A probability distribution model for stress concentration factors in multi-planar tubular DKT-joints of steel offshore structures-Reference-Cited by-同舟云学术

A probability distribution model for stress concentration factors in multi-planar tubular DKT-joints of steel offshore structures

Published:2012-01 Issue: Volume:34 Page:21-32
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Ahmadi Hamid,Lotfollahi-Yaghin Mohammad Ali

Publisher

Elsevier BV

Subject

Ocean Engineering

Reference39 articles.

1. A statistically based fatigue crack growth model for offshore structures;Wolfram;Appl Ocean Res,1986

2. Health and Safety Executive (UK). OTH 354: stress concentration factors for simple tubular joints-assessment of existing and development of new parametric formulae. Prepared by Lloyd's Register of Shipping; 1997.

3. Applications of probabilistic fracture mechanics to offshore structures;Kirkemo;Appl Mech Rev,1988

4. Fatigue reliability analysis of tubular joints of offshore structures using response surface method;Mosayyebi;Asian J Civil Eng,2000

5. Fatigue reliability analysis in time domain for inspection strategy of fixed offshore structures;Pillai;Ocean Eng,2000

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