Mechanistic Determination of In Situ Toughness of Bone Using a Nanoscratch Methodology

Author(s):  
Xiaodu Wang

Hierarchical structures at multiple length scales are characteristic in a class of natural (e.g., bone) and synthetic (e.g., nano-composites) materials that are quasi-brittle in nature but allow for appreciable plastic deformation (1, 2). Since the bulk mechanical properties of the materials are heavily dependent on their nano/microscopic structures, micro/nano mechanics approaches are often required to study their behaviors. However, lack of an effective means to exemplify the post-yield and failure behavior directly at micro/nanometer scales has significantly precluded understanding the constitutive relationship of these materials. A compelling example is that such paucity has significantly hindered establishment of physically sound constitutive relationships for bone tissues. Recent progresses in nanotechnology have allowed for estimation of the stiffness and hardness of bone tissues at submicron and nano length scales (3–5). However, no methods are currently available to assess the post-yield and failure behavior of bone tissues at nano/microscopic levels. Our pilot study (6) has shown that nanoscratch tests could be used in assessing the in situ energy dissipation during the post-yield deformation of bone tissues. To this end, the objective of the present study is to establish a mechanistic model for the nanoscratch methodology based on a assumption that the in situ toughness of bone tissues or the capacity to dissipate energy until failure can be estimated based on the removal energy of the tissue consumed during a nanoscratch test.

2018 ◽  
Vol 24 (S1) ◽  
pp. 1010-1011
Author(s):  
Will Harris ◽  
Hrishikesh Bale ◽  
Steve Kelly ◽  
Benjamin Hornberger

2019 ◽  
Vol 116 (8) ◽  
pp. 2875-2880 ◽  
Author(s):  
Jonathan A. Michel ◽  
Peter J. Yunker

Structural hierarchy, in which materials possess distinct features on multiple length scales, is ubiquitous in nature. Diverse biological materials, such as bone, cellulose, and muscle, have as many as 10 hierarchical levels. Structural hierarchy confers many mechanical advantages, including improved toughness and economy of material. However, it also presents a problem: Each hierarchical level adds a new source of assembly errors and substantially increases the information required for proper assembly. This seems to conflict with the prevalence of naturally occurring hierarchical structures, suggesting that a common mechanical source of hierarchical robustness may exist. However, our ability to identify such a unifying phenomenon is limited by the lack of a general mechanical framework for structures exhibiting organization on disparate length scales. Here, we use simulations to substantiate a generalized model for the tensile stiffness of hierarchical filamentous networks with a nested, dilute triangular lattice structure. Following seminal work by Maxwell and others on criteria for stiff frames, we extend the concept of connectivity in network mechanics and find a similar dependence of material stiffness upon each hierarchical level. Using this model, we find that stiffness becomes less sensitive to errors in assembly with additional levels of hierarchy; although surprising, we show that this result is analytically predictable from first principles and thus potentially model independent. More broadly, this work helps account for the success of hierarchical, filamentous materials in biology and materials design and offers a heuristic for ensuring that desired material properties are achieved within the required tolerance.


Nanoscale ◽  
2015 ◽  
Vol 7 (7) ◽  
pp. 3022-3027 ◽  
Author(s):  
Evgheni Strelcov ◽  
Joshua Cothren ◽  
Donovan Leonard ◽  
Albina Y. Borisevich ◽  
Andrei Kolmakov

Progress in rational engineering of Li-ion batteries requires better understanding of the electrochemical processes and accompanying transformations in the electrode materials on multiple length scales.


2010 ◽  
Vol 42 (1) ◽  
pp. 100-110 ◽  
Author(s):  
C. J. Bettles ◽  
P. A. Lynch ◽  
A. W. Stevenson ◽  
D. Tomus ◽  
M. A. Gibson ◽  
...  

Joule ◽  
2020 ◽  
Author(s):  
Wenzao Li ◽  
Diana M. Lutz ◽  
Lei Wang ◽  
Kenneth J. Takeuchi ◽  
Amy C. Marschilok ◽  
...  

2021 ◽  
Vol MA2021-01 (8) ◽  
pp. 2097-2097
Author(s):  
Wenzao Li ◽  
Diana Lutz ◽  
Lei Wang ◽  
Kenneth J. Takeuchi ◽  
Amy C. Marschilok ◽  
...  

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