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contributor authorSansusthy Tardio, Emmanuel
contributor authorEl Awad, Santiago
contributor authorChen, Tian
contributor authorBaxevanis, Theocharis
date accessioned2025-04-21T10:31:09Z
date available2025-04-21T10:31:09Z
date copyright12/12/2024 12:00:00 AM
date issued2024
identifier issn0021-8936
identifier otherjam_92_2_021001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306361
description abstractAn approach to infer mechanical properties of shape memory alloys (SMAs) from instrumented spherical indentation records of indenter tip loading force, P, versus the resultant indentation depth, h, during indentation loading and unloading is proposed. The approach is based on (i) a finite element (FE) model for describing the forward problem of determining the indentation response, i.e., the P−h curve, for a given set of SMA mechanical properties, (ii) a computationally efficient Gaussian process surrogate model to replace the costly FE one, and (iii) an iterative solution strategy, which approximates the unknown model parameters from an experimentally determined P−h record and their corresponding probability densities via a Bayesian inference framework and a Markov Chain Monte Carlo sampling strategy. The efficacy of the proposed approach is demonstrated using numerical experiments, i.e., indentation curves generated by evaluating the FE model at points in the parameter space.
publisherThe American Society of Mechanical Engineers (ASME)
titleExtraction of Mechanical Properties of Shape Memory Alloys From Instrumented Spherical Indentation
typeJournal Paper
journal volume92
journal issue2
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.4067206
journal fristpage21001-1
journal lastpage21001-11
page11
treeJournal of Applied Mechanics:;2024:;volume( 092 ):;issue: 002
contenttypeFulltext


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