Results 41 to 50 of about 79,589 (237)
HeliyonThe primary purpose of this study was to evaluate the hydraulic coefficient of coarse aggregate grain size beds and hydraulic parameters under random and perpendicular bed configurations, as well as to explore the discharge coefficient for rectangular ...
Ayalkie Belete Amsie +3 more
doaj +1 more source
Impact of bed roughness and sediment permeability on mass exchange across sediment-water interface
Shui kexue jinzhan, 2020 The mass exchange process across sediment-water interface (SWI) plays an important role in contaminant migration and transformation in natural waters. The mass exchange across the SWI for rough bed depends on both bed roughness and sediment permeability.
Jingyu FAN +4 more
doaj +1 more source
Spatially averaged flows over mobile rough beds : definitions, averaging theorems, and conservation equations [PDF]
, 2013 Peer ...
Ballio, Francesco +3 more
core +1 more source
Characterization of subglacial landscapes by a two-parameter roughness index [PDF]
, 2010 Peer reviewedPublisher ...
Bingham, Robert George +7 more
core +2 more sources
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Advanced Engineering Materials, EarlyView.Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source
Variations in roughness predictions (flume experiments) [PDF]
, 2005 Data of flume experiments with bed forms are used to analyze and compare different roughness predictors. In this study, the hydraulic roughness consists of grain roughness and form roughness.
Blom, A. +3 more
core +1 more source
Rough Correlations: Meta‐Analysis of Roughness Measures in Gravel Bed Rivers [PDF]
Water Resources Research, 2020 AbstractBed roughness height (k) is a key parameter for velocity prediction in open‐channel flows. There is not yet a firm consensus about whether characteristic particle size D84 or (standard deviation of the channel thalweg) better describes k in gravel bed streams.
Xingyu Chen +3 more
openaire +1 more source
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Alluvial cover on bedrock channels: applicability of existing models [PDF]
Earth Surface Dynamics, 2020 Several studies have demonstrated the importance of alluvial cover; furthermore, several mathematical models have also been introduced to predict the alluvial cover on bedrock channels.
J. Mishra, T. Inoue
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source