Next Article in Journal
Fault Diagnosis of Marine Diesel Engines under Partial Set and Cross Working Conditions Based on Transfer Learning
Next Article in Special Issue
Influence of Conventional Shot Peening Treatment on the Service Life Improvement of Bridge Steel Piles Subjected to Sea Wave Impact
Previous Article in Journal
Effect of Starting Conditions on the Internal Flow Field and Interior Ballistic Performance of an Underwater Ventilated Launch
Previous Article in Special Issue
Theoretical and Numerical Study of Eddy Current Pulsed Thermography to Detect Damage of Deep-Sea Manned Pressure Hull
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Failure Analysis of Marine Structure

by
Kazem Reza Kashyzadeh
1,* and
Mahmoud Chizari
2
1
Department of Transport, Academy of Engineering, RUDN University, 6 Miklukho-Maklaya Street, Moscow 117198, Russia
2
School of Engineering, Physics and Computer Sciences, University of Hertfordshire, Hatfield AL10 9EU, UK
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(8), 1526; https://doi.org/10.3390/jmse11081526
Submission received: 5 July 2023 / Accepted: 28 July 2023 / Published: 31 July 2023
(This article belongs to the Special Issue Failure Analysis of Marine Structure)
Welcome to the world of marine structures, as this fascinating compilation of cutting-edge research unfolds before your eyes. Prepare to dive deep into the fascinating realm of failure analysis, where mysteries are unraveled, and solutions emerge to repair and safeguard against future calamities [1]. This remarkable edition delves into a myriad of industrial conundrums, from awe-inspiring bridges that stand proud upon the water’s surface [2,3], to the intricate network of oil and gas transmission pipelines [4,5]. Brace yourself for the adrenaline-pumping exploration of vehicles hurtling through aquatic realms at breakneck speeds [6], as well as the enigmatic realm of offshore cables [7].
Inside, you will find an all-encompassing panorama that sheds light on the fascinating realms of offshore structure design and control. Discover the pivotal role played by fatigue [8,9], corrosion [4,5], sliding wear [10], cavitation [11], and crevice erosion—the formidable foes that constantly threaten the integrity of marine structures. Be amazed as laboratory results are revealed, complemented by the wonders of finite element simulations that bring these investigations to life.
But that is not all. Embrace the revolution brought about by the marriage of research and cutting-edge technology, and witness the power of machine learning techniques such as neural networks and deep learning being harnessed to unveil precise and astute analysis [4,9]. Brace yourself as these tools form an unbreakable bond, enabling accurate predictions of system behavior under varying stress conditions.
Prepare to embark on a captivating journey that will not only equip you with a wealth of knowledge spanning multiple industries related to the sea and ocean, but will also introduce you to a range of groundbreaking research techniques [12,13,14]. Let your curiosity guide you as you delve into this treasure trove of articles, each an illuminating piece of the intricate puzzle under discussion. Embrace the invitation that awaits you and let the captivating revelations within these pages leave you inspired and enlightened.

Funding

This publication has been supported by the RUDN University Strategic Academic Leadership Program.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Amiri, N.; Shaterabadi, M.; Reza Kashyzadeh, K.; Chizari, M. A Comprehensive Review on Design, Monitoring, and Failure in Fixed Offshore Platforms. J. Mar. Sci. Eng. 2021, 9, 1349. [Google Scholar] [CrossRef]
  2. Abdollahnia, H.; Alizadeh Elizei, M.H.; Reza Kashyzadeh, K. Multiaxial Fatigue Life Assessment of Integral Concrete Bridge with a Real-Scale and Complicated Geometry Due to the Simultaneous Effects of Temperature Variations and Sea Waves Clash. J. Mar. Sci. Eng. 2021, 9, 1433. [Google Scholar] [CrossRef]
  3. Abdollahnia, H.; Alizadeh Elizei, M.H.; Reza Kashyzadeh, K. Application of Probabilistic Approach to Investigate Influence of Details in Time History of Temperature Changes on the HCF Life of Integrated Bridge Steel Piles Installed on Water. J. Mar. Sci. Eng. 2022, 10, 1802. [Google Scholar] [CrossRef]
  4. Lo, M.; Karuppanan, S.; Ovinis, M. ANN- and FEA-Based Assessment Equation for a Corroded Pipeline with a Single Corrosion Defect. J. Mar. Sci. Eng. 2022, 10, 476. [Google Scholar] [CrossRef]
  5. Vijaya Kumar, S.D.; Lo, M.; Karuppanan, S.; Ovinis, M. Empirical Failure Pressure Prediction Equations for Pipelines with Longitudinal Interacting Corrosion Defects Based on Artificial Neural Network. J. Mar. Sci. Eng. 2022, 10, 764. [Google Scholar] [CrossRef]
  6. Liu, Z.; Shi, Y.; Pan, G.; Zhao, H. Numerical Study on Dynamic Characteristics of Vehicle Entering Water at High Speed. J. Mar. Sci. Eng. 2022, 10, 1387. [Google Scholar] [CrossRef]
  7. Xin, S.; Wang, Z.; Su, H.; Shang, L.; Meng, K.; Wang, X.; Zhou, Z.; Zhao, Z.; Zhang, P. Structural Prediction Analysis of Cross-Sea Cable-Stayed Bridges during Operation Based on Existing Traffic Volumes. J. Mar. Sci. Eng. 2022, 10, 1758. [Google Scholar] [CrossRef]
  8. Wang, P.; Wang, W.; Zheng, S.; Chen, B.; Gao, Z. Fatigue Damage Evaluation of Compressor Blade Based on Nonlinear Ultrasonic Nondestructive Testing. J. Mar. Sci. Eng. 2021, 9, 1358. [Google Scholar] [CrossRef]
  9. Maleki, E.; Unal, O.; Seyedi Sahebari, S.M.; Reza Kashyzadeh, K.; Danilov, I. Application of Deep Neural Network to Predict the High-Cycle Fatigue Life of AISI 1045 Steel Coated by Industrial Coatings. J. Mar. Sci. Eng. 2022, 10, 128. [Google Scholar] [CrossRef]
  10. Liu, T.; Yu, J.; Wang, H.; Yu, Y.; Li, H.; Zhou, B. Modified Method for Determination of Wear Coefficient of Reciprocating Sliding Wear and Experimental Comparative Study. J. Mar. Sci. Eng. 2022, 10, 1014. [Google Scholar] [CrossRef]
  11. Lin, J.; Hong, S.; Zheng, Y.; Sun, W.; Zhang, Z.; Kang, M.; Fu, X. Cavitation–Silt Erosion Behavior and Failure Mechanism of an HVOF-Sprayed WC-Cr3C2-Ni Coating for Offshore Hydraulic Machinery. J. Mar. Sci. Eng. 2022, 10, 1341. [Google Scholar] [CrossRef]
  12. Ahmed, S.; Rahman, R.A.U.; Awan, A.; Ahmad, S.; Akram, W.; Amjad, M.; Yahya, M.Y.; Rahimian Koloor, S.S. Optimization of Process Parameters in Friction Stir Welding of Aluminum 5451 in Marine Applications. J. Mar. Sci. Eng. 2022, 10, 1539. [Google Scholar] [CrossRef]
  13. Wang, Y.; Dong, H.; Dong, T.; Xu, X. Dumbbell-Shaped Damage Effect of Closed Cylindrical Shell Subjected to Far-Field Side-On Underwater Explosion Shock Wave. J. Mar. Sci. Eng. 2022, 10, 1874. [Google Scholar] [CrossRef]
  14. Kumar, S.; Singh, I.; Kumar, D.; Yahya, M.Y.; Rahimian Koloor, S.S. Mechanical and Morphological Characterizations of Laminated Object Manufactured 3D Printed Biodegradable Poly(lactic)acid with Various Physical Configurations. J. Mar. Sci. Eng. 2022, 10, 1954. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kashyzadeh, K.R.; Chizari, M. Failure Analysis of Marine Structure. J. Mar. Sci. Eng. 2023, 11, 1526. https://doi.org/10.3390/jmse11081526

AMA Style

Kashyzadeh KR, Chizari M. Failure Analysis of Marine Structure. Journal of Marine Science and Engineering. 2023; 11(8):1526. https://doi.org/10.3390/jmse11081526

Chicago/Turabian Style

Kashyzadeh, Kazem Reza, and Mahmoud Chizari. 2023. "Failure Analysis of Marine Structure" Journal of Marine Science and Engineering 11, no. 8: 1526. https://doi.org/10.3390/jmse11081526

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop