Advancing Infrastructure Resilience: Integrating Digital Engineering Innovations and Sustainable Construction Methodologies
DOI:
https://doi.org/10.71285/icpt.v2i1.55Ключевые слова:
Digital engineering, Infrastructure resilience, Digital twins, Sustainable construction, Building Information ModelingАннотация
The resilience of infrastructure has become a critical need with natural hazards, cyber threats, climate change, interconnected failures, and increased service needs to infrastructure. The digital engineering innovations and sustainable construction approaches are analyzed to develop an integrated solution for enhancing infrastructure performance, adaptability and recovery. The Building Information Modeling, digital twins, Geographic Information Systems, Internet of Things sensing, artificial intelligence, simulation and data driven resilience assessment are given special attention. These technologies enable continuous monitoring, predictive maintenance, scenario analysis, recovery scheduling, asset management, and coordinated decision making for the entire infrastructure lifecycle. Digital engineering embraces sustainable construction principles such as resource efficiency, waste reduction, lifecycle assessment, and lifecycle costing, tackling operational resilience, environmental and economic performance. Integrated approaches to digital have the promise of enhanced service continuity, faster recovery times, less rework and better resource allocation, as seen in applications across the transportation, utilities, modular construction, urban planning, flood management and interconnected infrastructure sectors. Measuring resilience requires a connection between the digital capabilities and measurable objectives of service, flexibility, exposure, and recovery. The analysis shows that infrastructure resilience encompasses more than just a structural property; it is an outcome of a lifecycle and systems. Future development should focus on interoperable digital ecosystems, validated digital twins, standardised resilience measures, capability of the workforce and ongoing real world testing. Digital engineering and sustainable construction can therefore help to develop infrastructure that is safer, more flexible, resource efficient and able to continue to provide services under varying and uncertain circumstances.
Библиографические ссылки
E. Karan, S. Asgari, and A. Rashidi, "A Markov Decision Process Workflow for Automating Interior Design," KSCE J. Civ. Eng., vol. 25, pp. 3199–3212, 2021, doi: 10.1007/s12205-021-1272-6.
C. Zhang, J. Chen, X. Sun, and A. Hammad, "Lifecycle Evaluation of Building Sustainability Using BIM and RTLS," in Proc. Winter Simul. Conf., Savanah, GA, USA, Dec. 2014, pp. 3236–3247, doi: 10.1109/WSC.2014.7020159.
M. R. Minhas and V. Potdar, "Decision Support Systems in Construction: A Bibliometric Analysis," Buildings, vol. 10, p. 108, 2020, doi: 10.3390/buildings10060108.
T. Vilutienė, E. Šarkienė, V. Šarka, and A. Kiaulakis, "BIM Application in Infrastructure Projects," Balt. J. Road Bridge Eng., vol. 15, pp. 74–92, 2020, doi: 10.7250/bjrbe.2020-15.485.
A. Mohammed and N. Akter, "Development of a System-Multi Criteria Analysis on Erosion and Sediment Control in Construction Industry," Journal of Knowledge Learning and Science Technology, vol. 4, no. 4, pp. 127–133, 2025, doi: 10.60087/jklst.vol4.n4.014.
C. N. Leonidou and L. C. Leonidou, "Research into Environmental Marketing/Management: A Bibliographic Analysis," Eur. J. Mark., vol. 45, pp. 68–103, 2011, doi: 10.1108/03090561111095603.
G. M. Peterson, "Characteristics of Retracted Open Access Biomedical Literature: A Bibliographic Analysis," J. Am. Soc. Inf. Sci. Technol., vol. 64, pp. 2428–2436, 2013, doi: 10.1002/asi.22944.
W. Liu, A. Nanetti, and S. A. Cheong, "Knowledge Evolution in Physics Research: An Analysis of Bibliographic Coupling Networks," PLoS ONE, vol. 12, p. e0184821, 2017, doi: 10.1371/journal.pone.0184821.
M. J. Cobo, A. G. López-Herrera, E. Herrera-Viedma, and F. Herrera, "Science Mapping Software Tools: Review, Analysis, and Cooperative Study among Tools," J. Am. Soc. Inf. Sci., vol. 62, pp. 1382–1402, 2011, doi: 10.1002/asi.21525.
Z. Ding, K. Zheng, and Y. Tan, "BIM Research vs BIM Practice: A Bibliometric-Qualitative Analysis from China," ECAM, 2021, ahead-of-print, doi: 10.1108/ECAM-01-2021-0071.
N. Akter, "Adoption and Effectiveness of AI-Enabled Digital Inspection Systems for Infrastructure Safety and Construction Quality Assurance," Applied IT & Engineering, vol. 1, no. 1, pp. 1–15, 2023, doi: 10.25163/engineering.1110699.
Y. Yılmaz and S. Seyis, "Mapping the Scientific Research of the Life Cycle Assessment in the Construction Industry: A Scientometric Analysis," Build. Environ., vol. 204, p. 108086, 2021, doi: 10.1016/j.buildenv.2021.108086.
Y. Liu, X. Liu, and L. Zhao, "Visualization Analysis of BIM Research Hotspot and Evolutional Trend," IOP Conf. Ser. Earth Environ. Sci., vol. 371, p. 022025, 2019, doi: 10.1088/1755-1315/371/2/022025.
J. Deng, C. Chen, and W. Gong, "Research on Construction Projects from a Social Network Perspective: Based on Knowledge Graph Analysis," E3S Web Conf., vol. 248, p. 03019, 2021, doi: 10.1051/e3sconf/202124803019.
W. Qiuyu and G. Zhiqi, "Research on the Integration of Prefabricated Building and BIM Based on Bibliometrics," E3S Web Conf., vol. 253, p. 02091, 2021, doi: 10.1051/e3sconf/202125302091.
Y. Natarajan, S. P. K. R, G. Wadhwa, Y. Choi, Z. Chen, D.-E. Lee, and Y. Mi, "Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction," Sustainability, vol. 16, no. 5, p. 1925, 2024, doi: 10.3390/su16051925.
J. Kleinberg, "Bursty and Hierarchical Structure in Streams," in Proc. 8th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, Edmonton, AB, Canada, Jul. 2002, doi: 10.1145/775047.775061.
M. Marzouk and M. Metawie, "Framework for Sustainable Low-Income Housing Projects in Egypt," in Proc. Comput. Civil Build. Eng., Orlando, FL, USA, Jun. 2014, pp. 1960–1968, doi: 10.1061/9780784413616.243.
M. Marzouk, S. Azab, and M. Metawie, "BIM-Based Approach for Optimizing Life Cycle Costs of Sustainable Buildings," J. Clean. Prod., vol. 188, pp. 217–226, 2018, doi: 10.1016/j.jclepro.2018.03.280.
F. Shadram and J. Mukkavaara, "An Integrated BIM-Based Framework for the Optimization of the Trade-off between Embodied and Operational Energy," Energy Build., vol. 158, pp. 1189–1205, 2018, doi: 10.1016/j.enbuild.2017.11.017.
S. Liu, "Sustainable Building Design Optimization Using Building Information Modeling," in Proc. ICCREM, Luleå, Sweden, Sep. 2015, pp. 326–335, doi: 10.1061/9780784479377.038.
P. Inyim, J. Rivera, and Y. Zhu, "Integration of Building Information Modeling and Economic and Environmental Impact Analysis to Support Sustainable Building Design," J. Manag. Eng., vol. 31, p. A4014002, 2015, doi: 10.1061/(ASCE)ME.1943-5479.0000308.
M. R. Asl, A. Stoupine, S. Zarrinmehr, and W. Yan, "Optimo: A BIM-Based Multi-Objective Optimization Tool Utilizing Visual Programming for High Performance Building Design," in Proc. eCAADe 2015, Vienna, Austria, Sep. 2015, doi: 10.52842/conf.ecaade.2015.1.673.
E. Bin Alam and N. Akter, "Climate-Resilient Urban Infrastructure for Disaster-Risk Reduction and Sustainable Community Development," Central Asian Journal of Theoretical and Applied Science, vol. 3, no. 9, pp. 455–464, Sep. 2022. [Online]. Available: https://cajotas.casjournal.org/index.php/CAJOTAS/article/view/1692
W. Yan, M. R. Asl, Z. Su, and J. Altabtabai, "Towards Multi-Objective Optimization for Sustainable Buildings with Both Quantifiable and Non-Quantifiable Design Objectives," in Proc. Sustainable Human-Building Ecosystems, Pittsburgh, PA, USA, Oct. 2015, pp. 223–230, doi: 10.1061/9780784479681.024.
H. Liu, G. Singh, M. Lu, A. Bouferguene, and M. Al-Hussein, "BIM-Based Automated Design and Planning for Boarding of Light-Frame Residential Buildings," Autom. Constr., vol. 89, pp. 235–249, 2018, doi: 10.1016/j.autcon.2018.02.001.
S. Eleftheriadis, P. Duffour, and D. Mumovic, "BIM-Embedded Life Cycle Carbon Assessment of RC Buildings Using Optimised Structural Design Alternatives," Energy Build., vol. 173, pp. 587–600, 2018, doi: 10.1016/j.enbuild.2018.05.042.
M. T. I. Talukder and N. Akter, "Digital Transformation of the Construction Design Based on the Building Information Modelling," Innovative: International Multidisciplinary Journal of Applied Technology, vol. 2, no. 8, pp. 297–305, 2024, doi: 10.51699/5hx55f53.
H. Liu, C. Sydora, M. S. Altaf, S. Han, and M. Al-Hussein, "Towards Sustainable Construction: BIM-Enabled Design and Planning of Roof Sheathing Installation for Prefabricated Buildings," J. Clean. Prod., vol. 235, pp. 1189–1201, 2019, doi: 10.1016/j.jclepro.2019.07.055.
N. Akter and E. Bin Alam, "Evaluation of Low-Rise Reinforced Concrete Structures for Seismic Damage Based on Performance for Earthquake Resilience," Journal of Primeasia, vol. 2, no. 1, pp. 1–10, 2021, doi: 10.25163/primeasia.2110766.
V. J. L. Gan, I. M. C. Lo, K. T. Tse, C. L. Wong, J. C. P. Cheng, and C. M. Chan, "BIM-Based Integrated Design Approach for Low Carbon Green Building Optimization and Sustainable Construction," in Proc. Comput. Civil Eng., Atlanta, GA, USA, Jun. 2019, pp. 417–424, doi: 10.1061/9780784482421.053.
P. Santiago, "Evolutionary Optimization of Building Facade Form for Energy and Comfort in Urban Environment through BIM and Algorithmic Modeling: A Case Study in Porto, Portugal," in Proc. Blucher Design Proc., Porto, Portugal, Dec. 2019, pp. 153–160, doi: 10.5151/proceedings-ecaadesigradi2019_464.
F. Jalaei, F. Jalaei, and S. Mohammadi, "An Integrated BIM-LEED Application to Automate Sustainable Design Assessment Framework at the Conceptual Stage of Building Projects," Sustain. Cities Soc., vol. 53, p. 101979, 2020, doi: 10.1016/j.scs.2019.101979.
N. Akter and M. Y. Almunshi, "Practitioner Perceptions of Green Infrastructure for Urban Stormwater Management and Flood Mitigation in the United States: A Cross-Sectional Survey of Awareness, Effectiveness, Adoption, and Barriers," Energy Environment and Economy, vol. 3, no. 1, pp. 1–13, 2025, doi: 10.25163/energy.3110767.
J. Starynina and L. Ustinovichius, "A Multi-Criteria Decision-Making Synthesis Method to Determine the Most Effective Option for Modernising a Public Building," Technol. Econ. Dev. Econ., vol. 26, pp. 1237–1262, 2020, doi: 10.3846/tede.2020.13398.
S. Wu, N. Zhang, X. Luo, and W.-Z. Lu, "Intelligent Optimal Design of Floor Tiles: A Goal-Oriented Approach Based on BIM and Parametric Design Platform," J. Clean. Prod., vol. 299, p. 126754, 2021, doi: 10.1016/j.jclepro.2021.126754.
C. Vite and R. Morbiducci, "Optimizing the Sustainable Aspects of the Design Process through Building Information Modeling," Sustainability, vol. 13, no. 6, p. 3041, 2021, doi: 10.3390/su13063041.
M. H. Mehraban, A. A. Alnaser, and S. M. E. Sepasgozar, "Building Information Modeling and AI Algorithms for Optimizing Energy Performance in Hot Climates: A Comparative Study of Riyadh and Dubai," Buildings, vol. 14, no. 9, p. 2748, 2024, doi: 10.3390/buildings14092748.
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