Danijel Hojski je bil rojen 5. marca 1992 v Mariboru. Leta 2010 je končal splošni program II. Gimnazije v Mariboru in se vpisal na študij prometnega inženirstva na takrat še Fakulteti za gradbeništvo v Mariboru. Po diplomi (2013) je leta 2016 magistriral na modulu Upravljanje prometa in mobilnosti. Leta 2020 se je vpisal program Prometno inženirstvo na Fakulteti za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru. Kandidat ima izkušnje iz javnega (DRI, d.o.o., 2018-2020), zasebnega (Imovation, d.o.o., 2020-2023) ter zadnja leta tudi iz visokošolskega (FGPA UM, 2022-) sektorja. Prvi zaposlitvi sta bazirali na področju razvoja in upravljanja prometnih sistemov ter izvedbe operativnih nalog in tehnične pomoči na področju javnega potniškega prometa, natančneje sistema IJPP. Po zaposlitvi na FGPA, kjer opravlja delo asistenta, je kandidat aktiven na evropskih (CE4CE, Green Path, Degree4Alps, E-Med), nacionalnih (Life IP Care4Climate) in lokalnih (OCPS) projektih, honorarno pa pod FGPA sodeluje tudi z DUJPP (družba za upravljanje JPP). Primarno področje v dosedanji karieri je planiranje prometa in upravljanje mobilnosti, s poudarkom na JPP. Na tem področju je soavtor znanstvenega dela in več drugih vrst objav.
»Doktorska disertacija obravnava problematiko zagotavljanja ustrezne ponudbe v sistemih javnega potniškega prometa (JPP), kjer so na voljo le podatki o vstopih potnikov (validacijski pristop “check-in”). Uvedba brezplačne vozovnice za osebe nad 65 let v medkrajevnem JPP v Sloveniji (sistem IJPP) je povzročila bistveno spremembo v ponudbi in hkrati ponudila edinstveno priložnost za analizo potovalnih vzorcev ter razvoj algoritma za napovedovanje povpraševanja na podlagi e-ticketing podatkov.
Namesto klasičnega pristopa z O-D matrikami, ki upošteva podatke o vstopih in izstopih, metodologija algoritma temelji na O-O matriki, ki uporablja zgolj podatke o vstopih. Algoritem vključuje tudi druge dejavnike, za katere je bil ugotovljen pomemben vpliv na povpraševanje. Retrospektivno testiranje na linijah IJPP je pokazalo več kot 90 % natančnost napovedi, kar dokazuje, da lahko obstoječi e-ticketing podatki učinkovito podpirajo planiranje in prilagajanje ponudbe JPP glede na dejanske potrebe potnikov, tako pri kratkoročnih (dnevnih) spremembah kot tudi za daljša obdobja.«
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“The soils and rocks at the site of geotechnical structures represent uncertain elements for engineers because the initial stress state, previous loading and unloading and pre-consolidation of the soil are uncertain. It is also known that soil properties vary spatially. Probability analyses are used to account for these uncertainties in the design of structures. To account for these uncertainties, this dissertation developed a comprehensive approach for the optimal design of geotechnical structures based on the probability of failure and construction costs, with a focus on multi-objective optimization. This approach for the design of structures based on the probability of failure is called Reliability Based Design (RBD). The optimization method we developed uses a genetic algorithm coded with real numbers.
In the doctoral dissertation, we have analysed numerous methods used in the design of geotechnical structures based on the probability of failure. We presented theoretical principles and demonstrated their complexity using an example where we determined the resistance of foundations to horizontal slippage.
The so-called “extended RBD method” has proven to be the most user-friendly method for engineers as it provides higher quality information on design and failure mechanisms. For all three applied examples of geotechnical structures (gravity retaining wall, geothermal pile and embedded wall), detailed data on the critical bearing capacity conditions for failure were obtained, allowing engineers to prevent certain failure mechanisms by appropriate design changes. In this context, we also formulated the main thesis of the doctoral dissertation, namely that it is possible to develop an effective methodology for the design of geotechnical structures based on the probability of failure and multi-objective optimization.
Analyses and comparisons with the design of geotechnical structures according to Eurocode, which considers partial safety factors, have shown that the developed methodology is more sensitive to all variables and boundary conditions, allows a more comprehensive treatment of structures and leads to optimal designs of the given structures.
The development and testing of the methodology has thus confirmed the potential for its practical application in engineering practice, which could allow additional analysis of structures for higher reliability and more economical design of geotechnical structures.”
