Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 4

Year

2021 1

2020 2

2010 1

Keywords

Sutong Bridge 1

axle weight calculation 1

bridge weigh-in-motion 1

bridges 1

continuous bridge 1

fabrication 1

fast Fourier transform 1

influence line 1

lane load disparity 1

large steel cofferdam 1

lowering as a whole 1

multi-lane factor 1

multi-truck presence 1

synchronousness controlling 1

traffic load 1

weigh-in-motion data 1

open ︾

Search scope:

排序： Display mode:

A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence

Hanli WU, Hua ZHAO, Jenny LIU, Zhentao HU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1232-1246 doi: 10.1007/s11709-020-0653-0

Abstract: Bridge weigh-in-motion (BWIM) system as a high performance and cost-effective technology has been extensively

Keywords： bridge weigh-in-motion continuous bridge fast Fourier transform influence line axle weight calculation

HTML PDF Collect

CRISPR Use in Humans Shows Promise While Experts Weigh Ethical Concerns

Peter Weiss

Engineering 2020, Volume 6, Issue 7, Pages 719-722 doi: 10.1016/j.eng.2020.05.010

HTML PDF Collect

A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 877-894 doi: 10.1007/s11709-021-0756-2

Abstract: Many bridge design specifications consider multi-lane factors (MLFs) a critical component of the traffic load model. Measured multi-lane traffic data generally exhibit significant lane disparities in traffic loads over multiple lanes. However, these disparities are not considered in current specifications. To address this drawback, a multi-coefficient MLF model was developed based on an improved probabilistic statistical approach that considers the presence of multiple trucks. The proposed MLF model and approach were calibrated and demonstrated through an example site. The model sensitivity analysis demonstrated the significant influence of lane disparity of truck traffic volume and truck weight distribution on the MLF. Using the proposed approach, the experimental site study yielded MLFs comparable with those directly calculated using traffic load effects. The exclusion of overloaded trucks caused the proposed approach, existing design specifications, and conventional approach of ignoring lane load disparity to generate comparable MLFs, while the MLFs based on the proposed approach were the most comprehensive. The inclusion of overloaded trucks caused the conventional approach and design specifications to overestimate the MLFs significantly. Finally, the benefits of the research results to bridge practitioners were discussed.

Keywords： bridges multi-lane factor traffic load lane load disparity multi-truck presence weigh-in-motion