Development of a Machine Learning based model for Damage Detection, Localization and Quantification to extend Structure Life-Reference-Cited by-同舟云学术

Development of a Machine Learning based model for Damage Detection, Localization and Quantification to extend Structure Life

Published:2021 Issue: Volume:98 Page:199-204
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Dhiraj ,Agarwal Akshit,Agrawal Aviral,Meruane Viviana,Sangwan K.S.

Publisher

Elsevier BV

Subject

General Medicine

Reference24 articles.

1. Dwivedi, Sandeep & Vishwakarma, Manish & Soni, Akhilesh. (2018). Advances and Researches on Non Destructive Testing: A Review. Materials Today: Proceedings. 5. 3690-3698.

2. Life Cycle Engineering. In: The International Academy for Production Engineering;Jeswiet,2014

3. Infrastructure failure interdependencies in extreme events: power outage consequences in the 1998 Ice Storm;Chang;Nat Hazards,2007

4. “Risk assessment of highway bridges under multiple hazards.”;Decò;Journal of Risk Research,2011

5. “Computational procedure for the assisted multi-phase resilience-oriented disaster management of transportation systems.”;Bocchini;Safety, Reliability, Risk, and Life-Cycle Performance of Structures and Infrastructures,2013

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Frequency data driven damage detection of polymeric composite structural health using machine learning models;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2024-08-23

2. Crack detection and localization in composite plates by intersection of first three normalized mode shape curves from experimental modal analysis;World Journal of Engineering;2024-07-19

3. A Method of Detecting Sensitive Information of Enterprise Asset Training Education Based on Machine Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. Research on steel structure damage detection based on TCD-CNN method;Structures;2023-11

5. From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods;Engineering Research Express;2023-08-23