International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
[email protected]•+91-7433024337

Home / Current Issue / Paper 1724166

1724166 Vol 10 · Issue 4 Download Paper

Digital Structural Engineering for Resilient Saudi Infrastructure: Integrating ETABS, SAP2000 and BIM-Based Analysis for Retrofit and Expansion Projects

Mohammed Abdul Rahman

Subject area: Science,Engineering and Technology  ·  Area of research: BIM-Based Structural Retrofit Analysis

DOI: 10.64388/IREV10I4-1724166

Abstract

Expansion and adaptation of existing Saudi infrastructure require credible analysis of changing structural capacity without sacrificing construction safety or operational continuity. This critical review examines how ETABS, SAP2000 and building information modelling can be combined for the assessment, strengthening and extension of buildings and associated civil assets. Thirty DOI-linked publications from 2020–2025 were synthesised through an evidence-led thematic method covering model exchange, existing-condition intelligence, nonlinear response, construction staging, monitoring and organisational implementation. The reviewed evidence indicates that digital integration is valuable only when geometric and analytical models remain distinguishable, transfers are verified, and uncertainty in as-built conditions is explicitly retained. A proposed assurance framework links survey evidence, controlled model translation, independent structural checks, stage-specific design and measured performance. The paper contributes practical decision gates for Saudi retrofit programmes and identifies unanswered questions concerning interface validation, model ownership and locally calibrated performance benchmarks. Findings are interpretative rather than the results of a new simulation or field trial.

Keywords

digital structural engineering; ETABS; SAP2000; building information modelling; structural retrofit; staged construction; Saudi Arabia; infrastructure resilience

References

[1] Shoieb K, Serror MH, Marzouk M. Web-based tool for interoperability among structural analysis applications. Journal of Construction Engineering and Management. 2020;146(6):04020058. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001840

[2] Wu J, Sadraddin HL, Ren R, Zhang J, Shao X. Invariant signatures of architecture, engineering, and construction objects to support BIM interoperability between architectural design and structural analysis. Journal of Construction Engineering and Management. 2021;147(1). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001943

[3] Sampaio AZ, Gomes AM. BIM interoperability analyses in structure design. CivilEng. 2021;2(1):174–192. https://doi.org/10.3390/civileng2010010

[4] İlipınar D, Ay BÖ, Pekeriçli MK. Comparison of data integration methods in BIM tools for structural engineering: An evaluation through structural analysis tools. Gazi University Journal of Science. 2025;38(3):1062–1078. https://doi.org/10.35378/gujs.1380649

[5] Huda S, Roesdiana T. Evaluation of BIM interoperability for structural analysis and design of multi-storey buildings. Jurnal Pensil. 2025;14(3):415–428. https://doi.org/10.21009/jpensil.v14i3.56385

[6] Shishlov AS, Costin AM, Davidson MT. Integration of building information modeling interoperability into nonlinear finite element analysis of bridge substructures. Transportation Research Record. 2023;2677(10). https://doi.org/10.1177/03611981231160172

[7] Gartoumi KI, Zaki S, Aboussaleh M. Building information modelling (BIM) interoperability for architecture and engineering (AE) of the structural project: A case study. Materials Today: Proceedings. 2023. https://doi.org/10.1016/j.matpr.2023.05.408

[8] Ursini A, Grazzini A, Matrone F, Zerbinatti M. From scan-to-BIM to a structural finite elements model of built heritage for dynamic simulation. Automation in Construction. 2022;142:104518. https://doi.org/10.1016/j.autcon.2022.104518

[9] Musella C, Serra M, Menna C, Asprone D. Building information modeling and artificial intelligence: Advanced technologies for the digitalisation of seismic damage in existing buildings. Structural Concrete. 2021;22(5):2761–2774. https://doi.org/10.1002/suco.202000029

[10] Caterino N, Nuzzo I, Ianniello A, Varchetta G, Cosenza E. A BIM-based decision-making framework for optimal seismic retrofit of existing buildings. Engineering Structures. 2021;242:112544. https://doi.org/10.1016/j.engstruct.2021.112544

[11] Kulthanaphanich Y, Permata R, Lin SY. Life cycle assessment of integrated energy and seismic retrofits for existing buildings. Journal of Building Engineering. 2025;108:112967. https://doi.org/10.1016/j.jobe.2025.112967

[12] Zhang C, Shu J, Zhang H, Ning Y, Yu Y. Estimation of load-carrying capacity of cracked RC beams using 3D digital twin model integrated with point clouds and images. Engineering Structures. 2024;310:118126. https://doi.org/10.1016/j.engstruct.2024.118126

[13] Chen D, Kim CW, Yoshida E, Sim C. Enhancing structural damage evaluation of PC girder bridges through digital twinning Bayesian model updating. Engineering Structures. 2024;321:118974. https://doi.org/10.1016/j.engstruct.2024.118974

[14] Hu X, Olgun G, Assaad RH. An intelligent BIM-enabled digital twin framework for real-time structural health monitoring using wireless IoT sensing, digital signal processing, and structural analysis. Expert Systems with Applications. 2024;article 124204. https://doi.org/10.1016/j.eswa.2024.124204

[15] Sun L, Sun H, Zhang W, Li Y. Hybrid monitoring methodology: A model-data integrated digital twin framework for structural health monitoring and full-field virtual sensing. Advanced Engineering Informatics. 2024;60:102386. https://doi.org/10.1016/j.aei.2024.102386

[16] Zheng Y, Chen S, Cai E, Wang F, Qu Z, et al. Computer vision-based reliability analysis in digital twinning for structural dynamic safety assessment. Engineering Structures. 2025;326:119532. https://doi.org/10.1016/j.engstruct.2024.119532

[17] Jiang J, Xiong C, Xu Z, et al. Game engine-empowered digital twin for seismic damage simulation of buildings. Engineering Structures. 2025;330:119839. https://doi.org/10.1016/j.engstruct.2025.119839

[18] Shen Z, Wu J, Cao Y. A dual-adaptive directed genetic algorithm for construction scheduling. Journal of Building Engineering. 2024;96:110659. https://doi.org/10.1016/j.jobe.2024.110659

[19] Jung Y, Hockenmaier J, Golparvar-Fard M. Transformer language model for mapping construction schedule activities to uniformat categories. Automation in Construction. 2024:105183. https://doi.org/10.1016/j.autcon.2023.105183

[20] Tian Y, Chen C, Sagoe-Crentsil K, Zhang J, Duan W. Intelligent robotic systems for structural health monitoring: Applications and future trends. Automation in Construction. 2022;139:104273. https://doi.org/10.1016/j.autcon.2022.104273

[21] Wang J, You H, Qi X, Yang N. BIM-based structural health monitoring and early warning for heritage timber structures. Automation in Construction. 2022;144:104618. https://doi.org/10.1016/j.autcon.2022.104618

[22] Alaboud N, Alshahrani A. Adoption of building information modelling in the Saudi construction industry: An interpretive structural modelling. Sustainability. 2023;15(7):6130. https://doi.org/10.3390/su15076130

[23] Algahtany M, Radzi AR, Al-Mohammad MS, Rahman RA. Government initiatives for enhancing building information modeling adoption in Saudi Arabia. Buildings. 2023;13(9):2130. https://doi.org/10.3390/buildings13092130

[24] Alghuried A. Measuring the benefits and barriers of the implementation of BIM in sustainable practice in the construction industry of Saudi Arabia. Sustainability. 2023;15(19):14323. https://doi.org/10.3390/su151914323

[25] Almujibah H. Assessment of building information modeling (BIM) as a time and cost-saving construction management tool: Evidence from two-story villas in Jeddah. Sustainability. 2023;15(9):7354. https://doi.org/10.3390/su15097354

[26] Al-Mohammad MS, Haron AT, Rahman RA, Alhammadi Y. Factors affecting BIM implementation in Saudi Arabia: A critical analysis. International Journal of Building Pathology and Adaptation. 2025;43(5):951–976. https://doi.org/10.1108/IJBPA-09-2021-0122

[27] Alshibani A, Aldossary MS, Hassanain MA, Hamida H, Aldabbagh H, Ouis D. Investigation of the driving power of the barriers affecting BIM adoption in construction management through ISM. Results in Engineering. 2024;24:102987. https://doi.org/10.1016/j.rineng.2024.102987

[28] Liang H, Lee SC, Bae W, Kim J, Seo S. Towards UAVs in construction: Advancements, challenges, and future directions for monitoring and inspection. Drones. 2023;7(3):202. https://doi.org/10.3390/drones7030202

[29] Scuro C, Lamonaca F, Porzio S, Milani G, Olivito RS. Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems. Construction and Building Materials. 2021;290:123092. https://doi.org/10.1016/j.conbuildmat.2021.123092

[30] Figueiredo K, Pierott R, Hammad AWA, Haddad A. Sustainable material choice for construction projects: A life cycle sustainability assessment framework based on BIM and fuzzy-AHP. Building and Environment. 2021;196:107805. https://doi.org/10.1016/j.buildenv.2021.107805

How to cite this paper

Mohammed Abdul Rahman "Digital Structural Engineering for Resilient Saudi Infrastructure: Integrating ETABS, SAP2000 and BIM-Based Analysis for Retrofit and Expansion Projects" Iconic Research And Engineering Journals Volume 10 Issue 4 2026 Page 3090-3104 https://doi.org/10.64388/IREV10I4-1724166
Mohammed Abdul Rahman "Digital Structural Engineering for Resilient Saudi Infrastructure: Integrating ETABS, SAP2000 and BIM-Based Analysis for Retrofit and Expansion Projects" Iconic Research And Engineering Journals, vol. 10, no. 4, Oct. 2026, doi: https://doi.org/10.64388/IREV10I4-1724166
Mohammed Abdul Rahman (2026). Digital Structural Engineering for Resilient Saudi Infrastructure: Integrating ETABS, SAP2000 and BIM-Based Analysis for Retrofit and Expansion Projects. Iconic Research And Engineering Journals, 10(4). doi: https://doi.org/10.64388/IREV10I4-1724166
Mohammed Abdul Rahman "Digital Structural Engineering for Resilient Saudi Infrastructure: Integrating ETABS, SAP2000 and BIM-Based Analysis for Retrofit and Expansion Projects" Iconic Research And Engineering Journals, vol. 10, no. 4, Oct. 2026. Crossref, https://doi.org/10.64388/IREV10I4-1724166
@article{1724166,
      author = {Mohammed Abdul Rahman},
      title = {Digital Structural Engineering for Resilient Saudi Infrastructure: Integrating ETABS, SAP2000 and BIM-Based Analysis for Retrofit and Expansion Projects},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {4},
      pages = {3090-3104},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724166.pdf},
      abstract = {Expansion and adaptation of existing Saudi infrastructure require credible analysis of changing structural capacity without sacrificing construction safety or operational continuity. This critical review examines how ETABS, SAP2000 and building information modelling can be combined for the assessment, strengthening and extension of buildings and associated civil assets. Thirty DOI-linked publications from 2020–2025 were synthesised through an evidence-led thematic method covering model exchange, existing-condition intelligence, nonlinear response, construction staging, monitoring and organisational implementation. The reviewed evidence indicates that digital integration is valuable only when geometric and analytical models remain distinguishable, transfers are verified, and uncertainty in as-built conditions is explicitly retained. A proposed assurance framework links survey evidence, controlled model translation, independent structural checks, stage-specific design and measured performance. The paper contributes practical decision gates for Saudi retrofit programmes and identifies unanswered questions concerning interface validation, model ownership and locally calibrated performance benchmarks. Findings are interpretative rather than the results of a new simulation or field trial.},
      keywords = {digital structural engineering; ETABS; SAP2000; building information modelling; structural retrofit; staged construction; Saudi Arabia; infrastructure resilience},
      month = {October},
      doi = {https://doi.org/10.64388/IREV10I4-1724166}
  }