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RESEARCH PAPER
Enhancing Demolition Works Safety: Integrating Numerical and Experimental Methods for Structural Failure Prevention in Remote-Controlled Demolition Robots.
 
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Department of Machine Design and Testing, Wroclaw University of Technology, Poland
 
 
Submission date: 2024-01-22
 
 
Final revision date: 2024-04-19
 
 
Acceptance date: 2024-06-25
 
 
Online publication date: 2024-07-13
 
 
Publication date: 2024-07-13
 
 
Corresponding author
Jakub Andruszko   

Department of Machine Design and Testing, Wroclaw University of Technology, Ignacego Lukasiewicza 7/9, 50-371, Wroclaw, Poland
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(4):190466
 
HIGHLIGHTS
  • Method from FEM and test data proposed to avert machine structural failure.
  • The actual dynamic loads and the counting of load cycles problem solved.
  • The FEM model with test data outperforms classical methods in fatigue assessment.
  • The proposed method allows to prevent uncontrolled damage to the machine structure
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ABSTRACT
The paper presents an approach that combines numerical and experimental techniques to evaluate the possibility of failure prevention of the structure of demolition robots. Based on a real example of the machine, the possibility of application and development of the author's method was presented. The main problem when designing this type of machine is the negligible knowledge of how dynamic loads act during operation and how many times they appear. Underestimating the loads and their cycles when designing these types of machines can cause them to become damaged quickly. The method presented in the article allows to solve the problem of determining the key parameters needed in the evaluation of this type of construction such as loads, but also allows to determine the number of load cycles, which is particularly important for fatigue. The result presented in the article is an authors’ method that allows determining the fatigue of the structure of a demolition machine by combining numerical and experimental techniques.
eISSN:2956-3860
ISSN:1507-2711
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