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Risk Control and Performance Design of Bridge Structures

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1006

Special Issue Editors


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Guest Editor
School of Civil Engineering, Southeast University, Nanjing 211189, China
Interests: bridge structures; steel and composite structures; concrete-filled steel tubes; novel structures against blast and impact loads

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Guest Editor
School of Civil Engineering, Southeast University, Nanjing 211189, China
Interests: bridge engineering; earthquake engineering; seismic resilience; ground motion simulation

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Guest Editor
Department of Construction, Civil Engineering and Architecture (DICEA), Università Politecnica delle Marche, 60131 Ancona, Italy
Interests: earthquake engineering; structural analysis; structural design; soil-structure interaction; bridge engineering; dynamic characterization; dynamic experimental tests
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Guest Editor

Special Issue Information

Dear Colleagues,

Bridge structures are an important part of transportation networks and urban lifeline engineering. During their service life, bridges not only have to withstand traffic loads, but also are exposed to multiple dynamic hazards, such as earthquakes, vehicle/ship collisions, and accidental and terrorist explosions. These extreme dynamic loads can cause severe damage to the bridge components and structures, and weaken the structural performance, which may lead to catastrophic consequences with massive personnel injuries and fatalities, enormous economic loss, and immeasurable social impact. Therefore, in the designing and operation of bridges, it is of great importance to reasonably assess the effects of extreme loads on bridges and to reduce the probability or impact of potential hazards through the application of advanced risk control strategies and design concepts.

The aim of this Special Issue is to showcase recent advances in innovative research and engineering technologies that mitigate risks and enhance the performance of bridges under earthquakes, impacts, blasts and so on. These include the development and application of advanced materials in bridge design and construction; the adoption of advanced simulation and modeling techniques for dynamic response analysis of bridges under extreme loads; the development of artificial intelligence-based models for rapid/real-time prediction of the effects of extreme events; the retrofitting and strengthening approaches to enhance the bridge structural performance; and the integration of smart sensing and monitoring systems for early detection of potential risks and failures. Both original research articles and reviews are welcome. We look forward to receiving your contributions.

Dr. Minghong Li
Dr. Yuanzheng Lin
Dr. Sandro Carbonari
Prof. Dr. Weiqiang Wang
Guest Editors

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Keywords

  • bridge structures
  • dynamic multi-hazards
  • dynamic response analysis
  • structural performance assessment
  • bridge design
  • risk control and management
  • artificial intelligence
  • retrofitting and strengthening approaches
  • smart sensing and monitoring

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Published Papers (1 paper)

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Research

11 pages, 5364 KiB  
Article
Application of Generalized S-Transform in the Measurement of Dynamic Elastic Modulus
by Lei Wang, Yang Gao, Hongguang Liu, Guoping Fu and Dunqiang Lu
Appl. Sci. 2024, 14(14), 5995; https://doi.org/10.3390/app14145995 - 9 Jul 2024
Viewed by 574
Abstract
Resonance is commonly used for in situ measurement of the dynamic elastic modulus to evaluate the strength of concrete samples. Many researchers are also exploring the application of this convenient measurement technology for safety monitoring. Nevertheless, the presence of cracks and variations in [...] Read more.
Resonance is commonly used for in situ measurement of the dynamic elastic modulus to evaluate the strength of concrete samples. Many researchers are also exploring the application of this convenient measurement technology for safety monitoring. Nevertheless, the presence of cracks and variations in curing conditions within samples can impact the resonance frequency range, potentially leading to potential inaccuracies in measurements. In order to improve the measurement accuracy of resonance frequency, this study introduces the Generalized S-Transform (GST) algorithm for measuring the dynamic elastic modulus, which utilizes its high time-frequency resolution to scan the power peak-point in non-stationary and transient excitation signals to determine the resonance frequency. For concrete materials with lower consistency, the experimental results verify the high accuracy of this algorithm in measuring resonance frequency compared with Fast Fourier Transform (FFT). This provides a reference for using the algorithm to measure the dynamic elastic modulus in civil engineering applications, such as buildings and bridges. Full article
(This article belongs to the Special Issue Risk Control and Performance Design of Bridge Structures)
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