SYNERGIZING BUILDING DATA AND SEISMIC RISK: AN AUTOMATED BIM-BASED DESIGN APPROACH

In recent years, BIM (Building Information Modeling) methodologies have become an essential and effective tool for managing a civil engineering project in all its stages.BIM technology provides comprehensive digital insights into a building or infrastructure's structural and non-structural elements.This study introduces a practical, BIM-based framework designed to serve as an intuitive decision-support tool, enabling seismic risk-aware design choice from the early stages of the project.The framework combines a BIM model with seismic risk data such as fragility curves and hazard curves.The process begins with inserting a generic placeholder component into the BIM model.The system then identifies possible alternatives with predefined fragility parameters and calculates seismic risk using locationspecific hazard curves.An acceptable risk threshold is defined by the user, and the component with the lowest cost that meets this threshold is selected and automatically updated in the model.The current implementation is focused on MEP components and demonstrated through a case study involving a diesel generator in a wastewater pumping station.Results highlight the benefits of shifting seismic design considerations to early stages.While the current study operates at the component level, future work aims to expand the framework to analyse whole systems and incorporate multi-hazard scenarios.The presented approach enhances the integration of risk and cost into early design, supporting more resilient and efficient infrastructure planning.

Authors

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.22260/ccc2025/0008
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SYNERGIZING BUILDING DATA AND SEISMIC RISK: AN AUTOMATED BIM-BASED DESIGN APPROACH

Alon Urlainis, Shabtai Isaac, Roee Levy
BIM and Construction Integration
article

SYNERGIZING BUILDING DATA AND SEISMIC RISK: AN AUTOMATED BIM-BASED DESIGN APPROACH

Alon Urlainis, Shabtai Isaac, Roee Levy
article en

Abstract

In recent years, BIM (Building Information Modeling) methodologies have become an essential and effective tool for managing a civil engineering project in all its stages.BIM technology provides comprehensive digital insights into a building or infrastructure's structural and non-structural elements.This study introduces a practical, BIM-based framework designed to serve as an intuitive decision-support tool, enabling seismic risk-aware design choice from the early stages of the project.The framework combines a BIM model with seismic risk data such as fragility curves and hazard curves.The process begins with inserting a generic placeholder component into the BIM model.The system then identifies possible alternatives with predefined fragility parameters and calculates seismic risk using locationspecific hazard curves.An acceptable risk threshold is defined by the user, and the component with the lowest cost that meets this threshold is selected and automatically updated in the model.The current implementation is focused on MEP components and demonstrated through a case study involving a diesel generator in a wastewater pumping station.Results highlight the benefits of shifting seismic design considerations to early stages.While the current study operates at the component level, future work aims to expand the framework to analyse whole systems and incorporate multi-hazard scenarios.The presented approach enhances the integration of risk and cost into early design, supporting more resilient and efficient infrastructure planning.

Climate action
Openalex Percentile: Top 78%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SYNERGIZING BUILDING DATA AND SEISMIC RISK: AN AUTOMATED BIM-BASED DESIGN APPROACH — Alon Urlainis, Shabtai Isaac, et al. · (2025) | TGRS Research Map | TGRS