Frictional Coefficient under Banana Skin

Mabuchi, Kiyoshi; Tanaka, Kensei; Uchijima, Daichi; Sakai, Rina

doi:10.2474/trol.7.147

Cited by 15 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These extremely low values (as compared to standard "Byerlee" rock friction values of 0.65 to 0.8 observed in decades of laboratory experiments at low speed and inferred from small faults globally) are consistent with those estimated by the laboratory experiment described above, in between the permeable and impermeable laboratory results, but closer to the results from the impermeable case (Ujiie et al, 2013). The implication is that the fault slipped with extremely little frictional resistance, akin to the coefficient of friction for a banana peel underfoot (Mabuchi et al, 2012). These direct measurements, the first of their kind for a major earthquake, contributed greatly to understanding of how rapid, coseismic slip can and does propagate to the seafloor, triggering tsunamis.…”

Section: Jfast: the Japan Trench Fast Drilling Projectsupporting

confidence: 85%

Processes Governing Giant Subduction Earthquakes: IODP Drilling to Sample and Instrument Subduction Zone Megathrusts

Tobin¹,

Kimura²,

Kodaira³

2019

Oceanog

View full text Add to dashboard Cite

Section: Jfast: the Japan Trench Fast Drilling Projectsupporting

confidence: 85%

Processes Governing Giant Subduction Earthquakes: IODP Drilling to Sample and Instrument Subduction Zone Megathrusts

Tobin¹,

Kimura²,

Kodaira³

2019

Oceanog

View full text Add to dashboard Cite

“…Although the absence of friction can be dangerous in some cases, facilitating for example slipping on ice [76] or a banana peel [77], a great scientific challenge consists in reducing its value in order to limit energy consumption in technological process [16]. In this regard, the superlubricity phenomenon, corresponding to a state of very low friction between two surfaces, has been observed and thoroughly investigated [78,79].…”

mentioning

confidence: 99%

Statistical mechanics of rate-independent stick-slip on a corrugated surface composed of parabolic wells

Giordano

2022

Continuum Mech. Thermodyn.

View full text Add to dashboard Cite

The stick-slip phenomenon, at the basis of friction, is crucial for several applications ranging from nanotechnology and biophysics to mechanics and geology. Deep understanding of friction mechanisms and, in particular, the methodologies for its reduction must be sought in its nanoscopic nature, where atomic interactions and stick-slip processes play a crucial role. At this scale, thermal fluctuations clearly have a major effect on the physics of the problem. Hence, we develop here a theory for rate-independent stick-slip, based on equilibrium statistical mechanics. In particular, we introduce suitably modified Prandtl-Tomlinson and Frenkel-Kontorova models in order to study the system with one particle and the chain with N particles, respectively. The adopted corrugated substrate is composed of a sequence of quadratic wells. Interestingly, the calculation of corresponding partition functions shows a conceptual link with the theory of Jacobi and Riemann theta functions, allowing an efficient determination of the average static frictional force and other relevant quantities. We show some applications including the study of structural lubricity and thermolubricity.

show abstract

“…Fig. 2 B1 and B2 demonstrates that the sSNN can change the walking rhythm in response to the sudden changes in the friction coefficient to µ = 0.04 during the period t = [10,40] s and µ = 10 otherwise (µ = 0.04 is smaller than that of a banana skin on the floor and mostly similar to a ski on wet snow) (27). Movie S1 demonstrates bipedal walking using an sSNN controller that successfully slows down the rhythm but fails to find a new stable gait pattern.…”

Section: Significancementioning

confidence: 99%

Spike-induced ordering: Stochastic neural spikes provide immediate adaptability to the sensorimotor system

Yonekura

Kuniyoshi

2020

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Most biological neurons exhibit stochastic and spiking action potentials. However, the benefits of stochastic spikes versus continuous signals other than noise tolerance and energy efficiency remain largely unknown. In this study, we provide an insight into the potential roles of stochastic spikes, which may be beneficial for producing on-site adaptability in biological sensorimotor agents. We developed a platform that enables parametric modulation of the stochastic and discontinuous output of a stochastically spiking neural network (sSNN) to the rate-coded smooth output. This platform was applied to a complex musculoskeletal–neural system of a bipedal walker, and we demonstrated how stochastic spikes may help improve on-site adaptability of a bipedal walker to slippery surfaces or perturbation of random external forces. We further applied our sSNN platform to more general and simple sensorimotor agents and demonstrated four basic functions provided by an sSNN: 1) synchronization to a natural frequency, 2) amplification of the resonant motion in a natural frequency, 3) basin enlargement of the behavioral goal state, and 4) rapid complexity reduction and regular motion pattern formation. We propose that the benefits of sSNNs are not limited to musculoskeletal dynamics. Indeed, a wide range of the stability and adaptability of biological systems may arise from stochastic spiking dynamics.

show abstract

Frictional Coefficient under Banana Skin

Cited by 15 publications

References 2 publications

Processes Governing Giant Subduction Earthquakes: IODP Drilling to Sample and Instrument Subduction Zone Megathrusts

Processes Governing Giant Subduction Earthquakes: IODP Drilling to Sample and Instrument Subduction Zone Megathrusts

Statistical mechanics of rate-independent stick-slip on a corrugated surface composed of parabolic wells

Spike-induced ordering: Stochastic neural spikes provide immediate adaptability to the sensorimotor system

Contact Info

Product

Resources

About