Evaluation of System‐Reliability Methods for Cable‐Stayed Bridge Design

1992 ◽  
Vol 118 (4) ◽  
pp. 1106-1120 ◽  
Author(s):  
Michel Bruneau
Author(s):  
Chet Chie Voon ◽  
Hiang Miang Goh ◽  
Chuan Seng Koo

<p>The construction of the Pulau Poh cable-stayed bridge has been challenging both technically and environmentally. The curved pylon shape in two planes, with changing cross section and heavily congested reinforcement pose constructability concerns. Accurate geometry control and positioning of stay cable anchorages within the pylon is crucial to ensure the bridge meets its intended design life. Located in an area with high rainfall intensity presents additional environmental challenges, where working areas are constantly submerged. To address the challenges and meet the project deadline, innovative construction methodologies are being adopted. The bridge design was also revisited, taking into consideration the construction approach. This paper aims to explain the challenges faced and methods used to fast track the construction of the Pulau Poh cable-stayed bridge.</p>


2016 ◽  
Vol 21 (7) ◽  
pp. 04016028 ◽  
Author(s):  
Q. Wen ◽  
X. G. Hua ◽  
Z. Q. Chen ◽  
Y. Yang ◽  
H. W. Niu

2008 ◽  
Vol 17 (3) ◽  
pp. 470-471
Author(s):  
Qiang Zhang ◽  
Baofeng Gao ◽  
Chengyu Liu ◽  
Mujie Liao

2011 ◽  
Vol 250-253 ◽  
pp. 2011-2015 ◽  
Author(s):  
Jin Song Zhu ◽  
Jian Hui Wu

In order to accurately evaluate the reliability of the existing cable-stayed bridge, a method based on inspection information is proposed to update the system reliability. Using Bayesian method and inspection information, the modified model of cable-stayed bridge random variables is established, and then the failure probability of cable-stayed bridge components is updated. Theβ-Tcurves of changing rules of inspection information on system reliability index and service life are obtained. The method has been applied to a cable-stayed bridge, the results show that the proposed method is effective to update the system reliability and can predict the residual life of the existing cable-stayed bridges.


2011 ◽  
Vol 90-93 ◽  
pp. 1061-1068
Author(s):  
Ai Jun Chen ◽  
Guo Jing He

Harp shaped cable-stayed bridges without backstays are popular due to their beautiful and unique styles; they employ leaning tower columns to balance the constant and movable loads on the decks and are not provided with backstays, so they are beyond the traditional bridge design philosophy. In this paper, we discussed the reasonable structure of the main girder of Changsha Hongshan Bridge – a harp shaped cable-stayed bridge without backstays through changing the design parameters of the main girder in respect of design so as to provide important reference for design of this kind of bridges, and the research mainly related to such aspects as the structure selection for and section design of the main girder, the influence of overweight of main girder on the force on the structure, the length of non-cable area of the main girder, the span of auxiliary hole, etc.


Author(s):  
Michael P. Enright ◽  
R. Craig McClung

Some rotor-grade gas turbine engine materials may contain multiple types of anomalies such as voids and inclusions that can be introduced during the manufacturing process. The number and size of anomalies can be very different for the various anomaly types, each of which may lead to premature fracture. The probability of failure of a component with multiple anomaly types can be predicted using established system reliability methods provided that the failure probabilities associated with individual anomaly types are known. Unfortunately, these failure probabilities are often difficult to obtain in practice. In this paper, an approach is presented that provides treatment for engine materials with multiple anomalies of multiple types. It is based on a previous work that has been extended to address the overlap among anomaly type failure modes using the method of Kaplan–Meier and is illustrated for risk prediction of a nickel-based superalloy. The results can be used to predict the risk of general materials with multiple types of anomalies.


2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Hao Wu ◽  
Zhifu Zhu ◽  
Xiaoping Du

Abstract When limit-state functions are highly nonlinear, traditional reliability methods, such as the first-order and second-order reliability methods, are not accurate. Monte Carlo simulation (MCS), on the other hand, is accurate if a sufficient sample size is used but is computationally intensive. This research proposes a new system reliability method that combines MCS and the Kriging method with improved accuracy and efficiency. Accurate surrogate models are created for limit-state functions with minimal variance in the estimate of the system reliability, thereby producing high accuracy for the system reliability prediction. Instead of employing global optimization, this method uses MCS samples from which training points for the surrogate models are selected. By considering the autocorrelation of a surrogate model, this method captures the more accurate contribution of each MCS sample to the uncertainty in the estimate of the serial system reliability and therefore chooses training points efficiently. Good accuracy and efficiency are demonstrated by four examples.


Author(s):  
Michael P. Enright ◽  
R. Craig McClung

Some rotor-grade gas turbine engine materials may contain multiple types of anomalies such as voids and inclusions that can be introduced during the manufacturing process. The number and size of anomalies can be very different for the various anomaly types, each of which may lead to premature fracture. The probability of failure of a component with multiple anomaly types can be predicted using established system reliability methods provided that the failure probabilities associated with individual anomaly types are known. Unfortunately, these failure probabilities are often difficult to obtain in practice. In this paper, an approach is presented that provides treatment for engine materials with multiple anomalies of multiple types. It is based on previous work that has extended to address the overlap among anomaly type failure modes using the method of Kaplan-Meier, and is illustrated for risk prediction of a nickel-based superalloy. The results can be used to predict the risk of general materials with multiple types of anomalies.


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