4.7 Article

A strain gauge-based Bridge Weigh-In-Motion system using deep learning

Related references

Note: Only part of the references are listed.
Article Engineering, Civil

Weigh-in-Motion-Based Fatigue Damage Assessment

Olga Iatsko et al.

TRANSPORTATION RESEARCH RECORD (2020)

Article Engineering, Civil

Weight estimation on static B-WIM algorithms: A comparative study

Felipe Carraro et al.

ENGINEERING STRUCTURES (2019)

Article Engineering, Civil

Probabilistic bridge weigh-in-motion

Eugene J. OBrien et al.

CANADIAN JOURNAL OF CIVIL ENGINEERING (2018)

Article Engineering, Multidisciplinary

Non-intrusive schemes for speed and axle identification in bridge-weigh-in-motion systems

Hamed Kalhori et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2017)

Article Construction & Building Technology

Detecting structural damage to bridge girders using radar interferometry and computational modelling

Maizuar Maizuar et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2017)

Article Computer Science, Interdisciplinary Applications

Bridge Influence Line Estimation for Bridge Weigh-in-Motion System

Sio-Song Ieng

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2015)

Article Acoustics

Identification of Dynamic Vehicular Axle Loads: Theory and Simulations

Lu Deng et al.

JOURNAL OF VIBRATION AND CONTROL (2010)

Article Engineering, Mechanical

A regularised solution to the bridge weigh-in-motion equations

Eugene J. OBrien et al.

INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS (2009)

Article Computer Science, Interdisciplinary Applications

Wavelet domain analysis for identification of vehicle axles from bridge measurements

Pranesh Chatterjee et al.

COMPUTERS & STRUCTURES (2006)