Critical behavior of random fibers with mixed Weibull distribution.

Phys Rev E Stat Nonlin Soft Matter Phys

Department of Physics, Indian Institute of Technology Kanpur 208016, India.

Published: January 2007

A random fiber bundle model with a mixed Weibull distribution is studied under the global load sharing scheme. The mixed model consists of two sets of fibers. The threshold strength of one set of fibers is randomly chosen from a Weibull distribution with a particular Weibull index, and another set of fibers with a different index. The mixing tunes the critical stress of the bundle and the variation of critical stress with the amount of mixing is determined using a probabilistic method where the external load is increased quasistatically. In a special case which we illustrate, the critical stress is found to vary linearly with the mixing parameter. The critical exponents and power-law behavior of burst avalanche size distribution is found to remain unaltered due to mixing.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.75.011109DOI Listing

Publication Analysis

Top Keywords

weibull distribution
12
critical stress
12
mixed weibull
8
set fibers
8
critical
5
critical behavior
4
behavior random
4
fibers
4
random fibers
4
fibers mixed
4

Similar Publications

Bearing characteristics and damage rules of regenerated rock mass.

Sci Rep

January 2025

Dazhu Coal and Electricity Group of Sichuan, Xiaohezui Coal Mine, Dazhou, 6635000, China.

This study investigates the bearing characteristics and damage evolution of regenerative rock masses formed under varying geological conditions through uniaxial loading tests, numerical simulations, and theoretical derivations. Regenerative rock mass samples with different water-cement ratios and cementing materials were prepared, and the mechanical behavior during the loading process was analyzed. The results indicate that the secondary damage process can be divided into three stages: pre-peak, weakening, and friction.

View Article and Find Full Text PDF

Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes.

J Appl Stat

May 2024

Department of Aviation Management, Republic of China Air Force Academy, Kaohsiung, Taiwan.

Ensuring products maintain their normal function during the warranty period is essential for companies to control warranty costs and sustain their brand reputation. A variables acceptance sampling (VAS) plan based on the lifetime performance index (LPI) is a practical technology for verifying product lifetimes because it can provide the number of failures required for life testing and the acceptance criterion for lot disposition. Recently, an LPI-based variables quick-switch sampling (VQSS) system has been developed to improve the sampling efficiency.

View Article and Find Full Text PDF

Long-term erosion by acidic solutions in karst regions leads to continuous deterioration of the physical and mechanical properties at the interfaces of engineering structures, adversely affecting their operational performance. To investigate the degradation patterns of the mechanical properties and corrosion mechanisms of the concrete‒limestone composite (CLC) after exposure to acidic corrosion, three kinds of CLC samples treated with acidic solutions of different pH values were fabricated. Mechanical property analysis was conducted via triaxial compression testing methods.

View Article and Find Full Text PDF

The Weibull regression model is a regression model derived from the Weibull distribution, where the Weibull distribution is influenced by covariates. In this study, parameter estimation for the Weibull regression model was conducted using the Maximum Likelihood (ML) estimation. The aim of the study is to develop a Weibull regression model based on the hospitalization time of stroke patients at Abdul Wahab Sjahranie Hospital, Samarinda, during the period of 2021-2022, and to identify the factors affecting it.

View Article and Find Full Text PDF

Wind energy assessment and hybrid micro-grid optimization for selected regions of Saudi Arabia.

Sci Rep

January 2025

Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.

This study investigates the optimization of wind energy integration in hybrid micro grids (MGs) to address the rising demand for renewable energy, particularly in regions with limited wind potential. A comprehensive assessment of wind energy potential was conducted, and optimal sizing of standalone MGs incorporating photovoltaic (PV) systems, wind turbines (WT), and battery storage (BS) systems was performed for six regions in the Kingdom Saudi Arabia. Wind resource analysis utilizing the Weibull distribution function shows that all regions exhibited Class 1 wind energy characteristics, with average annual wind power densities ranging from 36.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!