Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Maximum Deflection01:13

Maximum Deflection

437
When analyzing beams under unsymmetrical loads, such as a train moving on a bridge, it is crucial to accurately determine the points of maximum stress and deflection. The process involves identifying the maximum deflection of the beam, which may not always occur at its midpoint due to the uneven distribution of the load.
The maximum deflection occurs at a specific point, known as point O, where the tangent to the deflection curve is horizontal. To find point O, the slope of the tangent at any...
437
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

349
The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
349
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

111
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
111
Eccentric Loading01:16

Eccentric Loading

319
Eccentric loading is a crucial concept in the study of structural engineering and mechanics, particularly when analyzing the stability and stress distribution in columns. Unlike centric loading, where the force is applied along the centroidal axis, causing uniform compression, eccentric loading occurs when a force is applied off-center. This off-center application introduces not only direct compressive stress but also bending stress, significantly influencing the column's behavior under...
319
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

38
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
38
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

155
The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments.
155

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

On the Effect of Intra- and Inter-Node Sampling Variability on Operational Modal Parameters in a Digital MEMS-Based Accelerometer Sensor Network for SHM: A Preliminary Numerical Investigation.

Sensors (Basel, Switzerland)·2025
Same author

A Measurement Approach for Characterizing Temperature-Related Emissivity Variability in High-Emissivity Materials.

Sensors (Basel, Switzerland)·2025
Same author

Facial Expression Recognition for Measuring Jurors' Attention in Acoustic Jury Tests.

Sensors (Basel, Switzerland)·2024
Same author

Automated Measurement of Geometric Features in Curvilinear Structures Exploiting Steger's Algorithm.

Sensors (Basel, Switzerland)·2023
Same author

Algorithms for Vision-Based Quality Control of Circularly Symmetric Components.

Sensors (Basel, Switzerland)·2023
Same author

SwimmerNET: Underwater 2D Swimmer Pose Estimation Exploiting Fully Convolutional Neural Networks.

Sensors (Basel, Switzerland)·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

8.7K

AI-Enhanced IoT System for Assessing Bridge Deflection in Drive-By Conditions.

Leonardo Iacussi1, Paolo Chiariotti1, Alfredo Cigada1

  • 1Department of Mechanical Engineering, Politecnico di Milano, Via Privata Giuseppe la Masa 1, 20156 Milano, Italy.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective method for bridge structural health monitoring (SHM) using digital MEMS sensors and edge AI. It enables accurate prediction of bridge deflection behavior through indirect measurements on vehicles, enhancing SHM scalability.

Keywords:
IoT infrastructureMEMS sensorsedge AIindirect SHMintelligent sensors

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
05:04

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

1.4K

Related Experiment Videos

Last Updated: Jun 3, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

8.7K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
05:04

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

1.4K

Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Internet of Things (IoT)

Background:

  • Increasing road traffic challenges bridge and viaduct structural integrity.
  • Indirect structural monitoring presents a scalable and economical solution for infrastructure assessment.
  • Existing methods may lack cost-effectiveness and widespread applicability.

Purpose of the Study:

  • To explore novel sensing strategies for indirect Bridge Structural Health Monitoring (SHM).
  • To integrate digital MEMS sensors with an intelligent IoT infrastructure for bridge deflection prediction.
  • To leverage edge AI for real-time analysis of structural behavior.

Main Methods:

  • Development of an experimental setup with a bridge model and a sensorized vehicle.
  • Deployment of various bridge deflection estimation models on the vehicle's smart sensing node.
  • Utilizing edge AI capabilities for on-board data processing and analysis.

Main Results:

  • Demonstrated the potential of data-driven technologies to improve low-cost sensor performance.
  • Validated the viability of assessing static bridge deflection shapes via indirect vehicle-based measurements.
  • Showcased the effectiveness of edge AI in predicting bridge deflection behavior.

Conclusions:

  • Indirect SHM using MEMS sensors and IoT offers a cost-effective and scalable approach.
  • Edge AI integration enhances the capabilities of low-cost sensors for structural monitoring.
  • This methodology holds significant promise for improving the maintenance and safety of bridges and viaducts.