Vibration based diagnostics on rolling contact fatigue test bench

The paper presents the first results of a study on vibrations associated with a rolling contact fatigue test bench and how this mechanical behavior may be correlated to the fatigue damage of the specimens. In particular, the aim of this study was to evaluate the possibility to detect and quantify, thanks to vibration analysis, the damage on two discs subjected to rolling contact fatigue. The first part of this work regards a description of the bench with a focus on the results acquired by its static and modal fem analyses. Then, some pure rolling and sliding condition tests were carried out and a procedure to monitor both the specimens damage state and to record accelerometric data was implemented by placing a set of piezoaccelerometers on the machine and developing a virtual instrument for automatic data handling and analysis. Tests were also periodically stoppedand the rolling contact surface profile was acquired by means of a linear video camera in order to evaluate its progressive damage. Data acquired were analyzed, considering also the results from the first part of work, both using a standard approach, such as a spectral analysis (FFT, PSD and waterfall), and by implementing custom digital weighting filters for a windowed RMS in order to estimate, realtime during the measurement, a good estimator for the specimen damage state development

An energy-based approach to estimate seismic attenuation due to wave-induced fluid flow in heterogeneous poroelastic media

Wave-induced fluid flow (WIFF) due to the presence of mesoscopic heterogeneities is considered as one of the main seismic attenuation mechanisms in the shallower parts of the Earth’s crust. For this reason, several models have been developed to quantify seismic attenuation in the presence of heterogeneities of varying complexity, ranging from periodically layered media to rocks containing fractures and highly irregular distributions of fluid patches. Most of these models are based on Biot’s theory of poroelasticity and make use of the assumption that the upscaled counterpart of a heterogeneous poroelastic medium can be represented by a homogeneous viscoelastic solid. Under this dynamic-equivalent viscoelastic medium (DEVM) assumption, attenuation is quantified in terms of the ratio of the imaginary and real parts of a frequency-dependent, complex-valued viscoelastic modulus. Laboratory measurements on fluid-saturated rock samples also rely on this DEVM assumption when inferring attenuation from the phase shift between the applied stress and the resulting strain. However, whether it is correct to use an effective viscoelastic medium to represent the attenuation arising from WIFF at mesoscopic scales in heterogeneous poroelastic media remains largely unexplored. In this work, we present an alternative approach to estimate seismic attenuation due to WIFF. It is fully rooted in the framework of poroelasticity and is based on the quantification of the dissipated power and stored strain energy resulting from numerical oscillatory relaxation tests.We employ this methodology to compare different definitions of the inverse quality factor for a set of pertinent scenarios, including patchy saturation and fractured rocks. This numerical analysis allows us to verify the correctness of the DEVM assumption in the presence of different kinds of heterogeneities. The proposed methodology has the key advantage of providing the local contributions of energy dissipation to the overall seismic attenuation, information that is not available when attenuation is retrieved from methods based on the DEVM assumption. Using the local attenuation contributions we provide further insights into the WIFF mechanism for randomly distributed fluid patches and explore the accumulation of energy dissipation in the vicinity of fractures.Facultad de Ciencias Astronómicas y Geofísica

An interaction torque control improving human force estimation of the rehab-exos exoskeleton

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Clinical and molecular characterization of patients with YWHAG‐related epilepsy

Objective YWHAG variant alleles have been associated with a rare disease trait whose clinical synopsis includes an early onset epileptic encephalopathy with predominantly myoclonic seizures, developmental delay/intellectual disability, and facial dysmorphisms. Through description of a large cohort, which doubles the number of reported patients, we further delineate the spectrum of YWHAG-related epilepsy. Methods We included in this study 24 patients, 21 new and three previously described, with pathogenic/likely pathogenic variants in YWHAG. We extended the analysis of clinical, electroencephalographic, brain magnetic resonance imaging, and molecular genetic information to 24 previously published patients. Results The phenotypic spectrum of YWHAG-related disorders ranges from mild developmental delay to developmental and epileptic encephalopathy (DEE). Epilepsy onset is in the first 2 years of life. Seizure freedom can be achieved in half of the patients (13/24, 54%). Intellectual disability (23/24, 96%), behavioral disorders (18/24, 75%), neurological signs (13/24, 54%), and dysmorphisms (6/24, 25%) are common. A genotype–phenotype correlation emerged, as DEE is more represented in patients with missense variants located in the ligand-binding domain than in those with truncating or missense variants in other domains (90% vs. 19%, p < .001). Significance This study suggests that pathogenic YWHAG variants cause a wide range of clinical presentations with variable severity, ranging from mild developmental delay to DEE. In this allelic series, a genotype–phenotype correlation begins to emerge, potentially providing prognostic information for clinical management and genetic counseling

Eight Decades of Hatchery Salmon Releases in the California Central Valley: Factors Influencing Straying and Resilience

The California Central Valley contains the southernmost native populations of Chinook Salmon Oncorhynchus tshawytscha, which inhabit a highly variable, anthropogenically altered environment. To mitigate habitat loss and support fisheries, millions of fall‐run hatchery salmon are released each year, often transported downstream to avoid in‐river mortality, with consequences not fully understood. We synthesize historical trends in release location and timing (1941–2017), focusing on outcomes influencing stock resilience, adult straying, and ocean arrival timing. Over time, juveniles have been transported increasing distances from the source hatchery, particularly during droughts. Transport distance was strongly associated with straying rate (averaging 0–9% vs. 7–89% for salmon released on site vs. in the bay upstream of Golden Gate Bridge, respectively), increasing the effects of hatchery releases on natural spawners. Decreasing variation in release location and timing could reduce spatiotemporal buffering, narrowing ocean arrival timings and increasing risk of mismatch with peak prey production. Central Valley salmon epitomize the pervasive challenge of balancing short‐term (e.g., abundance) against long‐term (e.g., stability) goals

Feasibility study of a jib crane made of composite materials considering deterministic and probabilistic approach

This numerical research reports results related to the implementation of innovative materials such as composite materials to a lifting apparatus and in particular a classic jib crane with a capacity of 500 kg. The work involves an initial analytical dimensioning followed by verifications conducted by finite element analysis. The parameters adopted are maximum displacement, safety coefficient with respect to maximum stress and with respect to buckling phenomena for both the boom and column. The materials assumed are classical steel, aluminum and composite materials with carbon and glass fibers. The performance in terms of stiffness and safety of the crane designed with the new materials should be very similar to that of the crane designed in steel. The last part of the research concerns the design of the crane by adopting probabilistic methods. It is clear from the results that the crane made of composite material and especially with carbon fibers has the lowest weight i.e., about 20% of the weight of the corresponding steel crane. In terms of reliability, assuming defined values in the dispersions, the different solutions are comparable

Adaptive Multidimensional Spline Neural Network for Digital Equalization

Presents a new neural architecture that is suitable for digital signal processing applications. The architecture, which is based on adaptable multidimensional activation functions, allows one to collect information from the previous network layer in aggregate form. In other words, the number of network connections (the structural complexity) can be very low with respect to the problem complexity. This fact, as experimentally demonstrated in this paper, improves the network's generalization capabilities and speeds up the convergence of the learning process. A specific learning algorithm is derived, and experimental results on channel equalization demonstrate the effectiveness of the proposed architecture