Cross-Domain Insights into Cultural Heritage Conservation

  • Authors

    • Amina Bello HR Manager, Dangote Group, Nigeria. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2021PII4Z8K

    Published 08-05-2021

  • Cultural Heritage Conservation, Cross-Domain Integration, Structural Health Monitoring, Digital Heritage, Sustainability Index, Risk Assessment, Multidisciplinary Conservation, Heritage Engineering, Smart Preservation Systems

    Issue

    Vol. 4 No. 2 (2021)

    Section

    Articles

    How to Cite

    [1]
    A. Bello, “Cross-Domain Insights into Cultural Heritage Conservation”, IJETMR, vol. 4, no. 2, pp. 01–14, Aug. 2021, doi: 10.67228/30715636/IJETMR-2021PII4Z8K.

  • Abstract

    Cultural heritage conservation has evolved into an interdisciplinary field integrating art history, materials science, civil engineering, environmental science, digital technologies, and socio-economic studies. Amid globalization, climate change, and rapid urbanization, cross-domain preservation strategies are essential to safeguard both tangible and intangible heritage. This paper examines the theoretical evolution of conservation science toward interdisciplinary integration and reviews advancements in material diagnostics, structural retrofitting, environmental modeling, digital heritage documentation, and conservation economics. A comprehensive methodology combining multi-criteria decision analysis (MCDA), sensor-based diagnostics, digital twin modeling, sustainability indexing, and risk probability assessment is proposed. Quantitative performance indicators—including Structural Stability Index (SSI), Material Degradation Rate (MDR), Environmental Vulnerability Factor (EVF), and Community Engagement Score (CES)—are developed to evaluate conservation outcomes. Results demonstrate that cross-domain integration significantly improves structural resilience, reduces material deterioration, optimizes lifecycle costs, and enhances stakeholder engagement compared to traditional single-domain approaches. The study concludes by recommending adaptive, data-driven, and sustainability-oriented conservation frameworks aligned with international heritage management standards. Future directions include AI-enabled predictive conservation, carbon-neutral preservation strategies, and decentralized digital heritage systems.

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