Műegyetemi Digitális Archívum
 

Integrating Maintenance Into Seismic Risk Assessment: A Comprehensive Approach to Infrastructure Resilience

Date

Type

könyvfejezet

Language

en

Reading access rights:

Open access

Rights Holder

Szerző

Conference Date

2024.06.29.-2024.07.02

Conference Place

Praha, Czech Republic

Conference Title

Creative Construction Conference 2024

ISBN, e-ISBN

978-615-5270-78-9

Container Title

Proceedings of the Creative Construction Conference 2024

Department

Építéstechnológia és Menedzsment Tanszék

Version

Online

Faculty

Faculty of Architecture

Subject Area

Műszaki tudományok

Subject Field

építészmérnöki tudományok

Subject (OSZKAR)

Building Performance Indicator (BPI)
Infrastructure
Lifecycle Risk Assessment
Maintenance
Seismic Fragility Curves
Seismic Risk

Gender

Konferenciacikk

University

Budapest University of Technology and Economics

OOC works

Abstract

A severe seismic event can cause significant damage to infrastructure systems, leading to both direct and indirect severe consequences. Thus, a comprehensive risk management approach is essential for developing earthquake-resilient infrastructure. This study introduces an innovative approach to seismic risk assessment that incorporates maintenance considerations with seismic fragility curves. Our methodology distinctively quantifies the impact of maintenance conditions on seismic risk, providing insights into the dynamic evolution of risk associated with loose maintenance and accelerated deterioration. It suggests that the condition of infrastructure maintenance and its level of deterioration significantly influence seismic resilience. By integrating the Building Performance Indicator (BPI) with deterioration over time, the proposed approach assesses their combined effect on fragility curves to calculate the total risk over the infrastructure's lifecycle (TRLC – Total Risk over Life Cycle). We demonstrate this methodology through a case study of a low-voltage substation in Bik'at HaYarden, Israel. A Monte Carlo simulation was carried out to examine the particular conditions of the substation thoroughly. Additionally, a sensitivity analysis was carried out to better understand how maintenance conditions influence the TRLC over time. Our findings reveal a statistically significant correlation between infrastructure performance and maintenance condition, and their subsequent impact on the TRLC. Notably, we found that loose maintenance conditions significantly increase the uncertainties in seismic risk. This research offers researchers, stakeholders, and decision-makers a novel and comprehensive view on the critical role of maintenance in managing and mitigating seismic risk.

Description

Keywords