magistrsko delo
Irena Andrejašič Troha (Author), Goran Turk (Mentor), Janko Logar (Thesis defence commission member), Bojan Majes (Thesis defence commission member), Marijan Žura (Thesis defence commission member), Jakob Likar (Co-mentor)

Abstract

Analiza tveganja obratovanja globoko temeljenih konstrukcij v Luki Koper

Keywords

gradbeništvo;magistrska dela;tveganje;zanesljivost;pilot;globoko temeljenje;indeks zanesljivosti;normalna porazdelitev;Gumbelova porazdelitev;metoda Monte Carlo;drevo dogodkov;

Data

Language: Slovenian
Year of publishing:
Source: Ljubljana
Typology: 2.09 - Master's Thesis
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: [I. Andrejašič Troha]
UDC: 519.6:624.04:624.154/155(497.4Luka Koper)(043.3)
COBISS: 5820001 Link will open in a new window
Views: 2793
Downloads: 548
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Other data

Secondary language: English
Secondary title: Risk analysis of the operation of deep foundation structures in the Port of Koper
Secondary abstract: The emphasis of the Master thesis is on the risk analysis of deep foundation. These structures are used in the areas of weak upper layer of soil. The risk analysis is a systematic approach of identifying and assessing the risk. In the design of building structures, safety factors are used to provide the required reliability. In general practice, there have been two methods established for structural design. The first method is a deterministic method developed at the beginning of the last century and it is a part of Eurocode standards. The other one is based on the fact that external loads as well as material properties are random variables. Using the probability approach, it is possible to estimate, the reliability of the whole structure or its elements. In the thesis I have analyzed the piles load-carrying capacity for the basin fill area of the quays 7A and 7B at the pier 1 situated at the Port of Koper. Using the Mathematica software, I have estimated the probability of the pile bearing capacity exceedance: - normal distribution, - Gumbel distribution, - The combination of normal and Gumbel distributions. The analytical calculations of the probability of failure were performed for the case at normal distribution. Most of investigated cases have indicated that the possibility of the construction failure is quite low. For all three types of distributions I have created various scenarios for individual probable events. The event tree analysis has produced an interesting and useful detail i.e. a collective risk value for all cases.
Secondary keywords: civil engineering;master of science thesis;risk;reliability;pile;deep foundation;reliability index;normal distribution;Gumbel distribution;Monte Carlo;Event tree;
File type: application/pdf
Type (COBISS): Master's thesis
Thesis comment: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo, Oddelek za promet
Pages: XVIII, 91 str.
Type (ePrints): thesis
Title (ePrints): Risk analysis of the operation of deep foundation structures in the Port of Koper
Keywords (ePrints): tveganje;zanesljivost;pilot;globoko temeljenje;indeks zanesljivosti;normalna porazdelitev;Gumbelova porazdelitev;metoda Monte Carlo;drevo dogodkov
Keywords (ePrints, secondary language): risk;reliability;pile;deep foundation;reliability index;normal distribution;Gumbel distribution;Monte Carlo;Event tree
Abstract (ePrints): Poudarek magistrskega dela je na analizi tveganja globoko temeljenih konstrukcij. Globokega temeljenja konstrukcij se poslužujemo na območju nizke oziroma zelo slabe nosilnosti tal. Analiza tveganja je sistematični pristop prepoznavanja in ocenjevanja tveganja. V okviru projektiranja z varnostnim faktorjem zagotavljamo predpisano, oziroma zahtevano zanesljivost konstrukcije. V splošni praksi sta se do danes uveljavili dve metodi za varno projektiranje konstrukcij. Prva je deterministična metoda, ki je bila razvita v začetku prejšnjega stoletja, in je trenutno vpeljana v standarde Eurocode. Druga metoda pa je verjetnostna in temelji na dejstvu, da so zunanji vplivi in materialne lastnosti posameznih konstrukcijskih elementov slučajne. Z uporabo verjetnostnega pristopa zagotavljanja varnosti je mogoče ovrednotiti zanesljivost konstrukcije ali posameznega konstrukcijskega elementa. V nalogi sem analizirala nosilnost pilotov za objekt Zapolnitev zaledne površine vezov 7.A in 7.B na pomolu I. v Luki Koper. S programom Mathematica sem ocenila verjetnost prekoračitve nosilnosti pilota, kjer sem upoštevala tri primere porazdelitve: - normalno porazdelitev, - Gumbelovo porazdelitev, - kombinacija normalne in Gumbelove porazdelitve. Pri normalni porazdelitvi sem uporabila tudi analitično računanje verjetnosti porušitve. Za večino preverjenih primerov se je izkazalo, da je verjetnost odpovedi konstrukcije relativno majhna. Za vse tri tipe porazdelitev sem predpostavila še različne scenarije dogodkov. Tako sem z drevesom dogodkov dobila zanimiv in koristen podatek oziroma skupno oceno tveganja za posamezne primere.
Abstract (ePrints, secondary language): The emphasis of the Master thesis is on the risk analysis of deep foundation. These structures are used in the areas of weak upper layer of soil. The risk analysis is a systematic approach of identifying and assessing the risk. In the design of building structures, safety factors are used to provide the required reliability. In general practice, there have been two methods established for structural design. The first method is a deterministic method developed at the beginning of the last century and it is a part of Eurocode standards. The other one is based on the fact that external loads as well as material properties are random variables. Using the probability approach, it is possible to estimate, the reliability of the whole structure or its elements. In the thesis I have analyzed the piles load-carrying capacity for the basin fill area of the quays 7A and 7B at the pier 1 situated at the Port of Koper. Using the Mathematica software, I have estimated the probability of the pile bearing capacity exceedance: - normal distribution, - Gumbel distribution, - The combination of normal and Gumbel distributions. The analytical calculations of the probability of failure were performed for the case at normal distribution. Most of investigated cases have indicated that the possibility of the construction failure is quite low. For all three types of distributions I have created various scenarios for individual probable events. The event tree analysis has produced an interesting and useful detail i.e. a collective risk value for all cases.
Keywords (ePrints, secondary language): risk;reliability;pile;deep foundation;reliability index;normal distribution;Gumbel distribution;Monte Carlo;Event tree
ID: 8312405