis to denoise electromagnetic ultrasound signals, removing mild noise pollution and accurately detecting small area defects, thereby aiding in the regular maintenance of pipeline energy transmission systems.
08 - Non-destructive testing technology for corrosion wall thickness reduction defects in pipelines based on electromagnetic ultrasound
Authors: M. Mwelango, X. Yin, M. Zhao, Z. Zhang, Z. Han, R. Fan, P. Ma, X. Yuan, and W. Li This paper explores the use of coplanar capacitive sensors for underwater structural integrity assessment. It compares the performance of bare-electrode and insulated- electrode sensors, revealing that electrical conductivity significantly influences response. The study also highlights the feasibility of defect detection, characterisation, and imaging under water, highlighting the potential of underwater NDE techniques for inspecting structures and equipment in underwater environments. This research broadens underwater NDE knowledge.
09 - Feasibility Study on the Use of the Coplanar Capacitive Sensing Technique for Underwater Non-Destructive Evaluation
Authors: Siqiang Cheng, Yi Liu, Aibin Tang, Libin Yang This document introduces an underwater robot inspection anomaly localization feedback system, which uses real-time water surface tracking, detection, and positioning. The system is housed within the underwater robot, enabling the system to issue mechanical responses based on the water surface's tracking and positioning. The system uses sonar technology to monitor the underwater robot in real-time, triggering responsive actions upon anomalies. This system identifies abnormal conditions and informs personnel for intervention.
11 - An Underwater Robot Inspection Anomaly Localization Feedback System Based on Sonar Technology
Authors: Lutz Bretschneider, Sven Bollmann, Deborah Houssin- Agbomson, Jacob Shaw, Neil Howes, Linh Nguyen, Rod Robinson, Jon Helmore, Michael Lichtenstern, Javis Nwaboh, Andrea Pogany, Volker Ebert, and Astrid Lampert The application of drone technology to pipeline leak detection is examined in this article. It covers environmental conditions, appropriate commercial sensors, routine pipeline monitoring, and contemporary uses of natural gas pipeline surveys. Additionally, the study presents a feasibility assessment conducted during a release experiment, emphasizing the minute-by-minute change of wind direction. Requirements for future applications are also produced.
12 - Concepts for drone based pipeline leak detection
Authors: Ruben Rodríguez Elizalde This study presents a novel underwater drone model for examining submerged components of historic bridges. Three bridges spanning various rivers were inspected underwater as part of the study, which showed that underwater drones are safer than existing techniques and useful for this kind of assessment. Additionally, the drones enable the investigation of characteristics like pier or butment rotation or settlement that can forecast future foundation issues that will impact the entire bridge.
13 - Underwater Inspection of Submerged Elements in Masonry Bridges and Other Old Civil Structures Using Drones
Authors: Valery Bobkov and Alexey Kudryashov. The development of unmanned underwater vehicles (AUVs) is crucial for inspecting industrial subsea structures, but GPS is impractical due to underwater environment interferences. Optical image processing offers higher accuracy for AUV navigation. This study proposes a technology to recognize underwater objects and provide coordinate references to AUVs using stereo-image processing. It uses a non-standard technique to generate a geometric model of an object, uses characteristic geometric elements, and compares visual data with an a priori model.
15 - A Method for Recognition and Coordinate Reference of Autonomous Underwater Vehicles to Inspected Objects of Industrial Subsea Structures Using Stereo Images.
Authors: Seda Karadeniz Kartal, and Recep Fatih Cantekin This study emphasizes the importance of using unmanned underwater vehicles (UUVs) for pipeline monitoring based on an experiment with a remote- controlled UUV to detect pipeline damage. It mentions that the UUV autonomously tracked the pipeline and identified damages through camera images processed by a convolutional neural network (CNN), achieving high detection accuracy. It also mentions that the UUV followed the pipeline precisely, with minimal navigation errors.
17 - Autonomous Underwater Pipe Damage Detection Positioning and Pipe Line Tracking Experiment with Unmanned Underwater Vehicle
18 - Experimental Activity with a Rover for Underwater Inspection
Authors: Erika Ottaviano, Agnese Testa, Pierluigi Rea, Marco Saccucci, Assunta Pelliccio, and Maurizio Ruggiu This paper discusses the use of an underwater rover to implement automated imaging techniques for underwater structure inspections. The research aims to improve monitoring, reduce operational complexity, and offset the financial burden of periodic inspections. The research uses the FIFISH V6 rover with a Brave 7 camera and experimental photogrammetry tests of an anchor. The results confirm the validity of the proposed approach and encourage future development for underwater inspections.
Authors: Yomi Femi, Ademola Romke Smart pipeline monitoring systems, integrating advanced technologies like sensors and AI, offer continuous, proactive monitoring of pipeline systems. These systems enable early detection of potential issues, enhance operational efficiency, and minimize environmental risks. They reduce downtime and repair costs, improve safety, and offer predictive maintenance, transforming pipeline infrastructure management in a sustainable and cost- effective manner.
21 - Smart Pipeline Monitoring System: Revolutionizing Pipeline Management
Authors: Maxime Fauconnier, Bhuvaneshwari Karunakaran, Alex Drago-González, William S. Y. Wong, Robin H. A. Ras, & Heikki J. Nieminen This study introduces waves propagating on an underwater superhydrophobic surface, allowing for the stabilization of a microscale gas layer called a plastron. The acoustic radiation force triggers kHz "plastronic waves" with a high propagation speed of up to 45 times faster than conventional deep water capillary waves. These waves are useful for non-destructive monitoring of plastron stability and spontaneous air diffusion in gas- undersaturated or supersaturated water conditions.
22 - Fast capillary waves on an underwater superhydrophobic surface
Authors: Qian Liu, Bin Xu, Xinhai Zhu, Ronglin Chen, and Hanbin Ge This study validated an interface debonding defect detection and localization approach for scaled underwater grouting jacket connections (GJCs) using surface wave measurements with piezoelectric lead zirconate titanate (PZT) actuation and sensing technology. The approach was tested and showed that the mimicked interface debonding defect was successfully detected, and the region of debonding was determined by intersecting abnormal wave propagation paths, providing a novel non-destructive debonding defect detection method for offshore wind turbine structures.
27 - Experimental Study on Interface Debonding Defect Detection and Localization in Underwater Grouting Jacket Connections with Surface Wave Measurements
Authors: Xianfeng Zeng, Wenji Ai, Zongchao Liu, and Xianling Wang This paper introduces an unsupervised enhancement framework for restoring underwater images with structural cracks. It combines physical modeling of underwater light transmission with a deep image translation architecture. The approach includes a multi- scale feature integration module and region-focused discriminator. Validated on a real-world dataset, it shows substantial improvements in visual quality and crack boundaries preservation.
28 - Unsupervised Restoration of Underwater Structural Crack Images via Physics-Constrained Image Translation and Multi- Scale Feature Retention
Authors: Renan Favarão da Silva, Edilson Gabriel Veruz, Alécio Julio Silva, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza, Anderson Takehiro Oshiro This paper proposes a method for planning underwater inspections based on reliability and decision-making techniques. It identifies inspection needs, determines when to inspect, and selects the appropriate method. The method is demonstrated in a case study on a Brazilian FPSO platform, supporting maintenance planning and reliability.
29 - Underwater Inspection Planning Based on Reliability and Decision-Making techniques: An FPSO Platform Case Study.