scholarly journals Low velocity flexural impact behaviors of bamboo fiber reinforced composite beams

2021 ◽  
Vol 94 ◽  
pp. 107047
Author(s):  
Zhenyu Qiu ◽  
Jingxuan Wang ◽  
Hualin Fan
Keyword(s):  
Composite Beams ◽  
Bamboo Fiber ◽  
Fiber Reinforced ◽  
Low Velocity ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite

Effect of Fiber Orientation and Modification on the Behavior of Bamboo Fiber Reinforced UPE/ESOA Hybrid Composite

2019 ◽  
Vol 23 ◽  
pp. 40-56
Author(s):  
Shivkumari Panda ◽  
Dibakar Behera ◽  
Prasant Rath
Keyword(s):  
Unsaturated Polyester ◽  
Bamboo Fiber ◽  
Fiber Reinforced ◽  
Fiber Mats ◽  
Fiber Reinforced Composite ◽  
Biodegradable Composite ◽  
Pull Out ◽  
Reinforced Composite ◽  
Reinforced Fiber ◽  
First Time

In this chapter, bamboo fiber with parallel and anti parallel orientation has been introduced in the Unsaturated polyester (UPE)/ Epoxidized Soybean Oil Acrylate (ESOA) blend. The reinforced fiber mats were treated with NaOH and NaOH-silane to improve the stiffness and strength of the composites. Parallelly oriented fiber reinforced composite showed improved glass transition temperature. The mechanical, thermal, storage modulus and tribological properties are highly improved for parallel fiber oriented composite. Also alkali-silane treated fiber reinforced composite show optimum properties than alkali treated and raw fiber based composites. Anti parallelly oriented composites show reduced performance due to pull out of fibers. The FTIR analysis of all the composites was observed for the first time with valid reaction mechanism. So this new partially biodegradable composite can open a new door for potential application in various fields. This composite may be used as an alternating material to wood for various indoor and outdoor applications.

Damage Detection in Fiber-Reinforced Composite Beams by Using a Bayesian Fusion Method

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
U. Baneen ◽  
J. E. Guivant
Keyword(s):  
Damage Detection ◽  
Composite Beam ◽  
Simulated Data ◽  
Composite Beams ◽  
Optimal Sampling ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Damage Indices ◽  
Reinforced Composite ◽  
Glass Fiber Reinforced

This paper presents a method for the detection of damage present in composite beam-type structures. The method, which successfully detected damage in steel beams, is applied to a glass fiber-reinforced beam in order to verify its suitability for composite structures as well. The damage indices were obtained using the gapped-smoothing method (GSM), which does not require a baseline model in order to detect damage. Despite the advantage of avoiding the need for a reference model altogether, unavoidable measurement errors make GSM rather ineffective. The proposed method uses the damage indices that GSM provides for synthesizing a set of likelihood functions that is processed under a Bayesian approach in order to reduce the effect of the noise and other uncertainty sources. The quality of the damage detection was examined by investigating an optimal sampling size analytically, and it was demonstrated through numerical simulation. This paper details the theory of the noise suppression method based on Bayesian data fusion, includes an analysis of the optimal sampling size, and presents the experimental results for two glass fiber-reinforced composite beams with a narrow and wide delamination, respectively. A noise-addition process was applied to the simulated data considering two different noise distributions. The composite beam was modeled in ANSYS, and harmonic analysis was used to obtain the frequency response functions at different beam locations. The results were obtained by adding 5, 10, and 15% noise in the simulated data, and they were then validated from the experimental results.

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