Civil Engineering for a Sustainable Future: Innovations and Strategies
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 113
Special Issue Editor
Interests: structural health monitoring; structural and human dynamics; sensing technology; vibration and noise measurement; vibration and noise control; vibration isolation; vibration and noise serviceability; smart transportation; smart manufacture and operation; energy harvesting; data-driven modelling; big data analysis; artificial intelligence; machine learning; vision-based sensing and image processing; finite element modelling and model updating; digital twin; nonlinear dynamic and analysis
Special Issue Information
Dear Colleagues,
Scope and Purpose of the Special Issue:
This Special Issue aims to explore the interconnected challenges of sustainability through the lens of advanced engineering technologies, focusing on how smart systems and data-driven methodologies can mitigate environmental, socio-economic, and cultural issues. The scope will cover a broad range of sustainability challenges, including air and water pollution, climate change, resource overuse, and the degradation of ecosystems. Key topics include the role of renewable energy, sustainable transportation, and energy harvesting in reducing environmental footprint. It will also address the impacts of urbanisation, industrial development, and globalisation on cultural and social sustainability.
The purpose of this Special Issue is to highlight how technological innovations, particularly in areas such as structural health monitoring, vibration control, and data analytics, can contribute to more sustainable infrastructure and systems. By integrating smart transportation, energy-efficient manufacturing, and real-time monitoring, this Special Issue will offer a comprehensive view of how engineering solutions can support sustainable development goals.
Relationship to Existing Literature:
This Special Issue will complement the existing literature by providing an interdisciplinary approach that connects technological advances with sustainability challenges. While much research focuses on individual aspects of sustainability, this Special Issue will bridge gaps by incorporating structural engineering, data science, and sustainability practises. By exploring new methods like artificial intelligence (AI), machine learning, and digital twins, it will add depth to the understanding of how these technologies can address both environmental and socio-cultural aspects of sustainability.
Contribution to Sustainability:
This Special Issue will contribute to Sustainability by exploring solutions that minimise environmental impact, improve resource efficiency, and enhance human well-being. It will emphasise smart systems and their ability to provide data-driven insights into sustainability, with a particular focus on reducing carbon emissions, optimising energy use, and preserving ecosystems. By showcasing innovative approaches in structural health monitoring, vibration control/isolation integrating energy harvesting, and sustainable energy, this Special Issue will provide actionable insights for both policy makers and industry professionals working toward more sustainable and resilient systems.
Dr. Wai-Kei Ao
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- sustainability challenges
- smart systems
- structural health monitoring
- energy harvesting
- vibration and noise control
- data-driven modelling
- sustainable transportation
- smart manufacturing
- environmental impact reduction
- machine learning for sustainability
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