An Integrated Seismic Assessment Method for Urban Buildings and Roads

Siwei Zhang , Shuang Li , Changhai Zhai , Jia Xiao

International Journal of Disaster Risk Science ›› 2024, Vol. 15 ›› Issue (6) : 935 -953.

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International Journal of Disaster Risk Science ›› 2024, Vol. 15 ›› Issue (6) : 935 -953. DOI: 10.1007/s13753-024-00600-7
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An Integrated Seismic Assessment Method for Urban Buildings and Roads

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Abstract

Seismic simulation of urban buildings and roads is significant for regional pre-disaster mitigation and post-disaster recovery. To consider the interrelated influences of buildings and roads, an integrated seismic assessment method for urban buildings and roads is proposed. The seismic damages of buildings were assessed using various methods based on structural characteristics and different degrees of available building information. Both physical and topological characteristics of the road network are considered in the proposed method to determine post-earthquake road network traffic capacity. To quantitatively evaluate post-earthquake road network traffic capacity, we comprehensively considered the seismic damage to roads, blockages caused by earthquake-induced debris, and the potential risk of falling debris from damaged buildings. The proposed integrated seismic assessment method was applied to a real earthquake event to demonstrate its feasibility and effectiveness, and also applied to a real city, of which information on buildings and roads was based on open-source data and statistical data, to demonstrate its applicability. The proposed method provides a solid prediction on the seismic performance of urban buildings and road networks, serving as a reference for urban earthquake disaster rescue and relief.

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Siwei Zhang, Shuang Li, Changhai Zhai, Jia Xiao. An Integrated Seismic Assessment Method for Urban Buildings and Roads. International Journal of Disaster Risk Science, 2024, 15(6): 935-953 DOI:10.1007/s13753-024-00600-7

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References

[1]

AdaferS, BensaibiM. Seismic vulnerability classification of roads. Energy Procedia, 2017, 139: 624-630

[2]

ArgyroudisSA, Mitoulis, WinterMG, KayniaAM. Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience. Reliability Engineering & System Safety, 2019, 191: Article 106567

[3]

ArgyroudisS, SelvaJ, GehlP, PitilakisK. Systemic seismic risk assessment of road networks considering interactions with the built environment. Computer-Aided Civil and Infrastructure Engineering, 2015, 30(7): 524-540

[4]

BonoF, GutiérrezE. A network-based analysis of the impact of structural damage on urban accessibility following a disaster: The case of the seismically damaged Port Au prince and carrefour urban road networks. Journal of Transport Geography, 2011, 19(6): 1443-1455

[5]

BS En (British Standards Institution). Eurocode 1: Actions on structures—Part 2: Traffic loads on bridges BS EN 1991–2, 2003 London British Standards Institution

[6]

CastroS, PoulosA, HerreraJC, De la LleraJC. Modeling the impact of earthquake-induced debris on tsunami evacuation times of coastal cities. Earthquake Spectra, 2019, 35(1): 137-158

[7]

Chen, Z. 2022. Research on simulation method of urban buildings collapse in earthquake scenario based on physics. Master’s thesis. Institute of Engineering Mechanics, China Earthquake Administration (in Chinese).

[8]

CostaC, FigueiredoR, SilvaV, BazzurroP. Application of open tools and datasets to probabilistic modeling of road traffic disruptions due to earthquake damage. Earthquake Engineering & Structural Dynamics, 2020, 49(12): 1236-1255

[9]

FEMA (Federal Emergency Management Agency). Earthquake loss estimation methodology-HAZUS99 Technical manual FEMA, 1999 Wahsington National Institute of Building Science

[10]

FengK, LiQ, EllingwoodBR. Post-earthquake modelling of transportation networks using an agent-based model. Structure and Infrastructure Engineering, 2020, 16(11): 1578-1592

[11]

FirdausPS, MatsuzakiH, AkiyamaM, AokiK, FrangopolDM. Probabilistic connectivity assessment of bridge networks considering spatial correlations associated with flood and seismic hazards. Structure and Infrastructure Engineering, 2023, 20(3): 1-18

[12]

GautamD, RupakhetyR. Empirical seismic vulnerability analysis of infrastructure systems in Nepal. Bulletin of Earthquake Engineering, 2021, 19(14): 6113-6127

[13]

GollaPSA, BhattacharyaSP, GuptaS. The accessibility of urban neighborhoods when buildings collapse due to an earthquake. Transportation Research Part D: Transport and Environment, 2020, 86: Article 102439

[14]

Gong, L., Q. Li, M. Liu, and J. Zhang. 2012. Road damage detection from high-resolution RS image. In Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22–27 July 2012, Munich, Germany, 990–993.

[15]

Google LLC. (n.d.). Google Earth (Version 9.0). Software. https://www.google.com/earth/. Accessed 20 Apr 2024

[16]

Han, R., W. Shi, and D. Wei. 2011. Empirical formulas of multi-story masonry structure’s low order natural periods based on data acquired by pulsating tests. In Proceedings of the 20th Structural Engineering Conference of China, 4 November 2011, Ningbo, China (in Chinese).

[17]

HirokawaN, OsaragiT. Earthquake disaster simulation system: Integration of models for building collapse, road blockage, and fire spread. Journal of Disaster Research, 2016, 11: 175-187

[18]

HoriM, IchimuraT, MaddegedaraL. Integrated earthquake simulation, 2022 Boca Raton CRC Press

[19]

HuJ, JinC, ZhangH, HuL, WangZ. A ground motion synthesis method for matching multi-objective parameters. Engineering Mechanics, 2022, 39(3): 126-136

[20]

HuZ, SheuJ, XiaoL. Post-disaster evacuation and temporary resettlement considering panic and panic spread. Transportation Research Part B: Methodological, 2014, 69: 112-132

[21]

Huang, M. 2009. Seismic fragility, hazard and risk analysis of reinforced concrete continuous girder bridges. Master’s thesis, Harbin Institute of Technology, Harbin, China (in Chinese).

[22]

LinX, LiuX, HuR, ZhangL. Regional damage analysis and resilience evaluation of buildings in the epicenter region of 2014 Ludian Earthquake. Journal of Seismological Research No., 2020, 3(449–455): 601 (in Chinese)

[23]

LinX, ZhangH, ChenH, ChenH, LinJ. Field investigation on severely damaged aseismic buildings in 2014 Ludian Earthquake. Earthquake Engineering and Engineering Vibration, 2015, 14(1): 169-176 in Chinese)

[24]

Liu, X. 2021. Detailed earthquake damage simulation and earthquake damage risk assessment of Longtoushan Town buildings. Master’s thesis, Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China (in Chinese).

[25]

LuX, GuanH. Earthquake disaster simulation of civil infrastructures: From tall buildings to urban areas, 2022 2 Singapore Springer

[26]

MarascoS, NooriAZ, DomaneschiM, CimellaroGP. A computational framework for large-scale seismic simulations of residential building stock. Engineering Structures, 2021, 244: Article 112690

[27]

MattssonL, JeneliusE. Vulnerability and resilience of transport systems—A discussion of recent research. Transportation Research Part A: Policy and Practice, 2015, 81: 16-34

[28]

McKennaF. OpenSees: A framework for earthquake engineering simulation. Computing in Science & Engineering, 2011, 13(4): 58-66

[29]

MOHURD (Ministry of Housing and Urban-Rural Development of P. R. China). Code for seismic design of urban bridges (CJJ 166–2011), 2011 Beijing China Architecture and Building Press (in Chinese)

[30]

MOHURD (Ministry of Housing and Urban-Rural Development of P. R. China). Code for design of urban road engineering (CJJ 37–2012), 2012 Beijing China Architecture and Building Press (in Chinese)

[31]

MOHURD (Ministry of Housing and Urban-Rural Development of P. R. China). Code for seismic design of urban bridges (GB 50009–2012), 2012 Beijing China Architecture and Building Press (in Chinese)

[32]

MOHURD (Ministry of Housing and Urban-Rural Development of P. R. China). Code for seismic design of buildings [GB 50011–2010(2016)], 2016 Beijing China Architecture and Building Press (in Chinese)

[33]

MourouxP, BrunBL. Presentation of RISK-UE Project. Bulletin of Earthquake Engineering, 2006, 4(4): 323-339

[34]

MoyaL, MasE, YamazakiF, LiuW, KoshimuraS. Statistical analysis of earthquake debris extent from wood-frame buildings and its use in road networks in Japan. Earthquake Spectra, 2020, 36(1): 209-231

[35]

MylonasC, MitsakisE, KepaptsoglouK. Criticality analysis in road networks with graph-theoretic measures, traffic assignment, and simulation. Physica A: Statistical Mechanics and its Applications, 2023, 629: Article 129197

[36]

NishinoT, TanakaT, HokugoA. An evaluation method for the urban post-earthquake fire risk considering multiple scenarios of fire spread and evacuation. Fire Safety Journal, 2012, 54: 167-180

[37]

NRCC (National Research Council of Canada). 2010. Institute for Research in Construction (NRC/IRC). National building code of Canada 2010. Ottawa: NRCC.

[38]

OsaragiT, MorisawaT, OkiT. WeidmannU, KirschU, SchreckenbergM. Simulation model of evacuation behavior following a large-scale earthquake that takes into account various attributes of residents and transient occupants. Pedestrian and evacuation dynamics 2012, 2014 Cham Springer 469-484

[39]

PeiS, ZhaiC, HuJ, LiuJ, SongZ. Seismic functionality of healthcare network considering traffic congestion and hospital malfunctioning: A medical accessibility approach. International Journal of Disaster Risk Reduction, 2023, 97: Artcile 104019

[40]

QuagliariniE, BernardiniG, WazinskiC, SpalazziL, D’OrazioM. Urban scenarios modifications due to the earthquake: Ruins formation criteria and interactions with pedestrians’ evacuation. Bulletin of Earthquake Engineering, 2016, 14(4): 1071-1101

[41]

RavariZ, GhaziI, KahaniM. Study the vulnerability and blocking of streets after earthquake (Case study: Kerman Shariati and Shahid Beheshti Streets and Jomhuri Boulevard). International Journal of Health System and Disaster Management, 2016, 4: 25-30

[42]

SantarelliS, BernardiniG, QuagliariniE. Earthquake building debris estimation in historic city centres: From real world data to experimental-based criteria. International Journal of Disaster Risk Reduction, 2018, 31: 281-291

[43]

SharifiA. Resilient urban forms: A review of literature on streets and street networks. Building and Environment, 2019, 147: 171-187

[44]

SongJ, LiJ. Simulation on accessibility of post-earthquake urban transportation system. Journal of Natural Disasters No., 1996, 1: 73-78 (in Chinese)

[45]

TabataT, OnishiA, SaekiT, TsaiP. Earthquake disaster waste management reviews: Prediction, treatment, recycling, and prevention. International Journal of Disaster Risk Reduction, 2019, 36: Article 101119

[46]

TamimaU, ChouinardL. Systemic seismic vulnerability of transportation networks and emergency facilities. Journal of Infrastructure Systems, 2017

[47]

TianQ, MaD, WangW. Study on safety distance upper structure topping for buildings under earthquake. Journal of Safety Science and Technology, 2014, 9: 17-24 (in Chinese)

[48]

Wang, L. 2016. Study on influence distance of seismic overall collapse of building structure by simulation technology. Master’s thesis, Beijing University of Technology, Beijing, China (in Chinese).

[49]

WangD, WangX, XuJ, FengDC, XuS. Framework for calculating seismic fragility function of urban road networks: A case study on Tangshan City. China. Structure and Infrastructure Engineering, 2021, 17(11): 1508-1522

[50]

WangW, ZhangN, WangL, WangZ, MaD. A study of influence distance and road safety avoidance distance from post-earthquake building debris accumulation. Advances in Civil Engineering, 2020

[51]

WuY, XuZ, LiangC, SongR. Post-earthquake traffic simulation considering road traversability. Sustainability, 2022, 14(18): Article 11145

[52]

XiongC, LuX, GuanH, XuZ. A nonlinear computational model for regional seismic simulation of tall buildings. Bulletin of Earthquake Engineering, 2016, 14(4): 1047-1069

[53]

XiongC, LuX, HuangJ, GuanH. Multi-LOD seismic-damage simulation of urban buildings and case study in Beijing CBD. Bulletin of Earthquake Engineering, 2019, 17(4): 2037-2057

[54]

XiongC, LuX, LinX, XuZ, YeL. Parameter determination and damage assessment for THA-based regional seismic damage prediction of multi-story buildings. Journal of Earthquake Engineering, 2017, 21(3): 461-485

[55]

YuY, GardoniP. Predicting road blockage due to building damage following earthquakes. Reliability Engineering & System Safety, 2022, 219: Article 108220

[56]

YuW, ZhangY, AiT, GuanQ, ChenZ, LiH. Road network generalization considering traffic flow patterns. International Journal of Geographical Information Science, 2020, 34(1): 119-149

[57]

ZhangY. Forecast the distributing of collapsed building with a blur neural network. Sichuan Building Science No., 2006, 1(89–90): 93 (in Chinese)

[58]

ZhangS, LiuY, LiS. A brief method for rapid seismic damage prediction of buildings based on structural strength. Buildings, 2022, 12(6): Article 783

[59]

ZhouY, ShiW, HanR. Vibration test and analysis of the fundamental period of multi-storey masonry structures with large-bay. Engineering Mechanics, 2012, 29(11): 197-204 (in Chinese)

[60]

Zou, Y., V. Gonzalez, J. Lim, R. Amor, B. Guo, and M.B. Jelodar. 2019. Systematic framework for post-earthquake bridge inspection through UAV and 3D BIM reconstruction. In Proceedings of the CIB World Building Congress 2019, 17–21 June 2019, Hong Kong, China.

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