Results 201 to 210 of about 2,232,082 (389)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Response of free-headed segmental piles with mechanical joints to lateral loading. [PDF]
Liu T, Zhang Q, Sun C, Cheng J, Wu Y.
europepmc +1 more source
Analysis of Driven Piles Using Local and Non-Local Models
Nicolás Sau +2 more
openalex +2 more sources
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
Field study on heat transfer performance and thermo-mechanical properties of pre-bored PHC energy pile. [PDF]
Zhou JJ, Zhang RH, Yu JL, Jin S.
europepmc +1 more source
Analysis of driven piles using the peridynamic model
R Serrano +99 more
openalex +1 more source
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
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
Pendulum column with inclined negative stiffness as a novel hybrid seismic isolation mechanism integrated into soil with pile-like characteristics. [PDF]
Azizi A, Barghian M.
europepmc +1 more source
Research on the dynamic pricing strategy of charging piles based on data-driven supply and demand balance and data-driven [PDF]
Yibei Lai, Zhixian Li, Zehan Zhang
openalex +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source

