Skip to main content

Advertisement

Log in

Progressive failure of buildings under landslide impact

  • Original Paper
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Buildings are the most concerned element in landslide risk assessment. A weak link in landslide risk analysis is the evaluation of building response and vulnerability when impacted by a landslide. In this paper, failure mechanisms and processes of typical reinforced concrete buildings upon landslide impacts are discovered through an explicit time integration analysis in LS-DYNA. The Arbitrary Lagrangian–Eulerian formulation, which allows automatic rezoning, is applied to simulate the landslide flow dynamics and the impact into the building. Three landslide intensity levels are considered. Progressive collapse of the building is observed in the high-impact intensity case. The frontal walls are firstly destroyed due to its low out-of-plane flexural capacity, followed by the progressive failure of columns at the ground floor. The collapse of building occurs when the remaining load-bearing components cannot resist the superstructure loadings. Two plastic hinge failure mechanisms are observed on the damaged columns when the ultimate bending moments of the columns are exceeded at both ends. Finally, a five-class classification system is proposed to evaluate building damage states based on field observations and the numerical simulation results. The analysis helps robust building design and assessment of building vulnerability to landslides.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Akbas SO, Blahut J, Sterlacchini S (2009) Critical assessment of existing physical vulnerability estimation approaches for debris flows. In: Malet JP, Remaitre A, Bogaard T (eds) Proceedings of landslide processes: from geomorphologic mapping to dynamic modelling. Strasburg, France, 6–7 February 2009, pp 229–233

  • Almusallam TH, Mendis P, Ngo T, Elsanadedy HM, Abbas H, Alsayed SH, Al-Salloum YA, Alhaddad MS (2010) Progressive collapse analysis of a typical RC building of Riyadh. IMPLAST 2010—SEM Fall Conference, University of Rhode Island, USA

  • Armanini A (1997) On the dynamic impact of debris flows. Recent developments on debris flows. In: Lecture Notes in Earth Sciences. Springer, Berlin, pp 208–226

    Google Scholar 

  • Canelli L, Ferrero AM, Migliazza M, Segalini A (2012) Debris flow risk mitigation by the means of rigid and flexible barriers—experimental tests and impact analysis. Nat Hazard Earth Syst 12(5):1693–1699

    Article  Google Scholar 

  • Corominas J, van Westen C, Frattini P, Cascini L, Malet JP, Fotopoulou S, Catani F, Van Den Eeckhaut M, Mavrouli O, Agliardi F, Pitilakis K, Winter MG, Pastor M, Ferlisi S, Tofani V, Hervàs J, Smith JT (2014) Recommendations for the quantitative analysis of landslide risk. B Eng Geol Environ 73(2):209–263

    Google Scholar 

  • Cui P, Zeng C, Lei Y (2015) Experimental analysis on the impact force of viscous debris flow. Earth Surf Process Landf 40(12):1644–1655

    Article  Google Scholar 

  • Eidsvig UMK, Papathoma-Köhle M, Du J, Glade T, Vangelsten BV (2014) Quantification of model uncertainty in debris flow vulnerability assessment. Eng Geol 181:15–26

    Article  Google Scholar 

  • Elsanadedy HM, Almusallam TH, Alharbi YR, Al-Salloum YA, Abbas H (2014) Progressive collapse potential of a typical steel building due to blast attacks. J Constr Steel Res 101:143–157

    Article  Google Scholar 

  • Faella C, Nigro E (2003a) Dynamic impact of the debris flows on the constructions during the hydrogeological disaster in Campania—1998: failure mechanical models and evaluation of the impact velocity. In Proc. of the Int. Conf. on “Fast slope movements—prediction and prevention for risk mitigation”, Napoli, May 11–13, 2003, pp 179–186 (in Italy)

  • Faella C, Nigro E (2003b) Dynamic impact of the debris flows on the constructions during the hydrogeological disaster in Campania—1998: description and analysis of the damages. In Proc. of the Int. Conf. on “Fast slope movements—prediction and prevention for risk mitigation”, Napoli, May 11–13, 2003, pp 187–193 (in Italy)

  • Federico F, Amoruso A (2008) Simulation of mechanical effects due to the impact of fluid-like debris flows on structures. Ital J Eng Geol Environ 1:5–24

    Google Scholar 

  • Fotopoulou SD, Pitilakis KD (2013) Vulnerability assessment of reinforced concrete buildings subjected to seismically triggered slow-moving earth slides. Landslides 10(5):563–582

    Article  Google Scholar 

  • Fuchs S, Heiss K, Hübl J (2007) Towards an empirical vulnerability function for use in debris flow risk assessment. Nat Hazard Earth Syst 7(5):495–506

    Article  Google Scholar 

  • Hallquist JO (2006) LS-DYNA theory manual. Version 971. Software Technology Corporation, Livermore

    Google Scholar 

  • Hu KH, Cui P, Zhang JQ (2012) Characteristics of damage to buildings by debris flows on 7 August 2010 in Zhouqu, Western China. Nat Hazard Earth Syst 12(7):2209–2217

    Article  Google Scholar 

  • Hübl J, Holzinger G (2003) Entwicklung von Grundlagen zur Dimensionierung kronenoffener Bauwerke für die Geschiebebewirtschaftung in Wildbächen: Kleinmaßstäbliche Modellversuche zur Wirkung von Murbrechern [Development of design basis for crest open structures for debris flow management in torrents: miniaturized tests for the efficiency estimation of debris flow breakers]. WLS report 50 band 3, Im Auftrag des BMLFUW VC 7a. University of Natural Resources and Applied Life Sciences, Vienna (in German)

  • Hübl J, Suda J, Proske D, Kaitna R, Scheidl C (2009) Debris flow impact estimation. In Proceedings of the 11th International Symposium on Water Management and Hydraulic Engineering, Ohrid, Macedonia, pp 1–5

  • Hungr O, Morgan GC, Kellerhals R (1984) Quantitative analysis of debris torrent hazards for design of remedial measures. Can Geotech J 21(4):663–677

    Article  Google Scholar 

  • Jakob M, Stein D, Ulmi M (2012) Vulnerability of buildings to debris flow impact. Nat Hazards 60(2):241–261

    Article  Google Scholar 

  • Kang HS, Kim YT (2016) The physical vulnerability of different types of building structure to debris flow events. Nat Hazards 80(3):1475–1493

    Article  Google Scholar 

  • Koo RCH, Kwan JS, Lam C, Goodwin GR, Choi C, Ng CWW, Yiu J, Ho KKS, Pun WK (2017) Back-analysis of geophysical flows using 3-dimensional runout model. Can Geotech J 55(8):1081–1094

    Article  Google Scholar 

  • Kwan JSH, Koo RCH, Ng CWW (2015) Landslide mobility analysis for design of multiple debris-resisting barriers. Can Geotech J 52(9):1345–1359

    Article  Google Scholar 

  • Leone F, Asté JP, Leroi E (1996) Vulnerability assessment of elements exposed to mass-movement: working toward a better risk perception. In: Senneset K (ed) VII International Symposium on Landslide. A.A. Balkema, Trondheim, Norway, 17–21 June 1996, pp 263–269

  • Li Z, Nadim F, Huang H, Uzielli M, Lacasse S (2010) Quantitative vulnerability estimation for scenario-based landslide hazards. Landslides 7(2):125–134

    Article  Google Scholar 

  • Lichtenhahn C (1973) Die Bereclmung von Sperren in Beton und Eisenbeton, Kolloquium on Torrent Dams ODC 384.3. Mitteiltmgea der Forstlichen Bundes-Versuchsanstalt, pp 91–127

  • Lin F, Ji H, Li Y, Zuo Z, Gu X, Li Y (2014) Prediction of ground motion due to the collapse of a large-scale cooling tower under strong earthquakes. Soil Dyn Earthq Eng 65:43–54

    Article  Google Scholar 

  • Lo DOK (2000) Review of natural terrain landslide debris-resisting barrier design. Special project report no. SPR 1/2000 (GEO report no. 104), Geotechnical Engineering Office of the Civil Engineering and Development Department, HKSAR

  • Lo WC, Tsao TC, Hsu CH (2012) Building vulnerability to debris flows in Taiwan: a preliminary study. Nat Hazards 64(3):2107–2128

    Article  Google Scholar 

  • Mavrouli O, Corominas J (2010a) Vulnerability of simple reinforced concrete buildings to damage by rock falls. Landslides 7(2):169–180

    Article  Google Scholar 

  • Mavrouli O, Corominas J (2010b) Rockfall vulnerability assessment for reinforced concrete buildings. Nat Hazard Earth Syst 10(10):2055–2066

    Article  Google Scholar 

  • Mavrouli O, Fotopoulou S, Pitilakis K, Zuccaro G, Corominas J, Santo A, Cacace F, De Gregorio D, Di Crescenzo G, Foerster E, Ulrich T (2014) Vulnerability assessment for reinforced concrete buildings exposed to landslides. Bull Eng Geol Environ 73(2):265–289

    Google Scholar 

  • MOHURD (2010) Code for design concrete structures (GB 50010–2010). Chinese Construction Industry Press, Beijing (in Chinese)

    Google Scholar 

  • MOHURD (2012) Load code for the design of building structures (GB 50009–2012). Chinese Construction Industry Press, Beijing (in Chinese)

    Google Scholar 

  • Murray YD (2007) Users’ manual for LS-DYNA concrete material model 159 (No. FHWA-HRT-05-062)

  • Negulescu C, Foerster E (2010) Parametric studies and quantitative assessment of the vulnerability of a RC frame building exposed to differential settlements. Nat Hazard Earth Syst 10(9):1781–1792

    Article  Google Scholar 

  • Orr TL (2017) Defining and selecting characteristic values of geotechnical parameters for designs to Eurocode 7. Georisk 11(1):103–115

    Google Scholar 

  • Parisi F, Sabella G (2017) Flow-type landslide fragility of reinforced concrete framed buildings. Eng Struct 131:28–43

    Article  Google Scholar 

  • Peduto D, Ferlisi S, Nicodemo G, Reale D, Pisciotta G, Gullà G (2017) Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales. Landslides 14(6):1993–2007

    Article  Google Scholar 

  • Quan Luna B, Blahut J, Van Westen CJ, Sterlacchini S, van Asch TW, Akbas SO (2011) The application of numerical debris flow modelling for the generation of physical vulnerability curves. Nat Hazards Earth Syst 11(7):2047–2060

    Article  Google Scholar 

  • Tiwari B, Marui H (1999) Landslide investigation and prevention practice in Nepal. 研究年報 20:37–55

    Google Scholar 

  • Totschnig R, Fuchs S (2013) Mountain torrents: quantifying vulnerability and assessing uncertainties. Eng Geol 155:31–44

    Article  Google Scholar 

  • Uzielli M, Nadim F, Lacasse S, Kaynia AM (2008) A conceptual framework for quantitative estimation of physical vulnerability to landslides. Eng Geol 102(3):251–256

    Article  Google Scholar 

  • Uzielli M, Catani F, Tofani V, Casagli N (2015) Risk analysis for the Ancona landslide—II: estimation of risk to buildings. Landslides 12(1):83–100

    Article  Google Scholar 

  • Vamvatsikos D, Kouris L, Panagopoulos G, Kappos A, Nigro E, Rossetto T, Lloyd TO, Stathopoulos T (2010) Structural vulnerability assessment under natural hazards: a review. Proceedings of COST action C26 final international conference on Urban habitat construction under catastrophic events, Naples, 17–18 Sep 2010, pp 711–723

  • Wu JS, Tian LQ, Kang ZC, Zhang YF, Liu J (1993) Debris flow and its comprehensive control. Science Press, Beijing (in Chinese)

    Google Scholar 

  • Xiao T, Li DQ, Cao ZJ, Tang XS (2017) Full probabilistic design of slopes in spatially variable soils using simplified reliability analysis method. Georisk 11(1):146–159

    Google Scholar 

  • Yin Y, Li B, Wang W, Zhan L, Xue Q, Gao Y, Zhang N, Chen H, Liu T, Li A (2016) Mechanism of the December 2015 catastrophic landslide at the Shenzhen landfill and controlling geotechnical risks of urbanization. Engineering 2(2):230–249

    Article  Google Scholar 

  • Zeng C, Cui P, Su Z, Lei Y, Chen R (2015) Failure modes of reinforced concrete columns of buildings under debris flow impact. Landslides 12(3):561–571

    Article  Google Scholar 

  • Zhang S, Zhang LM, Li XY, Xu Q (2018) Physical vulnerability models for assessing building damage by debris flows. Eng Geol 247:145–158

    Article  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the support from the Research Grants Council of the Hong Kong SAR (Nos. T22-603/15N and C6012-15G).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to L. M. Zhang.

Appendix-model verification: beam analysis

Appendix-model verification: beam analysis

In order to validate the applied numerical model, a typical RC beam, which is commonly used in China, is selected to conduct the three-point bending test simulation (Zeng et al. 2015). Two rigid cylindrical supports are set to support the beam. A concentrated load is imposed on the middle span of the beam in a ramp function and monotonically increased until failure. The failure process is analyzed, and the simulated cracking moment of concrete, ultimate bending moment of the beam, and time history of axial stress in the rebar are compared with the analytical results calculated based on the limit state theory for reinforced concrete structure design. The material parameters for the beam model are identical to those for the building model in Table 1. The cracking moment can be calculated based on the specification for the design of concrete structure (MOHURD 2010): MCr = ftkW0 = 7 MPa, where ftk is the concrete tensile characteristic strength and W0 is the resistance moment of the equivalent cross-section. For the cross-section at the middle span, the stress in the rebar before cracking is calculated as σcr-b = Esftk/Ec = 14 MPa, where Es and Ec are the Young’s modulus of rebar and concrete, respectively. After cracking, the stress in the rebar is expressed as σcr-a = Esftk/Ec + ftkAc/As = 154 MPa, where Ac and As are the areas of tensile concrete and tensile rebar, respectively. Besides, as shown in Fig. 12, the ultimate bending moment of the beam can be calculated based on force equilibrium (Eq. (11)) and moment equilibrium (Eq. (12)):

$$ {f}_y{A}_s={\alpha}_1{f}_{ck} bx+{f}_y^{\hbox{'}}{A}_s^{\hbox{'}} $$
(11)
$$ {M}_u={\alpha}_1{f}_{ck} bx\times \left({h}_0-\frac{x}{2}\right)+{f}_y^{\hbox{'}}{A}_s^{\hbox{'}}\left({h}_0-{a}_s^{\hbox{'}}\right) $$
(12)

where fy and fy are the tensile and compressive stresses of the longitudinal reinforcement, respectively; As and As are the areas of tensile and compressive longitudinal reinforcement, respectively; α1 is a coefficient of concrete grade; fck is the concrete compressive characteristic strength; b is the width of column section; x is the compression height; and h0 is the effective height of the cross-section. If x < as, the compressive stress of the rebar does not reach fy; so, the ultimate bending moment can be calculated by assuming x = as and taking a moment to the centroid of compressive rebar; Mu = fyAs(h0 − as) = 40 kNm.

Fig. 12
figure 12

(a) Cross-section and (b) diagrams for calculating bearing capacity of beam

Snapshots of typical beam failure process from the numerical analysis are shown in Fig. 13. The development and distribution of cracks are described by the contours of the plastic strain. At 0.10 s, the cracking moment is reached, and, then, cracks occur in the tensile zone. Besides, the stress of the tensile rebar experiences a rapid increase at the crack point, from 16 to 157 MPa (Fig. 14). After cracking, the stresses of the tensile reinforcement and compressive concrete increase with the applied pressure, and, finally, the beam reaches the ultimate bending moment state. The numerical model reflects well the typical beam failure process, and the simulated results are very close to those from the static analysis.

Fig. 13
figure 13

Snapshots of beam failure process: contours of plastic strain

Fig. 14
figure 14

Time histories of bending moment and axial stress of the reinforcement at the middle span

To consider the mesh size effect, the same three-point bending tests are simulated using different element sizes of the concrete beam. The time histories of bending moment at the middle section are compared in Fig. 15. The different element sizes almost produce the same results. Considering that the stability of the explicit integration scheme is determined by the time step, a smaller element size allows smaller time step to ensure a stable analysis and, thus, requires significantly longer computing time. So, a mesh size of 0.075 m is applied in the impact analysis.

Fig. 15
figure 15

Time histories of bending moment at the middle span for different concrete element sizes

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luo, H.Y., Zhang, L.L. & Zhang, L.M. Progressive failure of buildings under landslide impact. Landslides 16, 1327–1340 (2019). https://doi.org/10.1007/s10346-019-01164-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-019-01164-0

Keywords

Navigation