Results 71 to 80 of about 1,003 (174)

Measurement of Microstructure of Snow from Surface Sections

Defence Science Journal, 1995
A new approach to modelling the microstructure of snow is presented. The features involved in this formulation include skeletonising of the granular material and the modelling of the necks as a system of truncated cones. The skeletonising involves the process of representing the granular structure by a series of lines describing the grains and the
M.Q. Edens, R.L. Brown
openaire   +1 more source

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing

Engineering Reports, Volume 8, Issue 3, March 2026.
Implementation of deterministic and probabilistic regression algorithms on an additive manufacturing dataset for prediction of dimensional accuracy—difference from target (DFT), which is the dimensional deviation of a manufactured part from a reference computer‐aided design geometry.
Dipayan Sanpui, Anirban Chandra, Henry Chan, Sukriti Manna, Subramanian K. R. S. Sankaranarayanan   +4 more
wiley   +1 more source

Snow mechanics: from snow microstructure to avalanche formation

, 2022
Snow is a fascinating material. Its composition is relatively simple, mainly air and ice, but the arrangement of these components in three dimensions is extremely diverse. This diversity of microstructure, often reduced to discrete snow types, originates from different snowflake growth mechanisms in the atmosphere and the continuous evolution of snow ...
openaire   +1 more source

Impact of spatial averaging on radar reflectivity at internal snowpack layer boundaries

Journal of Glaciology, 2016
Microwave radar amplitude within a snowpack can be strongly influenced by spatial variability of internal layer boundaries. We quantify the impact of spatial averaging of snow stratigraphy and physical snowpack properties on surface scattering from near ...
N. RUTTER, H.-P. MARSHALL, K. TAPE, R. ESSERY, J. KING   +4 more
doaj   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, Volume 14, Issue 3, Page 1663-1682, March 2026.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Relationships between acoustic scattering layers and ocean stratification: An acoustic approach to estimate mixed layer depth

Limnology and Oceanography: Methods, Volume 24, Issue 3, March 2026.
Abstract Ocean stratification, measured as mixed layer depth (MLD), is an important feature that influences many processes in the ocean; for example, by mediating the fluxes of momentum, heat and crucially key gases such as CO2 and oxygen from the atmosphere into the water column and vice versa. The conventional methods to measure stratification (e.g.,
Fabio Campanella, Jeroen van der Kooij, Liam Fernand   +2 more
wiley   +1 more source

Development of a handheld integrating sphere snow grain sizer (HISSGraS)

Annals of Glaciology
We developed a Handheld Integrating Sphere Snow Grain Sizer (HISSGraS) for field use to measure the specific surface area (SSA) of snow. In addition to snow samples, HISSGraS can directly measure snow surfaces and snow pit walls.
Teruo Aoki, Akihiro Hachikubo, Motoshi Nishimura, Masahiro Hori, Masashi Niwano, Tomonori Tanikawa, Konosuke Sugiura, Ryo Inoue, Satoru Yamaguchi, Sumito Matoba, Rigen Shimada, Hiroshi Ishimoto, Jean-Charles Gallet   +12 more
doaj   +1 more source

Spectral measurements of surface hoar crystals

Journal of Glaciology, 2017
Surface hoar crystals are common on the surface of mountain snow covers. Once buried, layers of large plate-shaped surface hoar crystals are prone to releasing dangerous snow-slab avalanches. Since snow microstructure influences the optical properties of
SIMON HORTON, BRUCE JAMIESON
doaj   +1 more source

On the compressive strength of weak snow layers of depth hoar

Journal of Glaciology
We determined the compressive strength of weak layers of faceted crystals and depth hoar using artificially grown samples with a wide range of microstructural morphologies in a cold laboratory setup.
Jakob Schöttner, Melin Walet, Philipp Rosendahl, Philipp Weissgraeber, Valentin Adam, Benjamin Walter, Florian Rheinschmidt, Henning Löwe, Jürg Schweizer, Alec van Herwijnen   +9 more
doaj   +1 more source

Observing the effect of morphology on the elastic properties of new snow using a non-contacting laser ultrasound system

Journal of Glaciology
Quantifying micromechanical and microstructural properties of snow is crucial, as they control bulk thermal, electrical and mechanical properties.
James Chris McCaslin, Thomas Dylan Mikesell, Hans-Peter Marshall, Zoe Courville   +3 more
doaj   +1 more source