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RISIntegrated Water-Quality Assessment of the Huai River Basin in China
Publisher: American Society of Civil Engineers
Abstract: The traditional indicator method for water-quality assessment is subjected to uncertainties in assessing water quality and quantity due to different subjective evaluations of the quality and determination of errors in the ...
Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering
Publisher: American Society of Civil Engineers
The Contact Ratio of a Space-Curve Meshing-Wheel Transmission Mechanism
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The space-curve meshing-wheel (SCMW) is a novel mechanical mechanism suitable for small devices. In this paper, a design formula of the contact ratio of SCMW is derived from the space-curve ...
Study 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. ...
Design Criterion for the Space-Curve Meshing Wheel Mechanism Based on Elastic Deformation of the Tines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The space-curve meshing wheel (SCMW) is a novel mechanical transmission mechanism suitable for small devices. It operates on the principle of space-curve meshing, which is quite different from ...
Numerical Simulation of an Indirect Tensile Test for Asphalt Mixtures Using Discrete Element Method Software
Publisher: American Society of Civil Engineers
Abstract: A three-dimensional discrete element model of an asphalt mixture is developed based on discrete element method (DEM) software to investigate the cracking mechanism of the asphalt mixture, which is validated by the results ...
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 ...