Sasmita Sahu

Associate Professor

Dr. Sasmita Sahu has done B.Tech from VSSUT, M.Tech and Ph. D. from NIT Rourkela.

Profile Links

Email :
[email protected]
Scopus Id :
57211064457
Google Scholar :
https://scholar.google.co.in/citations?view_op=list_works&hl=en&user=95n0i28AAAAJ

Social Links

Educational Qualification
Doctorate in Machine Design

Research Interests
  • Artificial Intelligence, Structural Damage Detection, Vibration Engineering, Machine Design
  • Damage detection in structural and machine members, soft computing methods


Projects
SERB (Under Evaluation)

Outreach Activity
"1.Title of the invention: Design And Development Of Underground Pipe Installation And Restoration Technique Application No.202231039764 A Date of filing of Application :11/07/2022 Publication Date : 29/07/2022 2.Title of the invention: Powder Manufacturing unit Application No.368069-001 3.Title of the invention: Precision Drone Agriculture Farming Using Artificial Intelligence (Ai) Techniques Application No.202331003879 A "
Journals/Conferences :
1. Ashwini, K., Sahu, S., Nayak, B. B., & Roy, S. (2023). Damage detection in structural elements: using adaptive Mamdani model. In E3S Web of Conferences (Vol. 391, p. 01165). EDP Sciences.
2. Nayak, B. B., Kundu, S., Sahu, S., Roy, S., & Das, S. S. (2023). Support Vector Regression approach for prediction of delamination at entry and exit during drilling of GFRP Composites. In E3S Web of Conferences (Vol. 391, p. 01162). EDP Sciences.
3. Sahu, S., & Nayak, B. B. (2020). An adaptive genetic algorithm method for damage detection in structural elements. Materials Today: Proceedings, 26, 581-585.
4. Sahu, S., & Jena, S. P. (2023). Application of Hybrid Fuzzy Technique for Damage Estimation in Structural Member. JJMIE, 17(2).
5. Satapathy, S., Jena, H., & Sahu, S. (2023). Sustainability and Safety Challenges in Mining Transportation by Railway in India. In Transportation Systems Technology and Integrated Management (pp. 287-302). Singapore: Springer Nature Singapore.
6. Jena, H., Satpathy, S., Sahoo, S., Sahu, S., & Nayak, B. B. (2023). Corrosion Protection Practices and Integrity Management Challenges in Oil and Gas Pipeline. In Transportation Systems Technology and Integrated Management (pp. 141-162). Singapore: Springer Nature Singapore.
7. Das, M., Sahu, S., & Parhi, D. R. (2022). Crack Detection in a Cantilever Composite Beam Using Fuzzy Logic System with Regression Analysis. In Recent Trends in Product Design and Intelligent Manufacturing Systems: Select Proceedings of IPDIMS 2021 (pp. 861-873). Singapore: Springer Nature Singapore.
8. Roy, S., Nayak, B. B., & Sahu, S. (2022). Investigation on the Microstructure–Corrosion Correlation of Commercially Available AISI 1020 and 304 Steel. In Recent Advances in Materials Processing and Characterization: Select Proceedings of ICMPC 2021 (pp. 175-182). Singapore: Springer Nature Singapore.
9. Sahu, S., & JENA, S. (2022). Investigation of Crack in Beam Structure using an Adaptive-Genetic Algorithm (AGA). U. Porto Journal of Engineering, 8(6), 121-131.
10. Das, S. S., Nayak, B. B., Behera, D. D., Sahu, R. K., Sahu, S., & Giri, S. R. (2022, October). Sustainable Energy Business Model and Strategies for Marketing of Clean Energy Products in Rural Areas of India. In IOP Conference Series: Earth and Environmental Science (Vol. 1084, No. 1, p. 012001). IOP Publishing.
11. Das, M., Sahu, S., & Parhi, D. R. (2021). Composite materials and their damage detection using AI techniques for aerospace application: A brief review. Materials Today: Proceedings, 44, 955-960.
12. Roy, S., Baruah, M. S., Sahu, S., & Nayak, B. B. (2021). Computational analysis on the thermal and mechanical properties of thin film solar cells. Materials Today: Proceedings, 44, 1207-1213.
13. Sahu, S., Nayak, B. B., Deka, H., Roy, S., & Jena, H. (2021). Multi-objective optimization of WEDM taper cutting process using MOPSO based on crowding distance. Materials Today: Proceedings, 44, 737-743.
14. Nayak, B. B., Sahu, S., & Roy, S. (2021). Damage detection in structural elements: Using optimization of fuzzified rules. Materials Today: Proceedings, 44, 797-800.
15. Jena, S. P., & Sahu, S. CRACK DETECTION IN STRUCTURE BY IMPROVED RECURRENT NEURAL NETWORKS APPROACH OTKRIVANJE PRSLINE U KONSTRUKCIJI POBOLJŠANIM PRISTUPOM REKURENTNIH NEURONSKIH MREŽA.
16. Nayak, B. B., Sahu, S., & Das, D. (2020). Investigation on machining performance of boron carbide reinforced aluminium matrix composite during WEDM taper cutting process. Materials Today: Proceedings, 26, 932-936.
17. Sahu, S., Parhi, D. R., & Nayak, B. B. (2020). An Evolutionary Algorithm-Based Damage Detection in Structural Elements. In Innovative Product Design and Intelligent Manufacturing Systems: Select Proceedings of ICIPDIMS 2019 (pp. 487-498). Springer Singapore.
18. Sahu, S., & Nayak, B. B. (2020). An adaptive genetic algorithm method for damage detection in structural elements. Materials Today: Proceedings, 26, 581-585.
19. Sahu, S., Kumar, P. B., & Parhi, D. R. (2019). Analysis of hybrid CSA-DEA method for fault detection of cracked structures. Journal of Theoretical and Applied Mechanics, 57(2), 369-382.
20. Parhi, D. R., & Sahu, S. (2018). Clonal fuzzy intelligent system for fault diagnosis of cracked beam. International Journal of Damage Mechanics, 27(6), 840-858.
Rest Publications
21. Sahu, S., Kumar, P. B., & Parhi, D. R. (2018). A hybridised CSAGA method for damage detection in structural elements. Mechanics & Industry, 19(4), 407.
22. Sahu, S., Kumar, P. B., & Parhi, D. R. (2017). Design and development of 3-stage determination of damage location using Mamdani-adaptive genetic-Sugeno model. Journal of Theoretical and Applied Mechanics, 55(4), 1325-1339.
23. Sahu, S., Kumar, P. B., & Parhi, D. R. (2017). Intelligent hybrid fuzzy logic system for damage detection of beam-like structural elements. Journal of Theoretical and Applied Mechanics, 55(2), 509-521.
24. Sahu, S., & Parhi, D. R. (2017). Performance comparison of genetic algorithm and differential evolution algorithm in the field of damage detection in cracked structures. Journal of Vibration Engineering & Technologies, 5(1), 61-71.
25. Sahu, S., & Parhi, D. R. (2014, May). Automatic design of fuzzy MF using Genetic Algorithm for fault detection in structural elements. In 2014 Students Conference on Engineering and Systems (pp. 1-5). IEEE.
26. Ranjan, K. B., Sahu, S., & Parhi Dayal, R. (2014). A new reactive hybrid membership function in fuzzy approach for identification of inclined edge crack in cantilever beam using vibration signatures. Applied mechanics and materials, 592, 1996-2000.
27. Sahu, S., & Parhi, D. R. (2014). Automatic design of fuzzy rules using GA for fault detection in cracked structures. Applied mechanics and materials, 592, 2016-2020.
28. Choudhury, S., Sahu, S., & Parhi, D. R. (2011, July). Vibration analysis of cracked beam using genetic controller. In 2011 International Conference on Process Automation, Control and Computing (pp. 1-4). IEEE.
29. Parhi D.R., Sahu S., Review of Genetic-Fuzzy Methods used for handling the Uncertainities in Fault Detection, IJAAIES,4(2), 2012, pp. 75-81.
30. Choudhury, S., Sahu S., Parhi D.R. Vibration Analysis of Cracked Beam using Genetic Controller, Process Automation, Control and Computing (PACC)(IEEE), 2011, pp.1-4
31. Parhi D.R., Sahu S., Review of methodologies used for fault detection using smart techniques, International Journal of Applied Artificial Intelligence in Engineering System, 2(2), 2010, pp.161-166.


Conferences:

1. Sasmita Sahu, Dayal R Parhi, An immune based evolutionary algorithm for damage detection in structural elements, ICOVP-2017.
2. Sahu, Sasmita, And B. B. Nayak. An Adaptive Genetic Algorithm Method For Damage Detection In Structural Elements, ICMPC 2020
3. Sahu, Sasmita, D. R. Parhi, And B. B. Nayak. An Evolutionary Algorithm-Based Damage Detection In Structural Elements, IPDIMS 2019.

Patents

1.Title of the invention: Design And Development Of Underground Pipe Installation And Restoration Technique
Application No.202231039764 A
Date of filing of Application :11/07/2022
Publication Date : 29/07/2022
2.Title of the invention: Powder Manufacturing unit
Application No.368069-001
3.Title of the invention: Precision Drone Agriculture Farming Using Artificial Intelligence (Ai) Techniques
Application No.202331003879 A