{"id":24341,"date":"2026-02-02T10:54:04","date_gmt":"2026-02-02T10:54:04","guid":{"rendered":"http:\/\/141.23.68.248\/wp\/?page_id=24341"},"modified":"2026-02-07T11:32:43","modified_gmt":"2026-02-07T11:32:43","slug":"retaining-wall-1-ontological-modelling","status":"publish","type":"page","link":"http:\/\/141.23.68.248\/wp\/?page_id=24341","title":{"rendered":"Retaining Wall 1"},"content":{"rendered":"\n

Focus<\/strong>
This assignment addresses retaining wall system from a functional and application-driven perspective, with particular attention to drainage, soil retention, erosion control, and flood mitigation.<\/p>\n\n\n\n

Objective<\/strong>
The main objective was to construct an ontology that supports retaining wall design and analysis under challenging environmental conditions such as heavy rainfall, flooding, landslides, and urban infrastructure constraints.<\/p>\n\n\n\n

Method<\/strong>
The ontology models retaining wall types, materials, loads, functions, and substructures using class hierarchies and logical axioms. Real-world engineering scenarios\u2014including riverbank protection, highway embankments, and landslide-prone hilly terrain\u2014were used to demonstrate how ontology-based reasoning supports material selection, wall type identification, and drainage system configuration.
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Outcome & Relevance<\/strong>
This work highlights the practical value of ontologies as decision-support tools for infrastructure planning in vulnerable regions. By linking functional requirements with structural solutions, the model enhances design robustness and supports safer, more resilient retaining wall systems.
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Details: Retaining Wall 1- Ontological Modelling<\/mark><\/strong><\/summary>\n