Results 61 to 70 of about 7,005 (204)
The impact of using prestressed CFRP bars on the development of flexural strength
The load-carrying capacity and ductility of conventional steel reinforcement may be greatly increased by using ordinary and prestressed carbon fiber-reinforced polymer (CFRP) bars, resulting in reinforced concrete structures with greater sturdiness. This
Edan Ahmed Salim, Abdulsahib Wael Shawky
doaj +1 more source
Through‐thickness binder yarns in tailored three‐dimensional woven flax‐fiber composites stabilize damage propagation and promote progressive crushing, enhancing crashworthiness and energy absorption. ABSTRACT This study investigates the impact crashworthiness performance of flax‐fiber reinforced three‐dimensional (3D) composites through a ...
H. F. M. de Queiroz +3 more
wiley +1 more source
A Machine Learning-Driven Wireless System for Structural Health Monitoring [PDF]
The paper presents a wireless system integrated with a machine learning (ML) model for structural health monitoring (SHM) of carbon fiber reinforced polymer (CFRP) structures, primarily targeting aerospace applications.
Marius POP +6 more
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Textile‐waste Orlon is transformed into recycled PAN nanofiber interleaves for tougher and more damage‐resistant adhesive bondlines. ABSTRACT This study presents a sustainable toughening strategy for adhesively bonded CFRP joints by using electrospun polyacrylonitrile (PAN) nanofiber interleaves produced from virgin PAN (vPAN) and recycled PAN (rPAN ...
Mehmet Emin Çetin +3 more
wiley +1 more source
Fiber reinforced thermoplastic composites has poorer matrix resin impregnation to fiber reinforcements, because of extreme high viscosity of molten thermoplastics.
Satoshi KOBAYASHI, Tetsuya MORIMOTO
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Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci +2 more
wiley +1 more source
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley +1 more source
From end‐of‐life pultruded CFRP profiles (1) to second life composites (7) through mild solvolysis (2,3), wet‐laid nonwoven mat fabrication (4), resin impregnation (5), and compression molding (6). ABSTRACT The growing use of carbon fiber–reinforced thermosets has led to the accumulation of significant composite waste, posing environmental and economic
Ehsan Zolfaghari +6 more
wiley +1 more source
Schematic summary of the drilling damage and microstructural degradation mechanisms in basalt fiber‐reinforced composites after acidic aging. ABSTRACT This study investigates the drilling performance and environmental durability of basalt fiber reinforced polymer (BRC) and halloysite nanotube (HNT) modified basalt nanocomposites (BRnC) exposed to ...
İbrahim Aslan +3 more
wiley +1 more source
A numerical analysis of CFRP laminate behaviour under high-velocity impact [PDF]
This work focuses on the numerical investigation of the ballistic and delamination mechanisms of T700 carbon fibre/epoxy laminate with a [0/90]s stacking sequence.
Ghosh Pritam, Ramajeyathilagam K.
doaj +1 more source

