Hybrid reliability model for fatigue reliability analysis of steel bridges

Cao, Shanshan; Lei, Junqing

doi:10.1007/s11771-016-3090-4

Cited by 5 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the field of hardening criterion, the kinematic hardening model, the isotropic hardening model, and mixed hardening model exist. Due to the isotropic materials of the components of the yielding bolt, the classical bilinear isotropic hardening constitutive model was applied in the simulation 38 . In this model, the stress‐strain relationship curve of the metal materials was simplified into a double line, as shown in Figure 6.…”

Section: The Numerical Model Of the Yielding Boltmentioning

confidence: 99%

The mechanism of decrease in bearing capacity and performance evaluation of the yielding bolt in coal mine

Tai

Huang

Xia

et al. 2020

Energy Science & Engineering

View full text Add to dashboard Cite

With the increase of the coal mining depth, the surrounding rock shows characteristics of high stress and large deformation. However, the traditional bolt could not adapt to this surrounding rock environment and become invalid due to low elongation. In order to solve the problem, the new type of yielding bolt has been designed. It could release the deformation energy of the surrounding rock through its yielding pipe. However, few studies have been reported on the mechanism in bearing capacity decrease of the yielding pipe. Furthermore, the evaluation of the yielding bolt was not fully understood. Under such a background, a numerical model of the yielding model was established. According to the numerical simulation, the mechanism of the decrease in the bearing capacity of the yielding bolt is that the buckling occurs at different positions of the yielding pipe, making the material stiffness matrix turn negative, and the bearing capacity decreases significantly. Also, the performance of the yielding bolt could be evaluated from the use efficiency of the yielding pipe, the plastic strain characteristics of the components of the yielding bolt, and the energy absorption law. The evaluation results indicated that: (a) the deviation of the yielding pipe's Mises stresses was within the range of 1.0%‐4.0%. The stresses were distributed evenly, and the material use efficiency was high; (b) only the yielding pipe occurred the plastic failure during the yielding process, and other components were at the elastic stages. After the yielding, the yielding bolt was still effective for support. (c) The yielding pipe could absorb energy smoothly, which is helpful for the stability of the yielding bolt.

show abstract

Section: The Numerical Model Of the Yielding Boltmentioning

confidence: 99%

The mechanism of decrease in bearing capacity and performance evaluation of the yielding bolt in coal mine

Tai

Huang

Xia

et al. 2020

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…There are other methods for HRA [17][18][19][20][21][22][23][24]; for example, [17] developed a new HRA technique for structures with multisource uncertainties that contained randomness, fuzziness, and nonprobabilistic boundedness. Hurtado and Alvarez proposed a Monte Carlo method for probability and interval approaches for reliability analysis; meanwhile, they discussed the use of Monte Carlo methods for both reliability and interval analysis from the point proposed representation.…”

Section: Introductionmentioning

confidence: 99%

Application of Probabilistic and Nonprobabilistic Hybrid Reliability Analysis Based on Dynamic Substructural Extremum Response Surface Decoupling Method for a Blisk of the Aeroengine

Bai

Zhang

et al. 2017

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

For the nondeterministic factors of an aeroengine blisk, including both factors with sufficient and insufficient statistical data, based on the dynamic substructural method of determinate analysis, the extremum response surface method of probabilistic analysis, and the interval method of nonprobabilistic analysis, a methodology called the probabilistic and nonprobabilistic hybrid reliability analysis based on dynamic substructural extremum response surface decoupling method (P-NP-HRA-DS-ERSDM) is proposed. The model includes random variables and interval variables to determine the interval failure probability and the interval reliability index. The extremum response surface function and its flow chart of mixed reliability analysis are given. The interval analysis is embedded in the most likely failure point in the iterative process. The probabilistic analysis and nonprobabilistic analysis are investigated alternately. Tuned and mistuned blisks are studied in a complicated environment, and the results are compared with the Monte Carlo method (MCM) and the multilevel nested algorithm (MLNA) to verify that the hybrid model can better handle reliability problems concurrently containing random variables and interval variables; meanwhile, it manifests that the computational efficiency of this method is superior and more reasonable for analysing and designing a mistuned blisk. Therefore, this methodology has very important practical significance.

show abstract

“…According to a study conducted by the ASCE committee [1], approximately 80-90% of steel bridge failures are caused by fatigue and fracture issues. In general, a fatigue-critical component of a steel bridge is designed with enough fatigue resistance and fatigue life against the cyclic vehicular load [2][3][4]. However, a steady increase in both the traffic volume and gross vehicle weight (GVW), due to rapid growth and expansion of developments in intercity and interstate transportation, has posed a threat to the fatigue safety of existing bridges [5,6].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Reliability Assessment of Orthotropic Bridge Decks under Stochastic Truck Loading

Liu

Xiao

et al. 2016

Shock and Vibration

View full text Add to dashboard Cite

A steady traffic growth has posed a threat to the fatigue safety of existing bridges. Uncertainties in traffic flows add to the challenge of an accurate fatigue safety assessment. This article utilizes a stochastic traffic load model to evaluate the fatigue reliability of orthotropic steel bridge decks. The traffic load model is simulated by site-specific weigh-in-motion measurements. A response surface method is presented to solve the time-consuming problem caused by hotspot stress simulations in the finite element model. Applications of the stochastic traffic load model for probabilistic modeling and fatigue reliability assessment are demonstrated in the case study of a steel box-girder bridge. Numerical results indicate that the growth rate of the gross vehicle weight leads to a rapid decrease of the fatigue reliability in comparison to the traffic volume growth. Even though the traffic volume growth is rapid, the control of overloaded trucks in comparison to the traffic volume is an effective way to ensure the fatigue safety of the steel bridges.

show abstract

Hybrid reliability model for fatigue reliability analysis of steel bridges

Cited by 5 publications

References 22 publications

The mechanism of decrease in bearing capacity and performance evaluation of the yielding bolt in coal mine

The mechanism of decrease in bearing capacity and performance evaluation of the yielding bolt in coal mine

Application of Probabilistic and Nonprobabilistic Hybrid Reliability Analysis Based on Dynamic Substructural Extremum Response Surface Decoupling Method for a Blisk of the Aeroengine

Fatigue Reliability Assessment of Orthotropic Bridge Decks under Stochastic Truck Loading

Contact Info

Product

Resources

About