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RISClustering-Based Active-Learning Kriging Reliability Analysis of FRP-Strengthened RC Beams with Random Finite-Element to Model Spatial Variability
Publisher: American Society of Civil Engineers
Abstract: This paper presents a framework for assessing the reliability of fiber reinforced polymer (FRP)–strengthened reinforced concrete (RC) beams in flexure using stochastic nonlinear finite-element (SNFE) analysis and k-w-means ...
Reliability-Based Design Aid for Evaluation and FRP Retrofit of Existing RC Bending Members by Considering Project-Specific Conditions
Publisher: American Society of Civil Engineers
Abstract: This paper presents the formulation of a reliability-based design aid to assess the need for strengthening existing reinforced concrete (RC) flexural members and optimize the retrofit using externally bonded fiber-reinforced ...
Postfatigue Monotonic Behavior of RC Beams Strengthened with Prestressed NSM CFRP Strips: Ductility Evaluation
Publisher: American Society of Civil Engineers
Abstract: The flexural behavior of fatigued reinforced concrete (RC) beams strengthened using prestressed near surface mounted (NSM) carbon fiber–reinforced polymer (CFRP) strips was investigated. Five RC beams were tested; one beam ...
Performance of RC Beams Strengthened Using Prestressed NSM-CFRP Strips Subjected to Fatigue Loading
Publisher: American Society of Civil Engineers
Abstract: The fatigue performance of Reinforced Concrete (RC) beams strengthened using prestressed Near Surface Mounted (NSM) Carbon Fiber Reinforced Polymer (CFRP) strips was evaluated in this paper. Five full-scale RC beams were ...
Live-Load Factor and Load Combination for Bridge Systems Conveying Extremely Heavy Mining Trucks
Publisher: American Society of Civil Engineers
Metric Systems for Performance Evaluation of Active Learning Kriging Configurations for Reliability Analysis
Publisher: ASCE
Abstract: In active learning Kriging (AK) reliability-based analysis, a surrogate model is trained in a stepwise manner and used to evaluate the reliability of the desired system by reducing the computational cost of analysis. While ...
Recommendations for Active-Learning Kriging Reliability Analysis of Bridge Structures
Publisher: American Society of Civil Engineers
Abstract: Active-learning Kriging (AK) was developed as a surrogate-aided reliability technique to address the need for efficient reliability estimation when assessing complex limit states. The results of AK analyses are sensitive ...