scholarly journals A MULTI-AXIAL STRESS-STRAIN MODEL FOR STRUCTURAL ALUMINUM ALLOYS UNDER CYCLIC LOADS

Author(s):  
Tadao NAKAGOMI ◽  
Tomohisa YAMADA ◽  
Yuichi ICHIKAWA ◽  
Atsushi SUGIE
2015 ◽  
Vol 19 (6) ◽  
pp. 04015004 ◽  
Author(s):  
Najwa F. Hany ◽  
Elie G. Hantouche ◽  
Mohamed H. Harajli

2021 ◽  
Vol 25 (1) ◽  
pp. 04020078
Author(s):  
Francesco Micelli ◽  
Gennaro Maddaloni ◽  
Fabio Longo ◽  
Andrea Prota

Materials ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 2626 ◽  
Author(s):  
Yan Li ◽  
Yunhu Lu ◽  
Ramadan Ahmed ◽  
Baoguo Han ◽  
Yan Jin

The cement sheath is the key for providing the zonal isolation and integrity of the wellbore. Oil well cement works under confining pressure, so it exhibits strong nonlinear and ductile behavior which is very different from that without confining pressure. Therefore, for the accuracy of the simulation and the reliability of well construction design, a reliable compression stress–strain model is essential for confined well cement. In this paper, a new axial stress–strain model for confined well cement is developed based on uniaxial and triaxial test data, examinations of failure mechanisms, and the results of numerical analysis. A parametric study was conducted to evaluate and calibrate the model. The model is simple and suitable for direct use in simulation studies and well design. Results from this study show the nonlinear compressive behavior of confined well cement can be predicted using the traditional uniaxial compressive strength test measurements.


Structures ◽  
2020 ◽  
Vol 23 ◽  
pp. 779-788 ◽  
Author(s):  
Haytham F. Isleem ◽  
Muhammad Tahir ◽  
Zhenyu Wang

2018 ◽  
Vol 70 (20) ◽  
pp. 1064-1079 ◽  
Author(s):  
Haytham F. Isleem ◽  
Daiyu Wang ◽  
Zhenyu Wang

2021 ◽  
pp. 147592172110339
Author(s):  
Mujib Olamide Adeagbo ◽  
Heung-Fai Lam ◽  
Qin Hu

The effective maintenance and health monitoring of ballasted railway tracks, which involves the determination of differential settlement, track support stress and stiffness, and the strain-hardening property of ballast, is essential. The vertical stress–strain behavior of the ballast layer is primarily responsible for the irrecoverable strains and settlements in tracks, leading to further track degradation. This article reports the development of a series of applicable yet simple uniaxial models and the selection of the most plausible one for capturing the behavior of vertical stresses and strains in ballasts utilizing a set of measured vibration data of the rail–sleeper–ballast system from a Bayesian perspective. From the literature, the dynamic behavior of ballast can be divided into linear and non-linear regions. Under small amplitude vibration, the stress–strain property is linear and elastic, while the behavior becomes non-linear and inelastic once the elasticity limit is exceeded. By integrating the linear phase to some well-known non-linear engineering material laws, a list of new ballast stress–strain model classes was developed. An enhanced Markov chain Monte Carlo–based Bayesian scheme was utilized to explicitly handle the uncertainties in the model updating process, while the Bayesian model class selection method was employed to select the most plausible ballast stress–strain model class under the prevailing system conditions. The proposed methodology was verified using three sets of measured acceleration data from impact hammer tests on an in situ sleeper with simulated ballast damage. The obtained results suggest that the linear-elastic model is sufficient for small amplitude vibrations, while the modified Voce model is the most plausible amongst the investigated model classes for high impact load. The results also demonstrate the importance of the non-linear ballast model in ballast damage identification and the potential applicability of the selected ballast model in field track monitoring.


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