Investigation of Bamboo Fibrous Tensile Strength Using Modified Weibull Distribution

Abstract

Ethiopia has a large coverage of bamboo plants that are used for furniture making and house building. So far, researchers have not studied the strength of Ethiopian bamboo fibers, which are utilized for composite applications. The current study measured the strength of bamboo fibers based on various testing lengths and calculated the predictive tensile strength using a modified Weibull distribution. Moreover, the quality of the extraction machine is evaluated based on shape and sensitivity parameters. This research paper incorporates the coefficient of variation of the fiber diameters, considering the defects distribution through the length for measuring the predictive strength of the fibers. The fiber diameters were calculated using the area weight methods, which had its density measured using a Pycnometer. It has been examined that as the testing gauge length and coefficient variation of fiber diameter simultaneously increased, the tensile strength of the bamboo fibers decreased. The shape parameter, sensitivity parameter, and characteristic strength of Injibara bamboo (Y. alpina) are 6.02–7.83, 0.63, and 459–642 MPa, whereas Kombolcha bamboo (B. oldhamii) are 5.87–10.21, 0.33, and 408–638 MPa, as well as Mekaneselam bamboo (Y. alpina) are 5.86–9.63, 0.33 and 488–597 MPa, respectively.

A New Sine-Based Probabilistic Approach: Theory and Monte Carlo Simulation with Reliability Application

“…Terefore, to capture the complex form of data, numerous updated and fexible modifcations of equation (1) have been studied. For example, Vanem and Fazeres-Ferradosa [4] studied the truncated translated Weibull model, Alotaibi et al [5] considered the alpha power Weibull distribution to deal with the engineering datasets, Tach [6] proposed a three-component additive Weibull distribution and applied it for modeling the reliability datasets, Abd El-Monsef et al [7] analyzed a reliability dataset using the Poisson modifed Weibull model, Dessalegn et al [8] introduced the modifed Weibull model for the bamboo fbrous dataset, Rehman et al [9] analyzed the failure data by using another modifed Weibull model, and Li et al [10] developed a three-parameter Weibull distribution for modeling the fracture datasets.…”