Experimental Research into the Uniaxial Compressive Strength of Low-Density Reef Limestone Based on Image Recognition. [PDF]
Wei X, Luo Y, Tao Y, Li X, Meng F.
europepmc +1 more source
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao +5 more
wiley +1 more source
HYFIS vs FMR, LWR and Least squares regression methods in estimating uniaxial compressive strength of evaporitic rocks. [PDF]
Hassan MY, Arman H.
europepmc +1 more source
A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff +4 more
wiley +1 more source
Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks. [PDF]
Hassan MY, Arman H.
europepmc +1 more source
Effect of uniaxial strength and fracture parameters of concrete on its biaxial compressive strength
The biaxial compressive behavior of concrete has been widely studied in the literature, and the biaxial envelope has always been reported for a particular uniaxial compressive strength.
Chen, E., Leung, Christopher K.Y.
core +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Brittle-ductile transition stress of different rock types and its relationship with uniaxial compressive strength and Hoek-Brown material constant (mi). [PDF]
Davarpanah SM +4 more
europepmc +1 more source
Compressive Strength Characterization of Polyester Based Fillers
This paper investigates the compressive properties of polyester based fillers with different proportions of resin, sand and fly ash. The research program aims at developing a polymer based filler for a glass fibre reinforced polymer (GFRP) tube to be ...
Lokuge, Weena +7 more
core +1 more source

