Quantification of debris flow vulnerability of typical bridge substructure based on impact force simulation

Liang, Yuzhao; Xiong, Fen

doi:10.1080/19475705.2019.1641564

Cited by 13 publications

(16 citation statements)

References 23 publications

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“…Impact on the embankment body This is divided into the impact of liquid phase of flow containing sediments diluted in it resulting in a hydrodynamic force ‹ and the impact of debris that flow can carry resulting in a collision force › (Zanchetta et al 2004;Liang and Xiong 2019). Shear stress and weight on the embankment When height of debris flows exceeds the height of embankment, flow exercises force and passes over the embankment crown, exerting a shear stress fi and adding a hydrostatic force fl produced by the weight of fluid over the infrastructure (Zanchetta et al 2004).…”

Section: Demanding Stresses Descriptionmentioning

confidence: 99%

“…The stochastic nature of the natural hazard and susceptibility that the road infrastructure has to damage requires the development of probabilistic models, or fragility curves (Liang and Xiong 2019). Fragility curves estimate the probability of exceeding different limit damage states as function of an intensity measure of the hazard (Shinozuka et al 2000;Schultz et al 2010;Pitilakis et al 2014;Porter 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Dag a et al ( 2018) developed failure curves of bridges exposed to lahar flows of volcanoes, analytically modeling the overturning pier/abutment, as well as the bridge deck sliding. Liang and Xiong (2019) quantified the damage of bridge substructure exposed to the impact of debris flows, obtaining fragility curves through finite element simulation and definition of a damage index.…”

Section: Introductionmentioning

confidence: 99%

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Development of fragility curves for road embankments exposed to perpendicular debris flows

Nieto

Chamorro

Echaveguren

et al. 2021

Geomatics, Natural Hazards and Risk

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Debris flows cause recurrent interruptions and permanent damages in rural road networks, representing significant economic losses. Embankments are road assets frequently exposed to debris flows, especially in mountainous areas. The potential risk of infrastructure exposed to debris flows can be assessed in terms of the probability of expected damage based on fragility curves. The aim of the study is to develop fragility curves for road embankments exposed to debris flows representative to the expected physical damage and capacity loss. Two conceptual models are proposed to describe the impact and erosion of debris flows that run perpendicularly to road embankments. Probabilistic models are then developed in terms of limit state functions and the simulation of potential scenarios. The resulting models are finally fit to log-normal distributions and compared to historical data. Headcut erosion has higher probabilities of occurrence compared to sliding failure caused by the impact of debris flow. Lower road embankments present higher probabilities of failure to the impact of debris flows, especially for dense flows. Whereas, longer interaction times of less dense flows increase the probability of headcut erosion. Two-lane roads may present 50% more probabilities of headcut erosion compared to multilane roads for similar debris flows intensity.

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Section: Demanding Stresses Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of fragility curves for road embankments exposed to perpendicular debris flows

Nieto

Chamorro

Echaveguren

et al. 2021

Geomatics, Natural Hazards and Risk

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show abstract

“…Landslides are induced by extreme or short-term sustained intense precipitation (Chen et al, 2014;Fang et al, 2018;Huang et al, 2014). Furthermore, 3 d rainfall proved to be the most relevant parameter of landslide occurrences in the study area (Lin et al, 2020). Precipitation data of Sangzhi County for the period 1995 to 2016 were collected from the site http://www.cma.gov.cn/ (last access: 26 May 2019).…”

Section: Rainfall Data Analysismentioning

confidence: 99%

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Chen¹,

Chen²,

Gui³

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. Physical vulnerability is a challenging and fundamental issue in landslide risk assessment. Previous studies mostly focus on generalized vulnerability assessment from landslides or other types of slope failures, such as debris flow and rockfall, while the long-term damage induced by slow-moving landslides is usually ignored. In this study, a method was proposed to construct physical vulnerability curves for masonry buildings by taking the Manjiapo landslide as an example. The landslide's force acting on the buildings' foundation is calculated by applying the landslide residual-thrust calculation method. Considering four rainfall scenarios, the buildings' physical responses to the thrust are simulated in terms of potential inclination by using Timoshenko's deep-beam theory. By assuming the landslide safety factor to be landslide intensity and inclination ratio to be vulnerability, a physical vulnerability curve is fitted and the relative function is constructed by applying a Weibull distribution function. To investigate the effects of buildings' parameters that influence vulnerabilities, the length, width, height, and foundation depth and Young's modulus of the foundation are analysed. The validation results on the case building show that the physical vulnerability function can give a good result in accordance with the investigation in the field. The results demonstrate that the building length, width, and foundation depth are the three most critical factors that affect the physical vulnerability value. Also, the result shows that the higher the ratio of length to width of the building, the more serious the damage to the building. Similarly, the shallower the foundation depth is, the more serious the damage will be. We hope that the established physical vulnerability curves can serve as tools for the quantitative risk assessment of slow-moving landslides.

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“…Meanwhile, signs of progress have been made in the past decade in landslide physical vulnerability assessment, and the following four main approaches exist: expert judgment approach (Sterlacchini et al, 2007;Winter et al, 2014;Godfrey et al, 2015;Guillard-Goncalves et al, 2016); statistical method approach (Ciurean et al, 2013;Ciurean et al, 2017); mechanicsbased approach (Luna et al, 2014;Liang and Xiong, 2019;Nicodemo et al, 2020); and integrated approach (Li et al, 2010;45 Uzielli et al, 2015b). The results of these approaches include matrices, indicators, and fragility or physical vulnerability curves or functions.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Chen¹,

Chen²,

Gui³

et al. 2019

Preprint

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Abstract. Physical vulnerability is a difficult fundamental issue in the risk assessment of slow-moving landslides. We aim to develop a method to analyze the physical vulnerability of buildings affected by slow-moving landslides. We calculate the landslide residual force on the buildings' foundation and the landslide safety factor where the buildings are located using the GEOSTUDIO code and landslide residual thrust method. Further, using Timoshenko's deep beam theory, we analyze the physical response of buildings to understand potential inclination. By applying the modified Weibull function, we fit the physical vulnerability function based on the relation between damage degree and landslide intensity. We simulate three rainfall scenarios by employing the Pearson type III distribution model to evaluate changes in the landslide's residual thrust and corresponding buildings' damage degree. To obtain the contributions of the buildings' characteristics to physical vulnerability, we conduct sensitivity analysis, demonstrating that the building length, foundation depth, and building width are the most critical factors. Two physical vulnerability curve sets are separately generated for four building lengths and five building foundation depths. The proposed method can be applied to establish the physical vulnerability of landslides. The established physical vulnerability curves are used for the quantitative risk assessment of slow-moving landslides.

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Quantification of debris flow vulnerability of typical bridge substructure based on impact force simulation

Cited by 13 publications

References 23 publications

Development of fragility curves for road embankments exposed to perpendicular debris flows

Development of fragility curves for road embankments exposed to perpendicular debris flows

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

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