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RISProbabilistic Behavior and Variance-Based Sensitivity Analysis of Reinforced Concrete Masonry Walls Considering Slenderness Effect
Publisher: ASCE
Abstract: Inherent uncertainties associated with masonry structures result in large scatter in experimentally or analytically predicted behavior. Rigorous investigation of uncertainties in the structural behavior of masonry structures ...
Estimating Mean and Variance of In-Plane Resistance of Masonry Walls Using Inaccurate Design-Code Models and Limited High-Fidelity Data
Publisher: American Society of Civil Engineers
Abstract: Analyzing uncertainty or estimating statistics of load resistance of structures is crucial for reliability-based code calibrations, forming the foundation for modern limit state design. While design-code models can be used ...
Formulation, Implementation, and Validation of a 3D Damage-Plasticity Cohesive-Interface Model with Multiple Yield Surfaces for Cyclic Modeling of Mortar Joints
Publisher: ASCE
Abstract: The mechanical behavior of mortar joints can be described by means of the cohesive interface element in the mesoscale modeling of masonry structures. In this paper, a novel three-dimensional (3D) constitutive model for the ...
Influence of Flow Width on Mean Velocity of Debris Flows in Wide Open Channel
Publisher: American Society of Civil Engineers
Abstract: Debris flow in a wide open downstream channel has a significant transverse velocity component that strongly influences its mean longitudinal velocity. Investigation of observation data of debris-flow surges at Jiangjia ...
Closure to “Out‐of‐Plane Inelastic Buckling and Strength of Steel Arches” by Yong‐Li Pi and N. S. Trahair
Publisher: American Society of Civil Engineers
Real-Time Movement-Based Traffic Volume Prediction at Signalized Intersections
Publisher: ASCE
Abstract: The traffic volume of each movement at signalized intersections can provide valuable information on real-time traffic conditions that enable traffic control systems to dynamically respond to the fluctuated traffic demands. ...
Machine Learning–Based Hysteretic Lateral Force-Displacement Models of Reinforced Concrete Columns
Publisher: ASCE
Abstract: Hysteretic lateral force-displacement (HLFD) models are important for efficient structural analysis under cyclic loading (e.g., earthquakes). This paper proposes a novel machine learning (ML)-based HLFD model, referred ...
Effects of Permanent Ground Deformation Patterns on Strain Demand of Pressurized Buried Continuous Steel Pipelines
Publisher: ASCE
Abstract: The structural integrity of buried pipelines is often threatened by permanent ground deformation (PGD) within the pipeline route. Oil and gas transmission steel pipelines, which usually traverse several kilometers, are ...
Enhancing Road Surface Temperature Prediction: A Novel Approach Integrating Transfer Learning with Long Short-Term Memory Neural Networks
Publisher: American Society of Civil Engineers
Abstract: Timely and accurate prediction of winter road surface temperature is crucial for the effective operation of a road weather information system (RWIS), which is essential to road traffic safety. A major challenge in achieving ...
Gaussian Process Regression–Based Model Error Diagnosis and Quantification Using Experimental Data of Prestressed Concrete Beams in Shear
Publisher: American Society of Civil Engineers
Abstract: To facilitate considering model uncertainty for rigorous reliability/probabilistic analysis, this paper proposed a Gaussian process regression–based (GPR-based) model error quantification framework and applied to shear ...