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Related Concept Videos

Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

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...

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Related Experiment Video

Updated: May 9, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Exploring a comprehensive knowledge map for bridge management research: a Delphi-enhanced scientometric analysis.

Peng Peng1, Zuocai Wang2,3, Peng Cui4,5

  • 1School of Civil Engineering, Hefei University of Technology, Hefei, 230009, China.

Scientific Reports
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

This study maps bridge management (BM) evolution, identifying key themes like digital twins and AI. It outlines future priorities for intelligent, sustainable, and resilient infrastructure.

Keywords:
Bridge engineeringBridge managementBridge management systemsCiteSpaceEngineering managementScientometric analysis

Related Experiment Videos

Last Updated: May 9, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Area of Science:

  • Civil Engineering
  • Infrastructure Management
  • Informatics

Background:

  • Aging global bridge infrastructure faces increasing demands for safety, sustainability, and cost-efficiency.
  • Effective bridge management (BM) is critical for maintaining infrastructure integrity and public safety.

Purpose of the Study:

  • To create a comprehensive knowledge map of bridge management (BM) using scientometric analysis.
  • To clarify the intellectual structure, technological frontiers, and emerging themes in BM research.
  • To identify evidence-informed future research priorities for advancing BM.

Main Methods:

  • Scientometric analysis of 1582 articles (2003-2024) from Web of Science Core Collection using CiteSpace.
  • Keywords and research gaps refined via a Delphi process with five senior experts.
  • Techniques included co-citation, cluster mapping, citation bursts, and keyword time-zone analysis.

Main Results:

  • Identified three evolutionary stages: exploratory (2003-2009), steady growth (2010-2016), and digital transformation (2017-2024).
  • Revealed ten thematic clusters, including intelligent management, hybrid decision-making, inspection technologies, and life-cycle sustainability.
  • Highlighted research hotspots such as digital twins, machine learning, condition assessment, and structural health monitoring.

Conclusions:

  • Five future priorities include integrated AI-driven frameworks, hybrid decision models, network-level inspection planning, sustainability-oriented life-cycle assessment, and resilience modeling.
  • Global collaboration networks identified key hubs shaping BM knowledge exchange.
  • Provides a structured agenda for advancing intelligent, sustainable, and risk-resilient bridge management.