359 research outputs found
Super-Bridges Suspended Over Carbon Nanotube Cables
In this paper the new concept of super-bridges, i.e. kilometre-long bridges
suspended over carbon nanotube cables, is introduced. The analysis shows that
the use of realistic (thus defective) carbon nanotube bundles as suspension
cables can enlarge the current limit main span by a factor of 3.Comment: 17 pages, 6 figures, 2 table
On the Strength of the Carbon Nanotube-Based Space Elevator Cable: From Nano- to Mega-Mechanics
In this paper different deterministic and statistical models, based on new
quantized theories proposed by the author, are presented to estimate the
strength of a real, thus defective, space elevator cable. The cable, of ~100
megameters in length, is composed by carbon nanotubes, ~100 nanometers long:
thus, its design involves from the nano- to the mega-mechanics. The predicted
strengths are extensively compared with the experiments and the atomistic
simulations on carbon nanotubes available in the literature. All these
approaches unequivocally suggest that the megacable strength will be reduced by
a factor at least of ~70% with respect to the theoretical nanotube strength,
today (erroneously) assumed in the cable design. The reason is the unavoidable
presence of defects in a so huge cable. Preliminary in silicon tensile
experiments confirm the same finding. The deduced strength reduction is
sufficient to pose in doubt the effective realization of the space elevator,
that if built as today designed will surely break (according to the s opinion).
The mechanics of the cable is also revised and possibly damage sources
discussed
Crackling noise in three-point bending of heterogeneous materials
We study the crackling noise emerging during single crack propagation in a
specimen under three-point bending conditions. Computer simulations are carried
out in the framework of a discrete element model where the specimen is
discretized in terms of convex polygons and cohesive elements are represented
by beams. Computer simulations revealed that fracture proceeds in bursts whose
size and waiting time distributions have a power law functional form with an
exponential cutoff. Controlling the degree of brittleness of the sample by the
amount of disorder, we obtain a scaling form for the characteristic quantities
of crackling noise of quasi-brittle materials. Analyzing the spatial structure
of damage we show that ahead of the crack tip a process zone is formed as a
random sequence of broken and intact mesoscopic elements. We characterize the
statistics of the shrinking and expanding steps of the process zone and
determine the damage profile in the vicinity of the crack tip.Comment: 11 pages, 15 figure
On unified crack propagation laws
The anomalous propagation of short cracks shows generally exponential fatigue crack growth but the dependence on stress range at high stress levels is not compatible with Paris’ law with exponent . Indeed, some authors have shown that the standard uncracked SN curve is obtained mostly from short crack propagation, assuming that the crack size a increases with the number of cycles N as where h is close to the exponent of the Basquin’s power law SN curve. We therefore propose a general equation for crack growth which for short cracks has the latter form, and for long cracks returns to the Paris’ law. We show generalized SN curves, generalized Kitagawa–Takahashi diagrams, and discuss the application to some experimental data. The problem of short cracks remains however controversial, as we discuss with reference to some examples
Evidence of friction reduction in laterally graded materials
In many biological structures, optimized mechanical properties are obtained through complex structural organization involvingmultiple constituents, functional grading and hierarchical organization. In the case of biological surfaces, the possibility to modifythe frictional and adhesive behaviour can also be achieved by exploiting a grading of the material properties. In this paper, we in-vestigate this possibility by considering the frictional sliding of elastic surfaces in the presence of a spatial variation of the Young’smodulus and the local friction coefficients. Using finite-element simulations and a two-dimensional spring-block model, we investi-gate how graded material properties affect the macroscopic frictional behaviour, in particular, static friction values and the transi-tion from static to dynamic friction. The results suggest that the graded material properties can be exploited to reduce static frictionwith respect to the corresponding non-graded material and to tune it to desired values, opening possibilities for the design of bio-inspired surfaces with tailor-made tribological propertie
Deep learning aided topology optimization of phononic crystals
In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate deep learning (DL) model is proposed. We show that our trained DL model is ultrafast in the prediction of the dispersion diagrams, and therefore can be efficiently used in the optimization framework
Materiali strutturali biologici e bioinspirati
I materiali sviluppati dall'uomo e utilizzati per applicazioni tecnologiche, in generale non sono multifunzionali, né tolleranti ai difetti, né auto-riparanti, né auto-pulenti, né gerarchici. Il contrario è vero per i materiali naturali, che manifestano queste proprietà nonostante siano "costruiti" usando un numero limitato di componenti di base estremamente comuni. Una comprensione approfondita del perché sia così potrebbe fornire la chiave per accelerare l'avvento di una nuova era basata su nuovi materiali.Questo è l'obiettivo della ricerca sui materiali bioispirati, che è in continua evoluzione e ha già fatto passi significativi verso questa meta
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