Browsing "Civil and Environmental Engineering publications" by Title

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 509 to 528 of 2849 < previous   next >
PreviewIssue DateTitleAuthor(s)
2005Back analysis for tunnelling induced ground movements and stress redistributionKarakus, M.; Fowell, R.
2015Back analysis of lower river Murray riverbank collapsesLiang, C.; Jaksa, M.; Kuo, Y.; Ostendorf, B.
2023Basic and drying creep of ultra-high performance concreteSun, M.; Visintin, P.; Bennett, T.
2011Battling hydrological monsters: Insights into numerical approximations, data uncertainty and structural errorsKavetski, D.; Evin, G.; Clark, M.; Thyer, M.; Kuczera, G.; Renard, B.; Fenicia, F.; Tuteja, N.; IAHR World Congress (34th : 2011 : Brisbane, Australia)
2010Bayesian artificial neural networks : with applications water resources engineeringHumphrey, G.; Maier, H.; Lambert, M.
2008Bayesian extension of empirical maximum likelihood KrigingDowd, P.; Pardo-Iguzquiza, E.; International Geostatistics Congress (8th : 2008 : Santiago, Chile)
2020Bayesian inverse transient analysis for pipeline condition assessment: parameter estimation and uncertainty quantificationZhang, C.; Lambert, M.F.; Gong, J.; Zecchin, A.C.; Simpson, A.R.; Stephens, M.L.
2008Bayesian model selection applied to artificial neural networks used for water resources modelingHumphrey, G.; Maier, H.; Lambert, M.
2014Bayesian model updating approach for experimental identification of damage in beams using guided wavesNg, C.-T.
2017Bayesian spectral likelihood for hydrological parameter inferenceSchaefli, B.; Kavetski, D.
2007Bayesian total error analysis for hydrologic models: Markov chain Monte Carlo methods to evaluate the posterior distributionKuczera, G.; Kavetski, D.; Renard, B.; Thyer, M.; Oxley, L.; Kulasiri, D.; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
2008Bayesian Total Error Analysis for hydrologic models: Quantifying uncertainties arising from input, output and structural errorsRenard, B.; Kuczera, G.; Kavetski, D.; Thyer, M.; Franks, S.; Water Down Under 2008 (2008 : Adelaide, South Australia)
2007Bayesian total error analysis for hydrologic models: sensitivity to error modelsRenard, B.; Thyer, M.; Kuczera, G.; Kavetski, D.; Oxley, L.; Kulasiri, D.; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
2007Bayesian total error analysis for hydrological models: preliminary evaluation using multi-site catchment rainfall dataThyer, M.; Renard, B.; Kavetski, D.; Kuczera, G.; Srikanthan, R.; Oxley, L.; Kulasiri, D.; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
2005Bayesian training of artificial neural networks used for water resources modelingHumphrey, G.; Lambert, M.; Maier, H.
2007Behavior of Axially Loaded Concrete Filled Rectangular FRP TubesOzbakkaloglu, T.; Oehlers, D.; Triantafilou, T.C.; International Symposium on FRP Reinforcement for Concrete Structures (8th : 2007 : Patras, Greece)
2019Behavior of FRP-confined high-strength concrete under eccentric compression: tests on concrete-filled FRP tube columnsFallah Pour, A.; Gholampour, A.; Zheng, J.; Ozbakkaloglu, T.
2012Behavior of FRP-confined normal- and high-strength concrete under cyclic axial compressionOzbakkaloglu, T.; Akin, E.
2015Behavior of FRP-HSC-steel double-skin tubular columns under cyclic axial compressionAlbitar, M.; Ozbakkaloglu, T.; Louk Fanggi, B.A.
2013Behavior of high-strength concrete-filled FRP tube columns under simulated seismic loading: An experimental studyIdris, Y.; Ozbakkaloglu, T.; Xu, B.; Li, H.; International Conference on Building Materials and Structural Engineering (BMSE) (24 May 2013 - 25 May 2013 : Beijing)