Back

Modelling rate-independent damping in insect exoskeleta via singular integral operators

Pons, A.

2024-10-23 physiology
10.1101/2024.10.20.619287 bioRxiv
Show abstract

In insect locomotion, the transmission of energy from muscles to motion is a process within which there are many sources of dissipation. One significant but understudied source is the structural damping within the insect exoskeleton itself: the thorax and limbs. Experimental evidence suggests that exoskeletal damping shows frequency (or, rate) independence, but investigation into its nature and implications has been hampered by a lack methods for simulating the time-domain behaviour of this damping. Here, synergising and extending results across applied mathematics and seismic analysis, we provide these methods. We show that existing models of exoskeletal rate-independent damping are equivalent to an important singular integral in time: the Hilbert transform. However, these models are strongly noncausal, violating the directionality of time. We derive the unique causal analogue of these existing exoskeletal damping models, as well as an accessible approximation to them, as Hadamard finite-part integrals in time, and provide methods for simulating them. These methods are demonstrated on several current problems in insect biomechanics. Finally, we demonstrate, for the first time, that existing rate-independent damping models are not strictly dissipative: in certain circumstances they are capable of generating negative power without apparently storing energy, likely violating conservation of energy. This work resolves a key methodological impasse in the understanding of insect exoskeletal dynamics and offers new insights into the micro-structural origins of rate-independent damping as well as the directions required in order to resolve violations of causality and the conservation of energy in existing models.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Journal of The Royal Society Interface
189 papers in training set
Top 0.1%
53.0%
50% of probability mass above
2
Bulletin of Mathematical Biology
84 papers in training set
Top 0.4%
4.4%
3
Biological Cybernetics
12 papers in training set
Top 0.1%
4.2%
4
Royal Society Open Science
193 papers in training set
Top 0.4%
4.0%
5
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 19%
3.7%
6
Mathematical Biosciences
42 papers in training set
Top 0.2%
3.7%
7
PLOS ONE
4510 papers in training set
Top 42%
3.1%
8
PLOS Computational Biology
1633 papers in training set
Top 13%
2.1%
9
Physical Review E
95 papers in training set
Top 0.6%
1.7%
10
eLife
5422 papers in training set
Top 41%
1.7%
11
Journal of Experimental Biology
249 papers in training set
Top 1%
1.7%
12
Nature Communications
4913 papers in training set
Top 53%
1.5%
13
Scientific Reports
3102 papers in training set
Top 61%
1.5%
14
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 5%
1.4%
15
Cell Reports
1338 papers in training set
Top 30%
0.9%
16
Science
429 papers in training set
Top 19%
0.8%
17
Physical Review Research
46 papers in training set
Top 0.8%
0.8%
18
BMC Public Health
147 papers in training set
Top 6%
0.7%
19
Journal of Computational Neuroscience
23 papers in training set
Top 0.4%
0.7%
20
Biophysical Journal
545 papers in training set
Top 6%
0.7%
21
Integrative Organismal Biology
14 papers in training set
Top 0.5%
0.5%