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A Multimodal Engineering GraphRAG Framework for Post-Wind-Event Building Assessment and Recovery Inference

Seyedeh Fatemeh Mirfakhar, Reda Snaiki, Rocio Lilen Segura · 2026 · arXiv

DOI: 10.48550/arXiv.2610.28216 · open-access PDF

Indonesian

Penilaian bangunan pasca-peristiwa memerlukan menghubungkan kerusakan fisik yang diamati dengan konsekuensi untuk keamanan, kemampuannya, fungsionalitas, dan pemulihan. Namun bukti pasca-peristiwa sering heterogen, tidak lengkap, dan didistribusikan di seluruh gambar dan laporan pengenalan, sementara model pemulihan biasanya membutuhkan input teknik terstruktur. Studi ini mengembangkan kerangka kerja multi-modal engineering Graph Retrieval-Augmented Generation (GraphRAG) yang menghubungkan bukti kerusakan pasca-peristiwa dengan konsekuensi fisik, kondisi bangunan, tindakan pemulihan, dan waktu henti.

Machine translation (Meta M2M100); the English original follows.

Abstract

Post-event building assessment requires linking observed physical damage to its consequences for safety, habitability, functionality, and recovery. Yet post-disaster evidence is often heterogeneous, incomplete, and distributed across images and reconnaissance reports, while recovery models typically require structured engineering inputs. This study develops a multimodal engineering Graph Retrieval-Augmented Generation (GraphRAG) framework that connects post-wind-event damage evidence to physical consequences, building-condition states, recovery actions, and downtime. Image- and text-based evid

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