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Risk Assessment and Structural Optimization of Sustainable Civil Engineering

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 13 June 2026 | Viewed by 533

Special Issue Editors

School of Civil Engineering, Southwest Jiaotong University, Chengdu 614202, China
Interests: impact and dynamics; protective structure; structural seismic resistance
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Guest Editor
School of Civil Engineering, Southwest Jiaotong University, Chengdu 614202, China
Interests: sustainable bamboo engineering; hybrid timber-bamboo systems; resilient spatial structures; intelligent seismic control; multi-hazard mitigation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil Engineering, Southwest Jiaotong University, Chengdu 614202, China
Interests: engineering structures design driven by generative AI; optimization methods

Special Issue Information

Dear Colleagues,

It is our pleasure to announce a new Special Issue “Risk Assessment and Structural Optimization of Sustainable Civil Engineering” in the journal Sustainability. The scientific background and contributions of this Special Issue are outlined below.

Climate change, rapid urbanization, and resource scarcity necessitate a paradigm shift toward sustainable civil infrastructure, while extreme loads due to man-made and natural disasters are still the primary threat to those structures. Integrating risk resilience and structural efficiency is critical to achieving the UN Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities). This Special Issue addresses the urgent need for interdisciplinary research bridging advanced risk modeling, long-term performance optimization, and lifecycle sustainability in civil engineering.

This Special Issue focuses on advancing structural performance design and optimization as a cornerstone of sustainable civil engineering. Its primary aim is to explore cutting-edge technical methodologies to enhance the resistance, resilience, and durability of structures and infrastructure. By prioritizing these performance metrics, we seek to extend the service life of critical infrastructure, reduce lifecycle maintenance demands, and minimize environmental impacts from premature degradation or reconstruction.

The scope of this Special Issue aligns deeply with Sustainability’s mission to publish interdisciplinary research that bridges engineering innovation with sustainable development. Structural resistance (e.g., against seismic, wind, or impact loads), resilience (e.g., rapid recovery from extreme events), and durability (e.g., long-term performance under aging, corrosion or climate stress) are critical to achieving resource-efficient, low-carbon infrastructure, which are key tenets of the UN SDGs. By addressing how advanced design and optimization strategies directly improve infrastructure longevity, this Special Issue contributes to the journal’s focus on actionable sustainability solutions that balance technical excellence with environmental and societal responsibility.

We invite original research articles and critical reviews on topics related (but not limited) to the following:

  • AI-driven multi-hazard risk assessment for infrastructure under climate extremes;
  • Digital-twin-enabled structural health monitoring and resilience enhancement;
  • Machine learning for predictive maintenance of aging sustainable infrastructure;
  • Multi-objective optimization balancing cost, safety, and embodied carbon;
  • Resilience quantification of civil engineering under natural hazards;
  • Performance design and evaluation of protection structures for infrastructures;
  • Optimization of low-carbon concrete and bio-based composites in structural design;
  • Multi-scale performance optimization and sustainability enhancement of bio-based green building materials (bamboo/timber);
  • Synergistic design of bio-based steel composite systems and applications in civil infrastructures;
  • Advanced technology-driven innovative design and resilient applications of bio-based structures;
  • Intelligent design of engineering structures;
  • Engineering structural optimization.

Dr. Hu Xu
Dr. Ming Zhang
Dr. Wenjie Liao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable infrastructure
  • bio-based composites
  • extreme environments
  • interface engineering
  • durability enhancement
  • natural hazards
  • protection structures
  • generative AI
  • engineering structural design
  • design optimization
  • intelligent structural analysis

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Published Papers (1 paper)

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Research

27 pages, 7637 KB  
Article
Study on the Indoor Thermal Environment of Prefabricated Railway Buildings in High-Altitude Cold Regions for Sustainable Development
by Hui Li, Lintao Ma, Haojie Zhang, Zhixiang Yu and Hu Xu
Sustainability 2026, 18(10), 4667; https://doi.org/10.3390/su18104667 - 8 May 2026
Viewed by 216
Abstract
Prefabricated buildings offer high industrialization, construction efficiency, and sustainability benefits, making them particularly well suited for adverse construction conditions. As railway networks expand into western China’s high-altitude regions, prefabricated structures have been increasingly adopted for living quarters along railway lines in cold, high-altitude [...] Read more.
Prefabricated buildings offer high industrialization, construction efficiency, and sustainability benefits, making them particularly well suited for adverse construction conditions. As railway networks expand into western China’s high-altitude regions, prefabricated structures have been increasingly adopted for living quarters along railway lines in cold, high-altitude areas. This study proposes a method that accounts for thermal-bridge effects by using the average thermal transmittance coefficient Km and the linear thermal transmittance ψ calculated via two-dimensional steady-state simulations with PTemp software. The approach was validated against 48 h field measurements from a prefabricated building in Weinan: the model incorporating thermal bridges reduced the mean temperature error from 15.6% to 7.74%, confirming its accuracy. Using DeST software, the indoor thermal environment of a railway living-quarter building in the Ganzi region was simulated. Results show that south-facing rooms have an average temperature 2.3 °C higher than north-facing rooms and a 17.74% lower annual discomfort time. Building orientation, south-facing window-to-wall ratio, and envelope thermal transmittance significantly affect overall indoor temperature and energy consumption. The optimal orientation range is 15–45° west of south, and the least favorable range is 135–165°. A south-facing WWR of 0.35–0.45 and an exterior wall insulation thickness of 60–120 mm are recommended. For the typical high-altitude locations Litang, Batang, Qamdo, Nyingchi, Lhasa, and Ganzi, region-specific optimal parameters are provided: exterior wall Km values range from 0.10 to 0.65 W/(m2·K) and window K values from 1.0 to 3.0 W/(m2·K), depending on the local solar radiation and altitude. These findings offer quantitative design guidance for improving indoor thermal comfort and reducing energy use in prefabricated railway buildings on the western Sichuan and Tibetan plateaus. Full article
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