構造信頼性解析を用いた機械構造材料の確率論的疲労強度評価に関する実験的検討

上山 健太; 白土 透; 倉嶋 寛貴; 今井 達也

doi:10.60316/jcossar.10.0_255

The 10th Japan Conference on Structural Safety and Reliability

Session ID : OS12-9A

DOI https://doi.org/10.60316/jcossar.10.0_255

Conference information

Host: Science Council of Japan

Co-host: Japan Society for Safety Engineering, The Japanese Geotechnical Society, Japan Society of Civil Engineers, The Japan Society of Mechanical Engineers, Architectural Institute of Japan, The Japan Society for Aeronautical and Space Sciences, The Society of Materials Science, Japan, The Japan Society of Naval Architects and Ocean Engineers

Name : The 10th Japan Conference on Structural Safety and Reliability

Number : 10

Location : [in Japanese]

Date : October 25, 2023 - October 27, 2023

Type A (Reviewed full paper)

Experimental Investigation of Probabilistic Fatigue Strength Assessment for Mechanical Structural Materials by Structural Reliability Analysis

Kenta UEYAMA, Toru SHIRATSUCHI, Hirotaka KURASHIMA, Tatsuya IMAI

Author information

Keywords: Structural reliability analysis, Probabilistic fatigue strength assessment, Monte Carlo Simulation, Fatigue strength

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

In this study, fatigue tests using a one-side notched specimen of SNCM439 were conducted to investigate the validity of probabilistic fatigue strength assessment of mechanical structural materials via structural reliability analysis. First, the probability density functions were defined as statistical variations of fatigue strength and fatigue loading to perform structural reliability analysis for fatigue failure of the specimen using Monte Carlo simulation. The result of the structural reliability analysis was then compared with the probability of fatigue failure obtained from fatigue tests with fatigue loading, which was by the probability density function of the fatigue loading in the structural reliability analysis. The result showed that the probability of fatigue failure calculated via structural reliability analysis agree with the likelihood of fatigue failure obtained from fatigue tests. This study provides substantial evidence for the validity of probabilistic fatigue strength assessment via structural reliability analysis.

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