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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F13%3A00206326%21RIV14-TA0-21110___
rdf:type
n12:Vysledek skos:Concept
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S0965997813000355
dcterms:description
The paper introduces different probabilistic models for prediction of tunnel construction risk. First, a simple probabilistic model for the estimation of the damage due to tunnel construction failures (e.g. cave-in collapses) is proposed. It can be used in conjunction with a deterministic estimate of the construction time/costs as a support for decision-making in tunnel construction projects. The occurrence of failures is modelled as an inhomogeneous Poisson process. The model takes into account the heterogeneity of the environment along the tunnel (changing geological conditions, changing damage potential) and it includes the influence of common factors such as human and organisational aspects. The damages caused by the failures are modelled as uncertain and they are thus represented by full probability distributions in the model. Second, the decision-making under uncertainty in construction projects is discussed. The use of the concept of utility for considering the attitude of the stakeholder to risk is demonstrated. The simple probabilistic model and the decision-making concept are applied to a case study of construction of a 480-m-long tunnel. Third, stochastic models for specific problems of tunnel construction, such as impacts ofhttps://www.vvvs.cvut.cz/aplikace/images/vyber.jpg excavation on surface structures or probabilistic prediction of thickness of rock overburden, are introduced. The use of the models is illustrated on an example from Blanka tunnel in Prague. The paper introduces different probabilistic models for prediction of tunnel construction risk. First, a simple probabilistic model for the estimation of the damage due to tunnel construction failures (e.g. cave-in collapses) is proposed. It can be used in conjunction with a deterministic estimate of the construction time/costs as a support for decision-making in tunnel construction projects. The occurrence of failures is modelled as an inhomogeneous Poisson process. The model takes into account the heterogeneity of the environment along the tunnel (changing geological conditions, changing damage potential) and it includes the influence of common factors such as human and organisational aspects. The damages caused by the failures are modelled as uncertain and they are thus represented by full probability distributions in the model. Second, the decision-making under uncertainty in construction projects is discussed. The use of the concept of utility for considering the attitude of the stakeholder to risk is demonstrated. The simple probabilistic model and the decision-making concept are applied to a case study of construction of a 480-m-long tunnel. Third, stochastic models for specific problems of tunnel construction, such as impacts ofhttps://www.vvvs.cvut.cz/aplikace/images/vyber.jpg excavation on surface structures or probabilistic prediction of thickness of rock overburden, are introduced. The use of the models is illustrated on an example from Blanka tunnel in Prague.
dcterms:title
Probabilistic models for tunnel construction risk assessment Probabilistic models for tunnel construction risk assessment
skos:prefLabel
Probabilistic models for tunnel construction risk assessment Probabilistic models for tunnel construction risk assessment
skos:notation
RIV/68407700:21110/13:00206326!RIV14-TA0-21110___
n12:predkladatel
n16:orjk%3A21110
n4:aktivita
n13:P
n4:aktivity
P(TA01030245)
n4:cisloPeriodika
Aug-Sept
n4:dodaniDat
n5:2014
n4:domaciTvurceVysledku
n10:5843979 n10:3638464 n10:4907337 n10:4795180
n4:druhVysledku
n8:J
n4:duvernostUdaju
n21:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
99665
n4:idVysledku
RIV/68407700:21110/13:00206326
n4:jazykVysledku
n15:eng
n4:klicovaSlova
Tunnelling; Construction project; Failure rate; Probabilistic modelling; Risk assessment; Decision-making; Utility; Human factor
n4:klicoveSlovo
n9:Utility n9:Risk%20assessment n9:Tunnelling n9:Human%20factor n9:Probabilistic%20modelling n9:Construction%20project n9:Failure%20rate n9:Decision-making
n4:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n4:kontrolniKodProRIV
[13B445824746]
n4:nazevZdroje
Advances in Engineering Software
n4:obor
n14:JM
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:projekt
n18:TA01030245
n4:rokUplatneniVysledku
n5:2013
n4:svazekPeriodika
62-63
n4:tvurceVysledku
Šejnoha, Jiří Šejnoha, Michal Novotná, Eva Špačková, Olga
n4:wos
000321419500009
s:issn
0965-9978
s:numberOfPages
13
n7:doi
10.1016/j.advengsoft.2013.04.002
n17:organizacniJednotka
21110