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RISStudy on Data-Driven Identification Method of Hinge Joint Damage under Moving Vehicle Excitation
Publisher: ASCE
Abstract: The hinge joint is an important and fragile component of assembled hollow-slab bridges. Therefore, it is necessary to regularly identify hinge joint damage for guaranteeing the safety of assembled hollow-slab bridges. ...
Development of a Bridge Weigh-in-Motion System Based on Long-Gauge Fiber Bragg Grating Sensors
Publisher: American Society of Civil Engineers
Abstract: Monitoring the weight of vehicles is essential for policymakers to maintain the condition of bridges. In the group of methods for weighing vehicles, bridge weigh-in-motion (B-WIM) systems are among the most prominent and ...
Embedding Prior Knowledge into Data-Driven Structural Performance Prediction to Extrapolate from Training Domains
Publisher: ASCE
Abstract: Machine learning (ML)–based data-driven approaches have become increasingly prevalent for predicting structural performance. Because a properly trained ML model can learn hidden patterns in databases of experimental samples, ...
Data-Driven Shear Capacity Prediction of Reinforced Concrete Deep Beams with an Uncertainty-Aware Model
Publisher: American Society of Civil Engineers
Abstract: Data-driven approaches based on machine learning (ML) have become progressively popular for the shear capacity prediction of reinforced concrete (RC) deep beams because the fine-tuned ML models could mostly outperform the ...
Probabilistic Model Based on Bayesian Model Averaging for Predicting the Plastic Hinge Lengths of Reinforced Concrete Columns
Publisher: ASCE
Abstract: A probabilistic model is devised for predicting the plastic hinge lengths (PHLs) of RC columns. Seven existing parametric models are evaluated first using a comprehensive database comprising PHL measurements from 133 RC ...
Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting
Publisher: ASCE
Abstract: The capabilities of data-driven models based on machine learning (ML) algorithms in offering accurate predictions of structural responses efficiently have been demonstrated in numerous recent studies. However, efforts to ...
On the Correctness and Strictness of the Position and Orientation Characteristic Equation for Topological Structure Design of Robot Mechanisms
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Position and orientation characteristic (POC) equations for topological structure synthesis of serial and parallel mechanisms were proposed in a published paper by the authors. This paper will further prove the correctness ...
A Simple Method for Inverse Kinematic Analysis of the General 6R Serial Robot
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The inverse kinematic analysis of the general 6R serial robot has been a very significant and important problem in the theory of the spatial mechanisms. Because the solution to inverse kinematics ...
Multi-Cross-Reference Method for Highway-Bridge Damage Identification Based on Long-Gauge Fiber Bragg-Grating Sensors
Publisher: ASCE
Abstract: Highway bridges are vital infrastructure engineering whose safety severely influences the safety and stability of society. Damage identification, as the core part of structural health monitoring, plays an essential role ...