Results 291 to 300 of about 7,458,524 (401)
A Review on the Prevalence of Poor Mental Health in the Construction Industry. [PDF]
Blair Winkler R, Middleton C, Remes O.
europepmc +1 more source
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis+3 more
wiley +1 more source
Research on coupling coordination between construction industry innovation and region economic development in China. [PDF]
Xiang Y, Chen Y, Wan A, Su Y, Xiong R.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Valorization of Water Treatment Sludge for Applications in the Construction Industry: A Review. [PDF]
Mattoso AP+4 more
europepmc +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat+6 more
wiley +1 more source
Retraction: Evaluation of sleep quality and duration using wearable sensors in shift laborers of construction industry: a public health perspective. [PDF]
Frontiers Editorial Office.
europepmc +1 more source
A Study on Knowledge-intensive of the Construction Industry
Hidekuni Takasaki+4 more
openalex +2 more sources
Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder+3 more
wiley +1 more source