Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
EXPERIMENTAL APPROACH FOR DEVELOPMENT OF SUSTAINABLE HYBRID GRADED FIBER REINFORCED CONCRETE BY CONSUMING LATHE WASTE STEEL FIBERS WITH GLASS FIBERS FOR ENHANCED MECHANICAL PROPERTIES [PDF]
Local workshops generate large quantities of industrial lathe waste steel fibers, which the steel manufacturing industries find difficult to recycle because of their sharp edges.
Fawad Ahmad +4 more
doaj +1 more source
Fracture studies on synthetic fiber reinforced cellular concrete using acoustic emission technique [PDF]
Cellular lightweight concrete (CLC) is increasingly used for low strength non-structural and structural applications. The effects of synthetic fiber reinforcement on the fracture behavior of CLC is investigated.
Kawasaki, Yuma +3 more
core +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Revised Rebound Hammer and Pull-Out Test Strength Curves for Fiber-Reinforced Concrete
Rebound hammer tests and postinstalled pull-out tests are commonly used for evaluating the compressive strength of ordinary concrete, and the strength of concrete is estimated by strength curves.
Peng Deng +3 more
doaj +1 more source
The formation and properties of laser-induced periodic surface structures (LIPSS) were investigated on carbon fibers under irradiation of fs-laser pulses characterized by a pulse duration $\tau$ = 300 fs and a laser wavelength $\lambda$ = 1025 nm.
Boehm, Anne V. +9 more
core +1 more source
Effect of fiber dosage and prestress level on shear behavior of hybrid GFRP-steel reinforced concrete I-shape beams without stirrups [PDF]
Corrosion of steel reinforcements embedded in concrete elements is generally known as one of the most common reasons that shorten the service life of the structures.
Barros, Joaquim A. O. +3 more
core +1 more source
From Compliance to Circularity: A Design‐Led Approach to Recyclable Packaging
ABSTRACT The transition to recyclable packaging is a strategic priority for the Fast‐Moving Consumer Goods (FMCG) sector, aligning with the EU Packaging and Packaging Waste Regulation (PPWR). Adapting to regulatory uncertainty and integrating evolving recyclability criteria require not only technical innovation but also organisational transformation ...
Tessa Bronsky +2 more
wiley +1 more source
Experimental study on shear behavior of HPFRC beams reinforced by hybrid pre-stressed GFRP and steel bars [PDF]
The present study deals with the development of a new generation of high durable reinforced concrete (RC) beams, by combining the benefits of glass fiber reinforced polymer (GFRP), steel bar and high performance fiber reinforced concrete (HPFRC).
Barros, Joaquim A. O. +4 more
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