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Full-Text Articles in Civil Engineering
Experimental Validation Of Multistep Quantitative Crack Damage Assessment For Truss Structures By Finite Element Model Updating, Soon Lee, Gunjin Yun, Mohammad Rahimi, Shen Shang
Experimental Validation Of Multistep Quantitative Crack Damage Assessment For Truss Structures By Finite Element Model Updating, Soon Lee, Gunjin Yun, Mohammad Rahimi, Shen Shang
Gunjin Yun
In this paper, a multistep damage quantification method has been experimentally validated by quantifying crack damage of load-carrying members of truss structures based on experimental vibration records. Damage quantifications are still challenging tasks for difficulties in interpreting response signals measured from engineering structures. Open crack depth is parameterized as a damage variable. The open crack in Euler–Bernoulli beam element is modeled by introducing local flexibility coefficients to the uncracked beam element with joint rotational flexibility. Mode shapes and natural frequencies measured from experimental modal testing of a damaged laboratory-size truss bridge are used in the finite element model updating for …
Closure To “Analysis And Design Method For Slope Stabilization Using A Row Of Drilled Shafts, Robert Liang, Arash Joorabchi, Lin Li
Closure To “Analysis And Design Method For Slope Stabilization Using A Row Of Drilled Shafts, Robert Liang, Arash Joorabchi, Lin Li
Robert Y. Liang
No abstract provided.
A Clustering Based Method To Evaluate Soil Corrosivity For Pipeline External Integrity Management, Ayako Yajima, Hui Wang, Robert Liang, Homero Castaneda
A Clustering Based Method To Evaluate Soil Corrosivity For Pipeline External Integrity Management, Ayako Yajima, Hui Wang, Robert Liang, Homero Castaneda
Robert Y. Liang
One important category of transportation infrastructure is underground pipelines. Corrosion of these buried pipeline systems may cause pipeline failures with the attendant hazards of property loss and fatalities. Therefore, developing the capability to estimate the soil corrosivity is important for designing and preserving materials and for risk assessment. The deterioration rate of metal is highly influenced by the physicochemical characteristics of a material and the environment of its surroundings. In this study, the field data obtained from the southeast region of Mexico was examined using various data mining techniques to determine the usefulness of these techniques for clustering soil corrosivity …
Bayesian Modeling Of External Corrosion In Underground Pipelines Based On The Integration Of Markov Chain Monte Carlo Techniques And Clustered Inspection Data, Hui Wang, Ayako Yajima, Robert Liang, Homero Castaneda
Bayesian Modeling Of External Corrosion In Underground Pipelines Based On The Integration Of Markov Chain Monte Carlo Techniques And Clustered Inspection Data, Hui Wang, Ayako Yajima, Robert Liang, Homero Castaneda
Robert Y. Liang
In this study, a model is developed to assess external corrosion in buried pipelines based on the unification of Bayesian inferential structure derived from Markov chain Monte Carlo techniques using clustered inspection data. This proposed stochastic model combines clustering algorithms that can ascertain the similarity of corrosion defects and Monte Carlo simulation that can give an accurate probability density function estimation of the corrosion rate. The metal loss rate is chosen as the indicator of corrosion damage propagation, obeying a generalized extreme value (GEV) distribution. Bayesian theory was employed to update the probability distribution of metal loss rate as well …
Importance Sampling Based Algorithm For Efficient Reliability Analysis Of Axially Loaded Piles, Haijian Fan, Robert Liang
Importance Sampling Based Algorithm For Efficient Reliability Analysis Of Axially Loaded Piles, Haijian Fan, Robert Liang
Robert Y. Liang
In reliability analysis, the crude Monte Carlo method is known to be computationally demanding. To improve computational efficiency, this paper presents an importance sampling based algorithm that can be applied to conduct efficient reliability evaluation for axially loaded piles. The spatial variability of soil properties along the pile length is considered by random field modeling, in which a mean, a variance, and a correlation length are used to statistically characterize a random field. The local averaging subdivision technique is employed to generate random fields. In each realization, the random fields are used as inputs to the well-established load transfer method …
System Reliability Analysis For Anchor-Stabilised Slopes Considering Stochastic Corrosion Of Anchors, Lin Li, Robert Liang, Hanlong Liu
System Reliability Analysis For Anchor-Stabilised Slopes Considering Stochastic Corrosion Of Anchors, Lin Li, Robert Liang, Hanlong Liu
Robert Y. Liang
In this paper, a methodology using Monte Carlo simulation method was developed in conjunction with the modified limiting equilibrium method of slices. Additionally, the time-dependent deterioration of bond capacity of corroding soil anchors was developed in this methodology due to the attack of chlorides. Uncertainties of anchor-related variables and soil parameters were considered using pertinent statistical descriptors. Furthermore, the inherent stochastic nature of the corrosion and degradation process for the anchor/slope system was identified and incorporated in the simulation. A PC-based software, C-UASLOPE, has been coded to allow for handling of complex slope geometry, soil profile and groundwater conditions. An …