Enriching flood risk analyses with distributions of soil mechanical parameters through the statistical analysis of classification experiments

Schwiersch, Niklas; Heyer, Torsten; Stamm, Jürgen

doi:10.1111/jfr3.12791

Cited by 3 publications

(2 citation statements)

References 21 publications

(17 reference statements)

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“…For frequently performed soil mechanical tests (e.g., sieve analysis, dynamic probing), there are collections of stochastic quantities, such as those found in Baecher and Christian [35] or ISSMGE-TC304 [37]. In a previous study, distributions of selected soil mechanical parameters were estimated by transforming the results from classification tests [38]. In combination with comprehensive literature research [13,31,[39][40][41][42][43][44][45][46][47][48][49], as well as on experience from the development of the calculation program used [50,51], this study is based on the distributions given in Table 1.…”

Section: Probabilistic Input Parametersmentioning

confidence: 99%

“…Due to the generally sparse availability of distribution of soil mechanical parameters [38], the stochastic information considered here is the result of a comprehensive literature search [13,31,[39][40][41][42][43][44][45][46][47][48][49]. In this way, the distribution type, the expected value, and the coefficient of variation of each input variable can be defined for the purposes of this study, but the three statements cannot necessarily be traced back to one and the same source.…”

Section: Materials Influencesmentioning

confidence: 99%

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Geometric and Material Variability of the Probability of Landward Slope Failure for Homogeneous River Levees

Schwiersch

Stamm

2022

Sustainability

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Holistic flood risk management (FRM) aims at minimizing the flood risk (FR) for an entire river basin. To this end, the probability of flooding and its consequences must also be taken into account in the planning of flood risk management measures. If the FR is to be limited by the flooding probability value (e.g., by changing the structural reliability), knowledge of the variability of the limit state is required. As an example, this study quantifies for the first time the variability of the probability of a landside slope failure on homogeneous river levees, using the Monte Carlo simulation. In the slip circle method developed by Krey that is used for this purpose, four geometric and six material input parameters are included as being uncertain, of which four emerge in the result as being relevant influencing variables of the failure probability. These analyses extend our understanding of landward slope failure by the variability of the limit state; the results allow a targeted adjustment of the local failure probability to limit the flood risk. In the future, the methodology presented is to be supplemented by the integration of parameter dependencies and, once in use, expanded to include structured cross-sections or additional failure mechanisms.

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Section: Probabilistic Input Parametersmentioning

confidence: 99%

Section: Materials Influencesmentioning

confidence: 99%

Geometric and Material Variability of the Probability of Landward Slope Failure for Homogeneous River Levees

Schwiersch

Stamm

2022

Sustainability

Self Cite

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Steuerung der Versagenswahrscheinlichkeit homogener Deichböschungen

Schwiersch¹,

Stamm²

2022

Wasserwirtsch

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Stress and deformation control of prestressed concrete beams with corrugated web

Zhang¹,

Xu²,

Chang³

et al. 2023

mat express

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Under unidirectional loading, the material composition and joint arrangement of prestressed concrete beams with corrugated steel webs are determined by deformation stress parameters. Furthermore, using the combined analysis method of longitudinal loading and mechanical parameters, a stress and deformation control model of prestressed concrete beams with corrugated steel webs under unidirectional loading is established. In this paper, the corrugated steel webs are studied experimentally and theoretically, and numerical simulations are carried out. In this paper, by establishing the relationship between the grain friction angle and roughness of corrugated steel web prestressed concrete beams under uniaxial strain and using concrete loading mode, the forces of corrugated steel web prestressed concrete beams under uniaxial strain are calculated and adaptively regulated. The experimental results show that the algorithm can accurately estimate and control the deformation and stress of Prestressed concrete beams under uniaxial strain. The grain size parameters of prestressed beams with corrugated steel webs under unidirectional loading were studied, and their mechanical properties were optimized.

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Enriching flood risk analyses with distributions of soil mechanical parameters through the statistical analysis of classification experiments

Cited by 3 publications

References 21 publications

Geometric and Material Variability of the Probability of Landward Slope Failure for Homogeneous River Levees

Geometric and Material Variability of the Probability of Landward Slope Failure for Homogeneous River Levees

Steuerung der Versagenswahrscheinlichkeit homogener Deichböschungen

Stress and deformation control of prestressed concrete beams with corrugated web

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