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Infrastructures, Volume 10, Issue 10

October 2025 - 25 articles

Cover Story: Aging bridges face increasing deterioration due to environmental and operational stresses, highlighting the need for more proactive maintenance strategies. This study introduces a Transformer-based model that interprets decades of inspection data as a continuous temporal sequence. By capturing long-range dependencies often overlooked by traditional models such as Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRUs), the framework achieves superior short and long-term prediction accuracy. Ultimately, this approach allows bridges to “speak” through their inspection data and empowers engineers to “listen” with greater precision, fostering data-driven decision-making in infrastructure management. View this paper
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Articles (25)

  • Article
  • Open Access
363 Views
19 Pages

Accurate prediction of the International Roughness Index (IRI) is critical for road safety and maintenance decisions. In this study, we propose a novel Physics-Aware Informer (PA-Informer) model that integrates the efficiency of the Informer structur...

  • Article
  • Open Access
340 Views
17 Pages

3D Effects on the Stability of Upstream-Raised Tailings Dams in Narrow Valleys

  • Raul Conceição,
  • Gonçalo Ferreira,
  • Henrique Lopes and
  • João Camões Lourenço

Tailings dams are unique structures due to the materials they store and the methods applied in their construction, often resulting in complex three-dimensional (3D) problems. Most current slope-stability analyses neglect the 3D effects without signif...

  • Article
  • Open Access
311 Views
16 Pages

The ablation of pantograph sliders caused by pantograph–catenary arcing is a critical issue in the operation of pantograph–catenary systems. The arc discharge induces localized high temperatures that lead to the melting and even evaporati...

  • Article
  • Open Access
577 Views
42 Pages

The Lake Velence watershed faces increasing challenges driven by local and global factors, including the impacts of climate change, energy resource limitations, and greenhouse gas emissions. These issues, particularly acute in water management, are e...

  • Article
  • Open Access
626 Views
18 Pages

Australia consumes approximately 29 million m3 of concrete each year with an estimated embodied carbon (EC) of 12 Mt CO2e. High consumption of concrete makes it critical for successful decarbonization to support the achievement of ‘Net Zero 205...

  • Article
  • Open Access
495 Views
32 Pages

Optimizing Mortar Strength for Infrastructure Applications Using Rice Husk Ash and Municipal Solid Waste Incineration Ash

  • Sura Shamkhi Altaher,
  • Nor Hasanah Abdul Shukor Lim,
  • Nor Fazlin Zamri,
  • Iman Faridmehr and
  • Ghasan Fahim Huseien

Infrastructure development increasingly requires sustainable construction materials, with waste utilization serving as a key strategy to address this need. Employing eco-friendly materials with enhanced engineering properties not only mitigates the e...

  • Article
  • Open Access
398 Views
28 Pages

This study quantifies shear and flexural stiffnesses and their changes over time to support structural health monitoring of in-service bridge superstructures across four girder types: reinforced concrete (RC) beams, prestressed concrete (PSC) girders...

  • Article
  • Open Access
390 Views
18 Pages

Effects of Granular Material Deposition on the Road’s Stormwater Drainage System

  • Francesco Abbondati,
  • Carlo Gualtieri,
  • Salvatore Antonio Biancardo and
  • Gianluca Dell’Acqua

Travel safety and comfort depend on the design and maintenance of road and stormwater drainage systems. In low-lying areas, poor drainage systems can—especially near underpasses—lead to flooding and serious risks, such as reduced load-bea...

  • Article
  • Open Access
407 Views
19 Pages

Assessing Infrastructure Readiness of Controlled-Access Roads in West Bangkok for Autonomous Vehicle Deployment

  • Vasin Kiattikomol,
  • Laphisa Nuangrod,
  • Arissara Rung-in and
  • Vanchanok Chuathong

The deployment of autonomous vehicles (AVs) depends on the readiness of both physical and digital infrastructure. However, existing national and city-level indices often overlook deficiencies along specific routes, particularly in developing contexts...

  • Article
  • Open Access
283 Views
18 Pages

The dynamic modulus of asphalt mixtures (|E*|) is a key mechanical parameter in the design of road pavements, yet direct laboratory testing is time- and resource-intensive. This study evaluates two predictive models for estimating |E*| using data fro...

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Infrastructures - ISSN 2412-3811