Article, 2024

Welded joints stiffness and damping characterisation based on model updating and texture analysis

Mechanical Systems and Signal Processing, ISSN 1096-1216, 0888-3270, Volume 220, Page 111684, 10.1016/j.ymssp.2024.111684

Contributors

Shrivastava, Kshitij 0000-0002-1915-4822 [1] Vijayan, Kiran 0000-0002-3015-9667 (Corresponding author) [1] Gupta, Saumya [1] Mahato, Arjun [1] Roy, Shibayan 0000-0002-4496-9193 [1] Arora, Vikas 0000-0002-4369-7851 [2]

Affiliations

  1. [1] Indian Institute of Technology Kharagpur
  2. [NORA names: India; Asia, South];
  3. [2] University of Southern Denmark
  4. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Welded structures are integral to complex bodies such as ships and offshore rigs. Welded joints are frequently used in connecting various plates and substructures, making their assessment pivotal. The numerical model used here consists of plates coupled using springs and dashpots. The coupling models the welded joint and exemplifies the uncertainties in the welding process. The joint identification algorithm systematically defines the coupling in two steps: first, by updating the model for spring stiffness and later, by identifying the dashpot coefficients. The dynamic characteristic is determined using a frequency response function (FRF). After model updating and damping identification, a comparison between the updated FRF and that obtained from the experimental modal test is carried out to ascertain the efficiency of the algorithm. Further, the test structure is subjected to experimental testing to correlate the results from the model updating with material properties. The experimental study includes tensile testing of the weld joints and microstructural analysis. The characterisation is carried out by partitioning the welded joint. The joint stiffness and damping are correlated to the stress–strain response and crystallographic texture of the welded plate.

Keywords

algorithm, analysis, assessment, body, characterisation, characteristics, coefficient, comparison, complex body, coupling, coupling model, crystallographic texture, damping identification, dashpot, dashpot coefficient, dynamic characteristics, efficiency, experimental modal testing, experimental study, experimental tests, frequency, frequency response functions, function, identification, identification algorithm, joint stiffness, joints, material properties, materials, microstructural analysis, modal testing, model, numerical model, offshore rigs, plate, process, properties, response, response function, results, rig, ship, spring, spring stiffness, stiffness, stress-strain response, structure, study, substructure, tensile, tensile tests, test, test structures, texture, texture analysis, uncertainty, welded joints, welded plates, welded structures, welding, welding process

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